(adopted by ccta, july 20, 2005) · pdf file(adopted by ccta, july 20, 2005) prepared for:...

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(Adopted by CCTA, July 20, 2005)

Prepared for:

Contra Costa Transportation Authority

Prepared by:

Dowling Associates Inc. with

Cambridge Systematics, Inc. Caliper Corporation

180 Grand Avenue, Suite 250 Oakland, CA 94612 Phone: (510) 839-1742; Fax: (510) 839-0871 www.dowlinginc.com

Table of Contents

1.0 Introduction ................................................................................................................... 1

8.0 Model Validation............................................................................................................. 1

8.1 Systemwide Validation ................................................................................................ 1

8.2 Highway Assignment Validation ................................................................................... 2

8.3 Transit Assignments.................................................................................................. 13

8.4 Link-Based Highway Validation Tests ......................................................................... 13

9.0 Forecasts ..................................................................................................................... 18

9.1 Introduction ............................................................................................................. 18

9.2 Future Scenarios....................................................................................................... 18

9.3 Land Use Data.......................................................................................................... 18

9.4 Special Generator Data ............................................................................................. 20

9.5 Supplementary Data Files.......................................................................................... 21

9.6 Highway Network Data ............................................................................................. 22

9.7 Transit Network Data ................................................................................................ 23

9.8 Future Intersection Geometry.................................................................................... 23

9.9 Forecast Results ....................................................................................................... 23

Appendix A – RTPC Adopting Resolutions ................................................................................

Appendix B – Resolution 05-03-G ............................................................................................

Appendix C – List of Schools in Contra Costa ..........................................................................

Appendix D – CCTA Screenlines 2000 & 2025 ..........................................................................

List of Figures

Figure 8.1: East County Screenlines ...................................................................................... 5 Figure 8.2: Central County Screenlines .................................................................................. 6 Figure 8.3: West County Screenlines ..................................................................................... 7 Figure 8.4: Tri-Valley Screenlines .......................................................................................... 8 Figure 8.5: Freeway Validation for AM and PM Peak Hour ..................................................... 17 Figure 8.6: Freeway Ramp Validation for AM and PM Peak Hour ........................................... 17

List of Tables

Table 8.1: Systemwide Validation Test .................................................................................. 2 Table 8.2: Validation of Highway Assignment by Facility Type and Time Period........................ 3 Table 8.3: Validation of Highway Assignment by Area Type and Time Period ........................... 4 Table 8.4: Validation of Highway Assignment by Screenline for A.M. Peak and P.M. Peak Hour . 9 Table 8.5: Validation of Highway Assignment by Screenline for A.M. Peak Period, P.M. Peak

Period, and Average Daily Traffic ................................................................................. 11 Table 8.6: Validation of Highway Assignment by Screenline for A.M. Peak Period, P.M. Peak

Period, and Average Daily Traffic ................................................................................. 12 Table 8.7: Transit Assignment Validation Summary .............................................................. 14 Table 8.8: Link-Based Validation Tests by Time Period ......................................................... 15 Table 8.9: Link-Based Validation Tests by Time Period With and Without ODME .................... 16 Table 9.1: Future Scenarios ................................................................................................ 18 Table 9.2: Future Schools in Dougherty Valley ..................................................................... 19 Table 9.3: Special Generators ............................................................................................. 20 Table 9.4: Assumptions for Special Generator Categories...................................................... 20 Table 9.5: Sources of Each Network Scenario ...................................................................... 22 Table 9.6: AM Peak-Hour County-to-County Trip Table Forecasts .......................................... 25 Table 9.7: PM Peak-Hour County-to-County Trip Table Forecasts .......................................... 26 Table 9.8: AM Peak-Period County-to-County Trip Table Forecasts ........................................ 27 Table 9.9: PM Peak-Period County-to-County Trip Table Forecasts ........................................ 28 Table 9.10: Daily County-to-County Trip Table Forecasts ...................................................... 29 Table 9.11: AM and PM Peak Hour Screenline Results .......................................................... 30 Table 9.12: PeakPeriod and Daily Screenline Results ............................................................ 31

Decennial Model Update 1 CCTA Travel Model Documentation Addendum

1.0 Introduction

This supplement to the Final Model Documentation provides an update to the model validation (Chapter 8) and the forecast section (Chapter 9) of the Decennial Model Update Documentation previously issued in June 2003. The validation section has been updated to reflect extensive refinements that were made to the model through a comprehensive local review process. The chapter on forecasting reflects the Authority adopted model results for 2025, carrying forward the results of the final validation. These results (for 2000 and 2025) are also posted on the Authority’s modeling website at http://gis.camys.com/ccta_local_review.

BACKGROUND

June 2003 marked an important milestone in the unveiling of the Authority’s new 2,700 -zone TransCAD® travel demand forecasting computer model (the “Countywide Model”). At that time, final documentation for the Countywide Model was released, along with a User’s Guide, and a Regional Consistency Report required by MTC. The majority of work on the Authority’s decennial model update – that is, transferring over MTC’s model, merging the subarea zone systems into one large model, refining the highway and transit network, creating special generators, and preliminary validation and calibration – was essentially complete.

Furthermore, for the first time in the history of Bay Area modeling, and for that matter in all of the western states, a travel demand model was served up on the web for local review and use. This was accomplished using TransCAD for the Web® software. The Authority’s modeling website allowed any user from any location to view the Countywide Model’s network, land use, orthography, underlying input assumptions, and results.

The first major application of the Countywide Model began in late 2003 with development of the draft 2004 Update to the Countywide Comprehensive Transportation Plan (CTP) and associated environmental document. Shortly thereafter, the model was applied for a number of major studies, including the General Plan updates for Walnut Creek and Concord, the Caldecott Tunnel Project Study Report, and other of major subregional traffic impact analyses.

But to fulfill the stringent modeling requirements for local application of the model in the context of the Measure C Growth Management Program, it became clear based upon review comments received from local jurisdictions that more validation work was needed.

LOCAL REVIEW PROCESS

The overall goal of the local review process that was initiated in fall of 2003 was to gain full local acceptance of the Countywide Model, and to retire the previous subarea model sets. To kick off the process, the consultant prepared a set of binders given to each member of each Technical Advisory Committee (TAC) within each Regional Transportation Planning Committees (RTPC). The binders included essentially all of the model input and output data of


interest to local planners and engineers. Each binder (for West, Central, East, and the Tri-Valley) contained the following information:

• An overview of the decennial model update process; • Highway and transit assignment validation and forecast results; • Trip Generation, distribution, and mode choice results; • Land use and demographic forecasts; and • Highway and Transit network assumptions.

Beginning in November 2003 and through April 2004, the binders were discussed and reviewed by the RTPC TACs. Through this review process, more than 100 individual comments were generated regarding the model land use, network, and other input assumptions. Each comment was tracked through an Action Items list that specified the proposed response to the comment in terms of possible changes that could be made to the model.

During this first round of RTPC review, the 2004 CTP EIR was completed, and the Final CTP was adopted by the Authority in May 2004. Additional refinements and improvements to the model that were incorporated through the CTP EIR development process were applied to the updated model version.

Also during this period, the RTPC-TAC action items were reviewed by the Technical Modeling Working Group (TMWG) and incorporated as appropriate. In the summer of 2004, the Countywide Model was extensively refined to incorporate the RTPC comments. A new set of notebook inserts was then released the following October and November of 2004, and the RTPC TACs conducted a second round of detailed review. During spring and summer of 2005, each RTPC passed a resolution accepting the Countywide Model as the new “model of choice” to supersede the previous subarea models (see Appendix A for the adopting resolutions).

In July 2005, the Authority formally adopted the countywide model by Resolution 05-03-G (Appendix B). This approval, however, was conditional in nature, based upon a recommendation from the Authority’s Technical Coordinating Committee (TCC) to commit to further calibration refinements through a post-processing technique called Origin-Destination Matrix Estimation (ODME).

INCORPORATION OF ODME

The ODME technique uses a matrix balancing and traffic assignment algorithm to develop trip table adjustments that result in achievement of a pre-defined set of target values that the user can manually input to the model. The target values are generally actual traffic counts that represent the base-year conditions that the modeler wishes to accurately emulate before preparing the forecast.

Efforts to implement ODME were initially unsuccessful due to errors in the TransCAD 4.6 software. To successfully implement the technique, it was first necessary to upgrade the Countywide Model to run in version 4.8, and then apply ODME using this new, improved modeling platform. The ODME technique was fully implemented in January 2006.


Following a final review by the TMWG in January 2006, draft guidelines for ODME implementation were circulated and approved for incorporation into the forthcoming update to the Authority’s Technical Procedures.

The following revision to Chapter 8 (Validation) of the Model Documentation shows the results for the validation from both the pre- and post ODME analysis. The forecasting results shown in Chapter 9 (Forecasting) do not incorporate the ODME adjustments, however, a process for doing so in included in the update to the User’s Guide (see the March 2006 Update).

In parallel with the final adoption of the model, a new update to the model, using the P-2003 land use dataset, was developed and is available for use by consultants and local planners. To obtain documentation on the P-2003 update, please visit the Authority’s website at ccta.net


8.0 Model Validation

The primary purpose of model validation is to test the reasonableness of the travel demand forecasting model for the planning applications it will be used to evaluate. The goal is to validate different components of the modeling system separately and to validate different model outputs that will be used in planning evaluations. To that end, the following categories of model validation targets were considered:

1. Geographic comparisons of daily model volumes and traffic counts to review the rea-sonableness of the trip generation model component.

2. Screenline and cordon line comparisons of daily, a.m. and p.m. peak hour model vol-umes and traffic counts to review the reasonableness of the trip distribution, mode choice and trip assignment component. This would also include comparisons of model boardings and observed counts for groups of transit lines to represent corridors.

3. Total boardings, transfer rates, and total daily model volumes compared to observed counts by mode to review the reasonableness of the mode choice component.

4. Total daily and time period comparisons of model volumes and traffic counts by facility type, area type, and volume group to assess the reasonableness of the trip assignment and peak spreading model component. Time periods would include a.m. and p.m. peak periods and a.m. and p.m. peak hours.

5. Systemwide comparisons of model and observed measures of performance. For the highway system, this would include vehicle miles traveled, vehicle hours traveled and vehicle hours of delay. For the transit system, this would include total boardings by operator, total boardings by type of service (local or express), number of transfers by operator and total boardings by time period.

6. Link-based comparisons of a.m. and p.m. peak hour volumes and traffic counts by facility type and time period to assess the reliability of the volumes.

Validation targets for each of these categories were developed to provide a reasonable level of accuracy at the countywide and subarea planning level expectations. It is not expected that the validated county model would meet the expectations of project-level or local level planning applications without localized refinements to the input data.

8.1 Systemwide Validation

The systemwide validation is completed for the CCTA study area and considers miles traveled, as well as hours traveled to consider the reasonable of speed on the overall system. Regionwide validation is completed for the nine-county Bay Area in the context of the MTC consistency requirements for trip generation, trip distribution, and mode choice and is presented in the MTC Model Consistency report.


The CCTA travel model is within +/-4 percent of the systemwide vehicle miles traveled, within +/-6 percent of the systemwide vehicle hours traveled and within +/-4 percent of the systemwide vehicle hours of delay for all time periods, except for a.m. peak hour, which is 11 percent over-estimated. In addition, the CCTA travel model predicts an average speed within +/-3 percent of observed for all time periods. Table 8.1 presents a comparison of the observed and estimated systemwide variables.

Table 8.1: Systemwide Validation Test

Model Results

Variables AM Peak Period

AM Peak Hour

PM Peak Period

PM Peak Hour Target

Highway Assignments VMT Counts 1,408,936 430,544 1,560,724 434,036 VMT Model 1,434,303 448,224 1,624,344 456,046 Percent Difference 2% 4% 4% 5% +/-5% VHT Counts 35,365 15,292 42,926 13,647 VHT Model 35,594 15,619 43,686 14,114 Percent Difference 1% 2% 2% 3% +/-5% VHD Counts 10,436 7,580 14,805 5,761 VHD Model 10,443 7,655 14,925 5,947 Percent Difference 0% 1% 1% 3% +/-5% Average Observed Speed 40 28 36 32 Average Model Speed 40 29 37 32 Percent Difference 1% 2% 2% 2% +/-5% Transit Assignments Daily Boardings 10% +/-10%

8.2 Highway Assignment Validation

The highway assignment is assessed in three individual validation tests, comparing traffic counts to model estimated volumes by facility type, area type, and screenline for each time period. There are five time periods in this analysis: a.m. peak period, p.m. peak period, a.m. peak hour, p.m. peak hour, and daily. The daily assignment is a summation of the a.m. peak period, the p.m. peak period and the off-peak period. The off-peak period is not reported separately for validation purposes, because the average daily traffic is a more critical value for interpretation of results and is therefore reported instead of the off-peak period.

The validation test of highway assignment by facility type is presented in Table 8.2 by time period. This table shows a trend that freeways are slightly over-estimated (but within the validation target by time period) and arterials are slightly under-estimated. Lower level facilities are consistently under-estimated, but this can be improved through local review and judgment of network attributes at a local level. This validation test shows that the model is producing reasonably results by facility type.


Table 8.2: Validation of Highway Assignment by Facility Type and Time Period

Facility Type Number of

Counts 2000 Counts 2000 Model Difference Percent

Difference Target AM PEAK PERIOD (6:00-10:00am) Freeway 87 1,618,674 1,668,126 49,452 3% +/-7%Major Arterial 220 470,554 455,868 -14,686 -3% +/-10%Minor Arterial 24 16,063 14,125 -1,938 -12% +/-15%Collector 99 102,822 76,139 -26,683 -26% +/-25%Total 430 2,208,113 2,214,258 6,145 0% +/-5%PM PEAK PERIOD (3:00-7:00pm) Freeway 87 1,778,711 1,863,803 85,092 5% +/-7%Major Arterial 220 625,488 575,219 -50,269 -8% +/-10%Minor Arterial 24 18,474 19,289 815 4% +/-15%Collector 99 130,253 103,335 -26,918 -21% +/-25%Total 430 2,552,926 2,561,646 8,720 0% +/-5%DAILY Freeway 81 6,508,646 6,681,837 173,191 3% +/-7%Major Arterial 220 2,061,995 1,707,448 -354,547 -17% +/-10%Minor Arterial 24 65,276 65,253 -23 0% +/-15%Collector 99 444,775 300,430 -144,345 -32% +/-25%Total 424 9,080,692 8,754,969 -325,723 -4% +/-5%AM PEAK HOUR Freeway 87 370,509 391,906 21,397 6% +/-7%Major Arterial 220 162,569 163,933 1,364 1% +/-10%Minor Arterial 24 5,788 5,811 23 0% +/-15%Collector 99 34,088 28,989 -5,099 -15% +/-25%Total 430 572,954 590,639 17,685 3% +/-5%PM PEAK HOUR Freeway 87 380,367 403,969 23,602 6% +/-7%Major Arterial 220 183,401 182,285 -1,116 -1% +/-10%Minor Arterial 24 5,553 6,386 833 15% +/-15%Collector 99 37,962 32,229 -5,733 -15% +/-25%Total 430 607,283 624,869 17,586 3% +/-5%

The validation test of highway assignment by area type is presented in Table 8.3 by time period. This table shows that all area types are within the validation target except for rural daily trips and that there are no apparent biases in the model by area type. Rural facilities can benefit from additional local review of roadway attributes.


Table 8.3: Validation of Highway Assignment by Area Type and Time Period

Area Type Number of

Counts 2000

Counts 2000

Model Difference Percent

Difference Old %

Diff Target AM PEAK PERIOD (6:00-10:00am) CBD/Urban Bus 34 182,573 186,293 3,720 0% 0% +/-10%Urban 132 640,182 617,393 -22,789 -4% -4% +/-10% Suburban 184 1,069,918 1,091,322 21,404 2% 2% +/-10% Rural 80 315,440 319,250 3,810 1% 1% +/-10%Total 430 2,208,113 2,214,258 6,145 0% 0% +/-10%PM PEAK PERIOD (3:00-7:00pm) CBD/Urban Bus 34 218,412 226,601 8,189 0% 0% +/-10%Urban 132 742,672 729,447 -13,225 -2% -2% +/-10% Suburban 184 1,240,148 1,241,364 1,216 0% 0% +/-10% Rural 80 351,694 364,234 12,540 4% 4% +/-10%Total 430 2,552,926 2,561,646 8,720 0% 0% +/-10%DAILY CBD/Urban Bus 34 772,199 749,478 -22,721 0% 0% +/-10%Urban 132 2,698,283 2,569,943 -128,340 -5% -5% +/-10% Suburban 184 4,346,229 4,209,434 -136,795 -3% -3% +/-10% Rural 80 1,263,981 1,226,114 -37,867 -3% -3% +/-10%Total 430 9,080,692 8,754,969 -325,723 -4% -4% +/-10%AM PEAK HOUR CBD/Urban Bus 34 37,855 50,100 12,245 32% 32% +/-10%Urban 132 169,315 170,158 843 0% 0% +/-10% Suburban 184 280,553 282,782 2,229 1% 1% +/-10% Rural 80 85,231 87,599 2,368 3% 3% +/-10%Total 430 572,954 590,639 17,685 3% 3% +/-10%PM PEAK HOUR CBD/Urban Bus 34 43,817 55,510 11,693 27% 27% +/-10%Urban 132 176,873 182,895 6,022 3% 3% +/-10% Suburban 184 297,515 296,660 -855 0% 0% +/-10% Rural 80 89,078 89,804 726 1% 1% +/-10%Total 430 607,283 624,869 17,586 3% 3% +/-10%

The third validation test for highway assignment is to compare screenline traffic counts against model volumes. This validation test has been in use in Contra Costa for many years and as such, the screenlines are actively used to assess the reliability of the model in any particular local area. Figures 8.1 through 8.4 present the locations of screenlines in the East County, Central County, West County, and Tri-Valley subareas, respectively.


Figure 8.1: East County Screenlines


Figure 8.2: Central County Screenlines


Figure 8.3: West County Screenlines


Figure 8.4: Tri-Valley Screenlines

The validation test is on the summation of all links in a screenline for the a.m. and p.m. peak hours. In the a.m. peak hour, there are only one screenline that is outside the 15% deviation and that is the Trivalley screenline (R-3). This is a very congested corridor and model over-estimation can be considered reasonable since the counts may be constrained. In the p.m. peak hour, there is only one screenline that is outside the maximum desirable deviation and that is the Richmond/San Pablo screenline. I-580 is not included in this screenline and the east-west movements are dominated by the parallel traffic on I-580, which is slightly over-estimated. The screenline summaries for the a.m. and p.m. peak hours are provided in Table 8.4.


No. Name2000 AM Count

2000 AM Model % Diff

2000 PM Count

2000 PM Model % Diff

Central I1 SR 4 23,967 26,112 9% 25,623 27,876 9%Central I2 Concord 29,027 30,312 4% 31,414 31,692 1%Central I3 Orinda 16,523 17,171 4% 15,887 17,229 8%Central I4 I-680 39,372 36,460 -7% 43,621 39,581 -9%Central I5 Treat 34,701 36,244 4% 36,840 38,556 5%Central I6 Ygnacio 29,072 29,641 2% 30,089 31,594 5%Central I7 SR24 5,356 4,873 -9% 5,717 5,709 0%Central I8 Walnut Creek 27,465 30,318 10% 29,867 33,122 11%Tri-Valley I9 San Ramon 14,779 14,907 1% 15,943 16,317 2%Tri-Valley I10 Danville(NB / SB) 7,002 7,118 2% 7,241 7,006 -3%Tri-Valley I11 Danville (EB / WB 7,564 6,955 -8% 7,667 8,039 5%

East I12 Antioch/Brentwoo 6,727 6,555 -3% 7,918 7,877 -1%East I13 Oakley/Brentwood 6,412 6,951 8% 7,539 7,858 4%West I14 Richmond 21,176 21,785 3% 21,520 22,378 4%West I15 Rich/Sanpb 16,118 14,890 -8% 18,589 15,672 -16%Tri-Valley I16 I-580 23,939 22,394 -6% 26,507 24,304 -8%Tri-Valley I17 West Livermore 20,486 20,713 1% 21,015 22,956 9%West I18 Pinole/County 20,701 22,568 9% 21,193 23,067 9%

Total 350,387 355,967 2% 374,190 380,833 2%

Cordon Line CordonCordon Line 86,122 82,390 -4% 90,766 88,141 -3%West R1 West/Central 5,743 6,166 7% 6,090 5,969 -2%Central R2 Lamorinda 21,069 19,652 -7% 20,174 21,372 6%Central R3 TriValley 16,823 19,670 17% 17,989 19,386 8%East R4 Central/East 16,872 18,483 10% 17,268 18,579 8%Central R5 S.C Central 6,627 7,171 8% 7,408 8,136 10%East R6 S.C East 12,553 14,246 13% 14,355 15,846 10%Tri-Valley R7 S.C Tri Valley 14,486 14,671 1% 15,147 15,535 3%West R8 S.C West 16,359 18,005 10% 17,711 17,967 1%Tri-Valley R9 Alameda County 21,661 21,617 0% 18,731 18,553 -1%Tri-Valley R10 Sunol 9,450 10,243 8% 11,894 12,917 9%Tri-Valley R11 Greenville 10,641 10,809 2% 11,587 11,959 3%

Total 238,406 243,123 2% 249,120 254,360 2%

East 42,564 46,235 9% 47,080 50,160 7%Central 250,002 257,624 3% 264,629 274,253 4%West 80,097 83,414 4% 85,103 85,053 0%Tri-Valley 130,008 129,427 0% 135,732 137,586 1%Cordon Line 86,122 82,390 -4% 90,766 88,141 -3%

588,793 599,090 2% 623,310 635,193 2%

Screenline AM Peak Hour PM Peak Hour

Internal Screenlines

Regional Screenlines

Total By Subarea

Grand Total (Regional +Internal)

Table 8.4: Validation of Highway Assignment by Screenline for A.M. Peak and P.M. Peak Hour


Screenline summaries for a.m. peak period, p.m. peak period, and daily assignments are presented in Table 8.5. These are reported for information only, since the validation targets were set for peak hour assignments only. Detailed screenline summaries by direction and link are available upon request from the CCTA.

Screenlines are also summarized by subarea in Tables 8.4 and 8.5 to indicate whether there are any biases in the model in these areas. All time periods, except average daily traffic, are within +/- six percent by subarea. The difference in average daily traffic is primarily the result of the off-peak traffic assignment, which under-estimated counts overall by eight percent.




2000 PM Count


2000 Daily Count

2000 Daily Model % Diff

Central I1 SR 4 78,142 83,924 7% 94,346 99,881 6% 342,425 325,577 -5%Central I2 Concord 93,450 93,886 0% 110,895 108,578 -2% 357,052 352,102 -1%Central I3 Orinda 54,210 56,579 4% 58,449 60,682 4% 212,515 219,386 3%Central I4 I-680 127,609 113,652 -11% 151,220 136,832 -10% 513,032 449,806 -12%Central I5 Treat 109,006 102,239 -6% 132,325 123,652 -7% 462,630 401,141 -13%Central I6 Ygnacio 90,074 87,765 -3% 110,765 102,123 -8% 390,740 347,562 -11%Central I7 SR24 16,179 17,300 7% 20,025 20,589 3% 69,529 72,632 4%Central I8 Walnut Creek 89,068 92,900 4% 107,452 112,179 4% 386,465 362,525 -6%Tri-Valley I9 San Ramon 46,981 44,409 -5% 55,626 55,656 0% 190,784 181,608 -5%Tri-Valley I10 Danville(NB / SB) 19,243 19,542 2% 25,205 25,274 0% 83,278 77,117 -7%Tri-Valley I11 Danville (EB / WB) 20,995 20,513 -2% 24,537 27,595 12% 82,543 85,141 3%East I12 Antioch/Brentwood 21,955 21,750 -1% 27,383 27,021 -1% 99,570 78,875 -21%East I13 Oakley/Brentwood 23,268 21,832 -6% 27,450 26,528 -3% 96,039 79,110 -18%West I14 Richmond 69,375 70,332 1% 79,697 80,234 1% 303,131 295,245 -3%West I15 Rich/Sanpb 52,328 47,270 -10% 70,509 56,609 -20% 254,326 194,163 -24%Tri-Valley I16 I-580 76,410 66,209 -13% 91,773 80,972 -12% 317,681 263,979 -17%Tri-Valley I17 West Livermore 64,555 68,217 6% 76,064 80,526 6% 269,526 271,175 1%West I18 Pinole/County 71,451 70,401 -1% 87,346 80,876 -7% 295,305 277,009 -6%

TOTAL 1,124,299 1,098,720 -2% 1,351,067 1,305,807 -3% 4,726,571 4,334,153 -8%

Screenline AM PEAK PERIOD PM PEAK PERIOD DAILY ADT

Internal Screenlines

Table 8.5: Validation of Highway Assignment by Screenline for A.M. Peak Period, P.M. Peak Period, and Average Daily Traffic




2000 PM Count


2000 Daily Count

2000 Daily Model % Diff

Cordon Line Cordon Line Cordon Line 278,471 265,252 -5% 224,740 238,050 6% 793,027 779,480 -2%West R1 West/Central 17,124 17,906 5% 7,754 9,805 26% 29,389 31,986 9%Central R2 Lamorinda 68,161 64,839 -5% 73,389 77,267 5% 248,112 204,875 -17%Central R3 TriValley 53,276 58,628 10% 64,054 69,478 8% 222,623 222,616 0%East R4 Central/East 53,006 57,460 8% 60,600 65,616 8% 214,753 214,882 0%Central R5 S.C Central 20,048 22,211 11% 25,180 24,893 -1% 85,374 73,046 -14%East R6 S.C East 39,746 45,460 14% 51,652 54,417 5% 179,129 169,038 -6%Tri-Valley R7 S.C Tri Valley 44,877 47,500 6% 54,724 56,036 2% 191,529 189,613 -1%West R8 S.C West 51,147 57,290 12% 61,766 65,245 6% 192,193 217,951 13%Tri-Valley R9 Alameda County 73,343 69,074 -6% 67,849 64,776 -5% 264,964 238,245 -10%Tri-Valley R10 Sunol 32,584 33,556 3% 42,526 46,762 10% 147,511 164,181 11%Tri-Valley R11 Greenville 34,976 36,827 5% 41,957 42,989 2% 144,736 150,821 4%

TOTAL 766,759 776,003 1% 776,191 815,334 5% 2,713,340 2,656,734 -2%

East 137,975 146,502 6% 167,085 173,582 4% 589,491 541,905 -8%Central 799,223 793,923 -1% 948,100 936,154 -1% 3,290,497 3,031,268 -8%West 261,425 263,199 1% 307,072 292,769 -5% 1,074,344 1,016,354 -5%Tri-Valley 413,964 405,847 -2% 480,261 480,586 0% 1,692,552 1,621,880 -4%Cordon Line 278,471 265,252 -5% 224,740 238,050 6% 793,027 779,480 -2%

1,891,058 1,874,723 -1% 2,127,258 2,121,141 0% 7,439,911 6,990,887 -6%

Regional Screenlines

Total by Subarea

Screenline AM PEAK PERIOD PM PEAK PERIOD DAILY ADT

Grand Total ( Internal + Regional)

Table 8.6: Validation of Highway Assignment by Screenline for A.M. Peak Period, P.M. Peak Period, and Average Daily Traffic


8.3 Transit Assignments

Transit assignments were validated by route group and mode for all transit routes within the CCTA study area and for the BART system as a whole. These results are presented in Table 8.7. There are four route groups in the study area: regional BART (all BART lines), local BART (all BART stations within the study area), express bus, and local bus. Table 8.7 presents the individual operators in each of the route groups and presents the subtotals by route group, with a validation target of +/-20 percent. Express bus is the only route group outside the target (at 21 percent over-estimated), but this group only contains four bus routes and this over-estimation only represents 1,252 riders. Validation targets by mode are +/-10 percent and local BART stations meet this target, but all bus routes are 12 percent over-estimated. Most of this over-estimation is caused by the midday service of a single CCCTA local bus route, which can be corrected during local area studies.

8.4 Link-Based Highway Validation Tests

A series of link-based highway validation tests were set up to ensure accurate link-based traffic volumes by time period for higher level facilities (freeways and arterials). The link-based validation tests by time period are presented in Table 8.8. Of these 12 validation tests in the peak period and daily assignments, all but one (arterials with 10,000 or more vehicles within +/-30 percent) meets the established targets. Figures 8.5 and 8.6 represent the freeway and ramp validation deviation compared to the maximum desired deviation curve for the AM and PM peak hours.

For the a.m. and p.m. peak hours, the model meets most of the freeway and arterial validation tests but not the intersection level tests. This is a primarily a result of the fact that the models were validated to match higher level facilities (such as freeways and arterials) that were based on screenline counts, all collected at approximately the same time using the same methods, and the intersection validation tests are based on intersection counts, collected at different times by different agencies. Comparisons of these two datasets (in Section 2.0) reveal significant differences in the counts for the same location. As a result, the intersection validation tests are very difficult to match, since they are based on a set of counts that is inconsistent with the screenline counts.

As described in the introduction ODME (Origin-Destination Matrix Estimation) process was used to meet the remaining AM and PM peak hour arterial and intersection validation tests. Table 8.9 shows a comparison of link-based validation with and without ODME.


Table 8.7: Transit Assignment Validation Summary

Route Group Operator 1998

Count 2000

Model Difference Percent

Difference Target Regional BART Pittsburg/Bay

Point to Colma 97,728 77,145 -20,583 -21%

Regional BART Richmond to Colma

70,000 58,801 -11,199 -16%

Regional BART Fremont to Colma 47,914 41,637 -6,277 -13% Regional BART Dublin/Pleasanton

to Colma 40,611 40,103 -508 -1%

Regional BART Richmond to Fremont

29,000 25,225 -3,775 -13%

Local BART BART in CCTA Study Area

30,795 33,446 2,651 9%

Express Bus AC EXP 3,847 3,785 -62 -2% Express Bus CCCTA Exp 2,018 3,332 1,314 65% Local Bus LAVTA 1,595 1,972 377 24% Local Bus AC LOCAL 15,408 13,705 -1,703 -11% Local Bus CCCTA Local 13,398 17,329 3,931 29% Local Bus Tri - Delta 3,941 5,396 1,455 37% Local Bus WestCat 3,068 2,875 -193 -6% Subtotal by Route Group Regional BART 285,253 242,911 -42,342 -15% +/-20% Local BART 30,795 33,446 2,651 9% +/-20% Local Bus 37,410 41,277 3,867 10% +/-20% Express Bus 5,865 7,117 1,252 21% +/-20% Subtotal by Mode BART 30,795 33,446 2,651 9% +/-10% All Bus 43,275 48,394 5,119 12% +/-10% Total 74,070 81,840 7,770 10% +/-10%


Table 8.8: Link-Based Validation Tests by Time Period

Facility Type and CriteriaNumber of

CountsLinks Meeting

Target

Percentage of links within

targetValidation

TargetAM PEAK PERIODFreeway Links within 20% 75 64 85% 75%Freeway Links within 10% 75 32 43% 50%Arterials with 10,000+ vehicles within 30% 86 59 69% 75%Arterials with 10,000+ vehicles within 15% 86 32 37% 50%PM PEAK PERIODFreeway Links within 20% 75 64 85% 75%Freeway Links within 10% 75 46 61% 50%Arterials with 10,000+ vehicles within 30% 86 61 71% 75%Arterials with 10,000+ vehicles within 15% 86 37 43% 50%DAILYFreeway Links within 20% 75 70 93% 75%Freeway Links within 10% 75 52 69% 50%Arterials with 10,000+ vehicles within 30% 86 59 69% 75%Arterials with 10,000+ vehicles within 15% 86 35 41% 50%AM PEAK HOURFreeway Links within 20% 75 71 95% 75%Freeway Links within 10% 75 56 75% 50%Arterials with 10,000+ ADT within 30% 86 58 67% 75%Arterials with 10,000+ ADT within 15% 86 32 37% 50%Intersections with 1000+ Vehicles per hr within 20% 609 527 87% 50%Intersections with 500-1000 Vehicles per hr within 2 197 162 82% 30%All Intersections within 30% of Counts 893 796 89% 75%All Intersections within 15% of Counts 893 675 76% 50%80% of Freeway Counts below the Curve 61 54 89% 80%80% of Ramp Counts below the Curve 450 352 78% 80%Freeways and ramps 511 406 79% 80%PM PEAK HOURFreeway Links within 20% 75 61 81% 75%Freeway Links within 10% 75 51 68% 50%Arterials with 10,000+ vehicles within 30% 86 64 74% 75%Arterials with 10,000+ vehicles within 15% 86 38 44% 50%Intersections with 1000+ Vehicles per hr within 20% 663 567 86% 50%Intersections with 500-1000 Vehicles per hr within 2 164 116 71% 30%All Intersections within 30% of Counts 907 478 53% 75%All Intersections within 15% of Counts 907 263 29% 50%80% of Freeway Counts below the Curve 61 50 82% 80%80% of Ramp Counts below the Curve 450 347 77% 80%Freeways and ramps 511 397 78% 80%


Table 8.9: Link-Based Validation Tests by Time Period With and Without ODME

Facility Type and Criteria Number of

Counts

Links Meeting Target

% of links within

target with ODME

% of links within target

(validation) Validation

Target AM PEAK HOUR Freeway Links within 20% 75 72 96% 95% 75%Freeway Links within 10% 75 70 93% 75% 50%Arterials with 10,000+ ADT within 30% 86 81 94% 67% 75%Arterials with 10,000+ ADT within 15% 86 67 78% 37% 50%Intersections with 1000+ Vehicles per hr within 20% 609 514 84% 87% 50%Intersections with 500-1000 Vehicles per hr within 20% 197 157 80% 82% 30%All Intersections within 30% of Counts 893 807 90% 89% 75%All Intersections within 15% of Counts 893 639 72% 76% 50%80% of Freeway Counts below the Curve 61 48 79% 89% 80%80% of Ramp Counts below the Curve 450 422 94% 78% 80%Freeways and ramps 511 470 92% 79% 80%PM PEAK HOUR Freeway Links within 20% 75 73 97% 81% 75%Freeway Links within 10% 75 67 89% 68% 50%Arterials with 10,000+ vehicles within 30% 86 84 98% 74% 75%Arterials with 10,000+ vehicles within 15% 86 68 79% 44% 50%Intersections with 1000+ Vehicles per hr within 20% 663 551 83% 86% 50%Intersections with 500-1000 Vehicles per hr within 20% 164 125 76% 71% 30%All Intersections within 30% of Counts 907 793 87% 53% 75%All Intersections within 15% of Counts 907 617 68% 29% 50%80% of Freeway Counts below the Curve 61 53 87% 82% 80%80% of Ramp Counts below the Curve 450 412 92% 77% 80%Freeways and ramps 511 465 91% 78% 80%


Figure 8.5: Freeway Validation for AM and PM Peak Hour

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0 2000 4000 6000 8000 10000 12000

Peak Hour Volume

Perc

enta

ge

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n fr

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ount

sLegend

AM Freeway Volume Deviation

PM Freeway Volume Deviation

Maximum Deviation Curve

Figure 8.6: Freeway Ramp Validation for AM and PM Peak Hour

0%

10%

20%

30%

40%

50%

60%

70%

80%

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100%

0 500 1000 1500 2000 2500 3000

Peak Hour Volume

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Legend

AM Freeway Ramp Volume Deviation

PM Freeway Ramp Volume Deviation

Maximum Deviation Curve


9.0 Forecasts

9.1 Introduction

A key function of the travel demand forecasting model is to generate long-range traffic forecasts that can be used in a variety of applications. The decennial model update uses ABAG Projections 2000 and 2002 land use information to generate new traffic forecasts for near-term (10-year) and long-range (25-year) planning horizons. The model is capable of forecasting still further into the future, provided that an appropriate land use data set is available.1 This section documents the approach, methodology, and results of the future year forecasting effort.

9.2 Future Scenarios

The CCTA model was run for the year 2000 calibration scenario, and the 2025 RTP Track 1 scenario as part of the July 2005 revalidation effort. In an earlier phase, five future year scenarios (see Table 9.1) were analyzed. Documentation of the other scenarios can be found in the July 2003 validation report.

Table 9.1: Future Scenarios

Scenario Socioeconomic

Data (Year) Network Improvements

1. Existing 2000 Existing conditions as of 2000/2001, including recently completed major highway projects

2. TIP 2010 The 2002 RTIP/STIP projects

3. CMP* 2010 Authority’s 2003 CMP/CIP

4. RTP #1 2020 2020 MTC 2001 RTP Update Track 1 Improvements.

5. RTP #1 2025 2025 Same as Scenario 4

6. RTP #2 2025 MTC’s Blueprint; the RTP Track 2, plus selected projects from the Authority’s CTPL

* Note that the 2003 CMP scenario has been postponed pending completion of an updated 2003 CMP/CIP project list.

9.3 Land Use Data

The future year socioeconomic data was generated based upon forecasts developed by ABAG.

1 ABAG Projections 2003 is expected to provide a 2030 horizon year.


Almost all of the forecast socioeconomic input values for the model forecasts were contained in the LUIS for the CCTA model area. For the MTC region, the forecasted inputs were obtained from the MTC web site.

Forecasts of population, household, income, and employment data by zone were developed by EPS for inside Contra Costa and Tri-Valley. Forecasts of this data for the rest of the MTC region were taken directly from MTC forecast files for the region.

Residential, commercial, industrial and agricultural acres in a zone were not present in the LUIS database. They were calculated based on their percentage of total acres in the original MTC zones.

Future-year school enrollment for existing school facilities is not forecasted by MTC or ABAG, and is not readily available from the school districts. In general, enrollment is predicted to remain flat for existing facilities. Increased enrollment is reflected primarily in the construction of new facilities, some of which have been identified for this forecasting effort. Therefore, with the exception of new facilities that were identified, future year enrollment remained at the year 2000 level for existing schools. The model can be adjusted in the future to evaluate the impacts of higher school enrollment should that data become available.

One area where future school locations were identified was in the Dougherty Valley. Enrollment for each new school was estimated using the table below (Table 9.2). Appendix C shows a list of existing schools in the Model.

Table 9.2: Future Schools in Dougherty Valley

New School TAZ Enrollment Year

Dougherty Valley High School, Dougherty Valley 40196 2,000 2007

Hidden Hills Elementary School, Dougherty Valley 40193 700 2010

Windemere Ranch Middle School, Dougherty Valley 40191 1,150 2005

Cypress Lakes Elementary School, Brentwood Union 30299 500 2015

Delta View Elementary School, Pittsburg Unified 30601 726 2003

Vista Del Mar School Middle School, Pittsburg Unified 30015 800 2010

Total acreage for each zone was assumed to be unchanged in future years. It would only change if the zone boundaries were changed.

Auto zonal level of service variables contain information on the parking costs and terminal times for each zone in the CCTA model. This information was obtained from the MTC forecast files for both the base and the forecast years.


9.4 Special Generator Data

The CCTA model special generators include hospitals, military bases, shopping malls, retirement homes and regional parks. They are listed in Table 9.3. The special generator trips and employees were calculated based on the information given in Table 9.4. Note that all the special generators in the base year remained at the same levels for all of the forecast years (no increase in employment or intensity). The Deer Valley Medical Center is the only new special generator included in the forecast years.

Table 9.3: Special Generators

Name

Special Generator

Trips

Special Generator Employees

Remaining TAZ

Employees

Type of TAZ

Employees Year

Added 1 Contra Costa Regional Medical

Center 3,954 373 738 Service 2000

2 John Muir Medical Center 5,518 731 702 Service 2000 3 Kaiser Permanente Walnut Creek

Medical Center 4,602 521 445 Service 2000

5 Veterans Affairs Northern California Health Care

3,745 326 185 Service 2000

6 Doctors Medical Center 4,641 530 550 Service 2000 7 Mt. Diablo Medical Center 4,901 590 710 Service 2000 8 Sutter Delta Medical Center 3,416 250 39 Service 2000 9 Valley Care Health System 3,735 323 1,692 Service 2000 10 Broadway Plaza/Downtown

Walnut Creek 31,725 1,076 546 Retail 2000

11 Sun Valley Mall 51,137 2,261 2,212 Retail 2000 12 County East Mall 27,217 848 -848 Retail 2000 13 Hilltop Mall 56,896 2,669 -1,709 Retail 2000 14 Stoneridge Mall 47,526 2,017 -1,837 Retail 2000 15 Parks Reserve Forces Training

Area 5,395 741 -589 Service 2000

16 Rossmoor Retirement Home 18,576 8,000 0 Residents 2000 17 Deer Valley Medical Center 4,195 811 0 Service 2010

Note: All the special generators in the base year remain the same in all the forecast years. The only new special generator in the forecast years is the Deer Valley Medical Center.

Table 9.4: Assumptions for Special Generator Categories

Trips Per

Bed Employees Per 1,000 SF

Trips Per Employee

ITE Code 610 for Hospitals

Average Size

Hospitals 11.77 16.78 5.17 Trips = 7.381*Beds + 1,718.324 392 beds

Trips Per

TSF Employees

Per TSF1 Trips Per Employee

ITE Code 820 for Shopping Centers

Average Size


Shopping Centers

42.92 1.57 27.34 Ln(Trips) = 0.643 Ln(x) +5.866 331 TSF

Trips Per Acre2

Employees Per Acre3

Trips Per Employee

ITE Code 417 for Regional Parks

Average Size

Regional Parks

0.0808 0.001013 79.77 79.77 person trips per employee 310 acres

Trips Per Employee

ITE Code 510 for Military Bases

Average Size

Military Bases

7.28 Ln(Trips) = 0.571* Ln(x) +4.520 7,747

Trips Per Unit

ITE Code 252 for Congregate Care Facility

Average Size

Retirement Homes

2.15 2.15 trips per dwelling unit 183

Trips Per Employee

ITE Code 760 for Research and Development Center

Average Size

Unique Industry

2.77 Ln(Trips) = 0.800* Ln(x) +2.418 1,022

Source: Institute of Transportation Engineers, Trip Generation User’s Guide, 6th Edition, Publication Number IR-016D, 1997.

1 ITE did not provide an estimate of employees per TSF, so this was derived from a study in California, which can be found at http://www.ceres.ca.gov/ceqa/cases/1991/shapell_112291.html.

2 ITE trips per acre (4.57) results in too many trips. We calculated trips to Mt. Diablo based on total employees in the TAZ and divided it by the acres to get a more realistic ‘trips per acre’ value.

3 Employees per acre was derived by using the calculated ‘trips per acre’ value and ITE code 417 for regional park.

9.5 Supplementary Data Files

The CCTA requires additional information beyond that contained in the Land Use Information System (LUIS) in order to perform forecasts. Most of this supplementary data was obtained from MTC files.

External trip forecasts (trips coming from or going to points outside of the MTC nine-County region) were taken directly from the Metropolitan Transportation Commission for 2000 and 2025. The 2025 external trips were used for all of the forecast years (2010 and on).

Full documentation of the external trip assumptions for each forecast year is provided in Appendix K of the original 2003 Model Technical Appendices. The table summarizes the assumed vehicle trip levels for each forecast year, by county of origin and destination.

The model requires calibration files (dhbwg251.dat, dbhwa251.dat ) used in trip generation and ‘delta’ files (HBSMC.DLT, HBSRMC.DLT and NHBMC.DLT) used in Model Split. These files were obtained from MTC for 2025 and used for all forecast years (2010 to 2025).


The intrazonal daily peak and off-peak trip input matrices were obtained from MTC for the year 2025. These files were used for all forecast years (2010 to 2025).

All of the MTC files were converted from the MTC 1099 zone system to the Countywide 2,600-zone system for the year 2025 using files from the MTC 2025 model.

The transit stop fare and link fare files for 2000 and 2025 were obtained from MTC. The MTC 2000 transit network is used for both the CCTA 2000 and 2010 future scenarios; consequently the year 2000 MTC fares are used for both those years in the CCTA model. Similarly, since the MTC 2025 transit route system is used for the CCTA forecast years 2020 and 2025, the corresponding transit files (e.g., stopfare, linkfare, modes, modefactors and farematrix) are used for the 2020 and 2025 CCTA model forecasts to avoid errors due to differences in route systems between years.

9.6 Highway Network Data

The year 2000 highway network was created as part of the model calibration and validation process. The future year network builds upon the 2000 network using a “master network” approach. New links, link deletions, and link edits are specified for each future scenario using one large data base that includes all link data for all scenarios.

To generate the future network scenarios, two sources were consulted (see Table 9.5). Inside Contra Costa and the Tri-Valley, the future network improvements for each scenario were created from the project list provided by CCTA staff (see Table 9.5 at end of document). Outside of Contra Costa and the Tri-Valley, the appropriate future year highway network from MTC’ 2001 RTP Update was used.

Table 9.5: Sources of Each Network Scenario

Scenario Year Description Inside

Study Area Outside

Study Area

1. Existing 2000 Existing conditions as of 2000/2001, including recently completed major highway projects (MTC 2000 outside study area)

CCTA 2000 MTC 2000

2. TIP 2010 Network Scenario 1 + Year 2000 RTIP/STIP projects (MTC 2010 outside study area)

CCTA 2000 + Add from Table

MTC 2010 TIP network for highway, 2000 network for transit

3. CMP 2010 Network Scenario 2 + Authority’s 2001 CMP CIP (MTC 2010 outside study area)

CCTA TIP + 2003 CMP CIP Update*)

MTC 2010 TIP network for highway, 2000 for transit

4. RTP #1 2020

2020 Network Scenario 2 + Track 1 RTP consistent with the 2001 RTP Update (MTC 2025 RTP Track 1 outside study area).

CCTA Track 1 as specified in CCTA database

MTC RTP Track 1 network


5. RTP #1 2025

2025 Same as Network Scenario 4 Scenario#4 Scenario #4

6. RTP #2 2025 Network Scenario 4 + selected projects from the CTPL based upon MTC’s Blueprint (MTC 2025 Blueprint outside study area)

CCTA CTPL MTC RTP Blueprint Network for highway, Track 1 for transit.

*To be completed. Use 2025 CTPL in the interim.

9.7 Transit Network Data

The future year transit network modifications to the master transit network were created in much the same manner as for the future highway networks. Two sources were used as detailed in Table 9.5

Future routes information was provided by transit agencies as part of the review. The future year transit network is financially constrained, and therefore only contains improvements as specified by CCTA staff (See Appendix I of the 2003 Complete Model Documentation and Appendices) in addition to the base year transit network. Major rail improvements, such as e-BART to Antioch, and BART to San Jose, were included in the future year network, while very few changes were made to future bus transit routes. The model can be modified to reflect increased bus service, including express bus, should that option become viable.

9.8 Future Intersection Geometry

The model is capable of generating future year intersection level of service based upon a data set of future-year intersection geometry. This information is subject to further analysis and review at the subarea and local level. Consequently, intersection LOS reports were not generated as part of this initial effort.

9.9 Forecast Results

The forecasted county-to-county vehicle trip tables for 2000 and 2025 are shown in Table 9.6 through 9.10. The 2010 and 2020 trip table summaries were provided in the Model Documentation published in 2003. The forecasted a.m. peak hour, p.m. peak hour, a.m. peak-period, p.m. peak-period, and daily traffic volumes (drive alone plus shared ride) screenline summaries are shown in Tables 9.11 through 9.15. Detailed screenline tables are included in Appendix D.

Analysis of Trip Tables 1. Total peak-hour vehicle trips in the Bay Area are projected to increase by about 27

percent by 2025 in the a.m and 25 percent in the p.m.


2. The peak-hour traffic to/from and within Contra Costa County is projected to increase by 36 percent by 2025 in the a.m and 37 percent in the p.m.


Table 9.6: AM Peak-Hour County-to-County Trip Table Forecasts San

Francisco San Mateo Santa Clara AlamedaContra Costa Solano Napa Sonoma Marin Total

2000San Francisco 49,577 12,967 2,953 4,927 549 714.08 205.68 336.44 1,750 73,979San Mateo 20,219 76,965 16,442 4,643 291 104.83 25.45 73.95 424.57 119,188Santa Clara 1,996 10,759 261,183 7,854 537 88.16 22.68 53.86 119.1 282,612Alameda 7,464 7,499 15,439 142,403 6,988 1782.64 428.35 291.53 747.23 183,043Contra Costa 5,640 1,753 1,074 19,636 112,357 4,306 563.34 322.26 1,149 146,801Solano 1,693 513.49 316.78 1,250 3,897 30,126 1,378 305.67 471.44 39,951Napa 153.57 85.62 67.73 306.36 470.37 1,191 13,514 1,101 150.76 17,041Sonoma 2,177 527.75 174.52 306.85 207.59 399.99 1,358 53,460 4,400 63,012Marin 7,039 917.46 244.15 679.59 461.76 248.72 106.09 1,424 27,383 38,504Total 95,958 111,987 297,894 182,006 125,758 38,962 17,601 57,369 36,595 964,1312025 Track 1San Francisco 44,690 14,254 2,990 5,272 589 1031.17 340.38 518.92 2,082 71,768San Mateo 21,907 91,635 19,481 5,689 343 156.52 39.42 114.63 604.48 139,969Santa Clara 2,095 13,501 323,586 10,394 642 134.35 37.62 89.63 183.93 350,664Alameda 7,860 9,193 17,791 178,941 8,683 2,766 834.09 693.28 1,198 227,960Contra Costa 5,598 2,241 1,554 27,987 152,517 6,349 1,136 795 1,889 200,065Solano 2,370 806.28 486.01 1,877 5,841 52,322 3,716 755.32 892.02 69,066Napa 213.24 104.46 126.6 382.69 559.89 1,866 19,578 2,159 231.09 25,221Sonoma 1,593 424.29 223.78 300.22 193.02 466.36 1,740 81,176 4,763 90,880Marin 7,067 1039.28 276.93 738.49 510.89 354.59 184.93 2,513 33,640 46,325Total 93,395 133,199 366,515 231,581 169,878 65,446 27,607 88,815 45,482 1,221,919Growth 27%


Table 9.7: PM Peak-Hour County-to-County Trip Table Forecasts San


2000San Francisco 73,446 24,597 2,606 9,122 3,294 1,925 249.03 2,029 7,021 124,288San Mateo 18,716 113,263 15,087 7,983 1,025 473.78 90.52 474.2 944.53 158,056Santa Clara 3,209 19,115 359,984 16,694 2,064 303.97 75.59 196.06 260.29 401,902Alameda 6,284 5,728 10,777 193,990 14,898 1,958 485.46 84.19 151.4 234,355Contra Costa 1,859 726 1,559 12,002 156,775 1,839 223.53 56.6 107 175,148Solano 1,313 148.37 115.04 1,632 4,391 44,872 1,195 450.26 424.1 54,540Napa 198.71 31.8 25.62 376.49 530.1 1,291 19,664 1,690 117.91 23,925Sonoma 552 103.48 56.13 138.96 143.02 339.67 1,441 74,171 1,649 78,594Marin 2,786 533 152.72 336.87 435.26 424.45 165.39 3,938 41,088 49,859Total 108,363 164,246 390,362 242,276 183,556 53,426 23,588 83,089 51,763 1,300,6682025 Track 1San Francisco 62,300 26,830 2,820 9,947 3,359 2,711 344.42 1,556 7,020 116,888San Mateo 20,783 133,024 18,303 9,754 1,294 730.76 114.24 397 1,075 185,474Santa Clara 3,334 22,472 444,854 19,668 2,880 464.85 136.89 254.32 297.31 494,361Alameda 6,772 6,988 13,731 238,146 21,205 2,876 624.84 89.1 168 290,600Contra Costa 1,951 839 1,801 14,567 215,715 2,577 274 58 122 237,904Solano 1,891 219.31 170.24 2,399 6,066 74,407 1,951 558.81 610.54 88,272Napa 315.31 49.72 44.13 656.62 954 3,290 28,469 2,264 201.84 36,244Sonoma 669 136.34 94.48 270.91 300 719.18 2,482 112,578 2,610 119,860Marin 2,971 716.35 217.83 498.04 690 760 254.98 4,379 50,005 60,492Total 100,985 191,275 482,036 295,906 252,462 88,536 34,650 122,135 62,109 1,630,094Growth 25%


Table 9.8: AM Peak-Period County-to-County Trip Table Forecasts San


2000San Francisco 154,927 40,521 9,229 15,396 3,362 1,345 390.79 1051.37 5,468 231,691San Mateo 63,184 240,515 51,380 14,510 1,754 327.59 79.52 231.09 1,327 373,307Santa Clara 6,237 33,623 816,195 24,994 2,043 275.49 70.89 168.3 372.2 883,979Alameda 23,326 23,434 49,091 440,834 26,421 3,310 800.12 706 1,802 569,726Contra Costa 17,625 5,478 4,145 59,794 337,522 11,544 1,550 777 2,765 441,201Solano 6,760 1,605 990 5,965 11,288 94,144 4,305 955 1,229 127,242Napa 722.76 267.56 211.65 1,457 1,772 3,723 42,232 3,440 471.11 54,298Sonoma 6,803 1,649 545.36 1,271 861 1,250 4,244 167,061 13,751 197,436Marin 21,997 2,867 762.97 2,823 1,920 777.26 331.52 4,452 85,572 121,503Total 301,582 349,959 932,552 567,044 386,943 116,697 54,004 178,842 112,759 3,000,3812025 Track 1San Francisco 139,658 44,544 9,345 16,475 3,595 1,947 644.76 1,622 6,505 224,335San Mateo 68,459 286,360 60,877 17,778 2,059 489.13 123.18 358.22 1,889 438,393Santa Clara 6,548 42,192 1,011,205 33,129 2,437 419.85 117.56 280.1 574.79 1,096,903Alameda 24,563 28,729 56,768 552,629 32,365 5,141 1,553 1,674 2,886 706,309Contra Costa 17,493 7,003 6,004 84,630 463,595 16,701 3,020 1,916 4,545 604,906Solano 9,461 2,520 1,519 8,949 17,095 163,507 11,612 2,360 2,326 219,348Napa 1,002 326.43 395.61 1,815 2,125 5,831 61,182 6,747 722.16 80,147Sonoma 4,979 1,326 699 1,241 798 1,457 5,439 253,676 14,884 284,498Marin 22,085 3,248 865.4 3,067 2,124 1,108 577.91 7,853 105,124 146,052Total 294,247 416,248 1,147,678 719,712 526,193 196,602 84,270 276,487 139,455 3,800,891Growth 27%


Table 9.9: PM Peak-Period County-to-County Trip Table Forecasts San


2000San Francisco 236,922 79,346 8,406 29,426 10,626 8,835 1,134 6,544 22,648 403,886San Mateo 60,374 365,363 48,667 25,752 3,307 1,528 292.01 1,530 3,047 509,860Santa Clara 10,352 61,663 1,161,238 53,852 6,659 981 243.84 632.46 839.66 1,296,459Alameda 20,270 18,477 34,764 629,861 47,170 8,985 2,223 851 1,563 764,163Contra Costa 8,540 3,321 5,030 46,592 499,615 18,183 2,751 579 1,118 585,729Solano 2,365 478.6 371.09 4,069 13,075 144,749 3,854 1,452 980.19 171,393Napa 500.04 102.58 82.66 941 1,690 4,164 63,431 5,450 380.36 76,742Sonoma 1,780 333.8 181.07 1086.58 1,135 1,096 4,647 239,261 5,320 254,841Marin 8,987 1,719 492.64 2,677 3,491 1,369 533.51 12,704 132,540 164,514Total 350,089 530,804 1,259,232 794,256 586,768 189,889 79,109 269,004 168,436 4,227,5872025 Track 1San Francisco 200,966 86,549 9,097 32,086 10,837 12,437 1,567 5,020 22,647 381,205San Mateo 67,040 429,110 59,042 31,464 4,173 2,357 368.53 1,281 3,466 598,302Santa Clara 10,755 72,489 1,435,013 63,444 9,290 1,500 441.59 820.39 959.06 1,594,711Alameda 21,846 22,543 44,294 773,987 67,059 13,190 2,858 878 1,732 948,385Contra Costa 8,953 3,830 5,811 55,959 691,135 25,602 3,371 578 1,266 796,506Solano 3,411 707.46 549.16 5,988 17,880 240,022 6,292 1,803 1,412 278,064Napa 793 160.4 142.37 1,640 2,986 10,613 91,834 7,303 651.09 116,124Sonoma 2,159 439.81 304.79 2,136 2,393 2,320 8,005 363,156 8,420 389,333Marin 9,584 2,311 702.67 3,970 5,544 2,452 823 14,125 161,305 200,816Total 325,507 618,140 1,554,956 970,673 811,297 310,493 115,560 394,964 201,857 5,303,446Growth 25%


Table 9.10: Daily County-to-County Trip Table Forecasts San


2000San Francisco 746,075 217,142 30,059 81,923 52,176 16,595 2,634 12,587 48,611 1,207,801San Mateo 215,525 1,141,172 173,761 69,207 16,865 3,150 683.77 2889.87 7,474 1,630,728Santa Clara 28,648 170,301 3,598,981 137,533 19,221 2,158 526.11 1403.24 2108.43 3,960,878Alameda 73,768 68,158 140,539 1,961,814 178,397 20,570 5,035 4,823 8,677 2,461,782Contra Costa 49,990 16,409 18,982 175,920 1,518,510 46,547 6,683 3,682 8,334 1,845,056Solano 17,454 3110.1 2093.72 19,565 47,719 448,089 12,344 4,208 3,631 558,215Napa 2407.55 586.64 439.15 4,624 6,682 11,904 196,215 16,048 1373.99 240,280Sonoma 12,230 2765.68 1057.15 3,925 3,209 3,823 15,211 738,760 27,684 808,666Marin 47,700 7,255 2040.28 8,936 8,127 3,682 1479.01 27,445 412,828 519,491Total 1,193,798 1,626,899 3,967,951 2,463,447 1,850,906 556,518 240,811 811,845 520,721 13,232,8972025 Track 1San Francisco 629,909 239,341 32,310 90,423 55,480 23,529 3,754 10,843 49,585 1,135,173San Mateo 238,670 1,344,059 207,281 84,721 20,778 4,770 916.14 2,711 8,988 1,912,893Santa Clara 30,284 202,534 4,461,208 168,645 25,410 3,205 847.23 1753.3 2,559 4,896,447Alameda 79,423 83,604 172,053 2,422,611 228,812 30,091 7,163 6,087 10,799 3,040,642Contra Costa 51,408 20,024 24,974 226,158 2,118,984 64,788 9,580 5,132 11,300 2,532,348Solano 24,648 4,767 3,126 28,773 67,223 743,537 25,998 6,826 5,911 910,808Napa 3,541 806.04 756.54 6,651 9,885 25,022 286,553 24,343 2227.65 359,785Sonoma 10,497 2,565 1429.08 5,104 4,629 6,211 23,065 1,126,197 34,624 1,214,321Marin 48,515 8,861 2550.07 11,058 11,092 6,070 2,375 34,760 504,333 629,614Total 1,116,893 1,906,560 4,905,687 3,044,143 2,542,293 907,224 360,251 1,218,653 630,328 16,632,032Growth 26%


Table 9.11: AM and PM Peak Hour Screenline Results Growth % Growth %

2025 2025 2025 2025Track 1 Track 1 Track 1 Track 1

I1 SR 4 26,112 35,604 36% 27,876 36,888 32%I2 Concord 30,312 38,752 28% 31,692 40,327 27%I3 Orinda 17,171 24,142 41% 17,229 23,134 34%I4 I-680 36,460 45,038 24% 39,581 50,279 27%I5 Treat 36,244 45,011 24% 38,556 47,199 22%I6 Ygnacio 29,641 35,683 20% 31,594 38,614 22%I7 SR24 4,873 6,265 29% 5,709 7,275 27%I8 Walnut Creek 30,318 38,544 27% 33,122 43,588 32%I9 San Ramon 14,907 17,595 18% 16,317 18,342 12%I10 Danville(NB/SB) 7,118 10,677 50% 7,006 10,218 46%I11 Danville (EB/WB) 6,955 13,217 90% 8,039 14,413 79%I12 Antioch/Brentwood 6,555 9,322 42% 7,877 11,811 50%I13 Oakley/Brentwood 6,951 16,520 138% 7,858 19,352 146%I14 Richmond 21,785 27,764 27% 22,378 28,644 28%I15 Rich/Sanpb 14,890 20,449 37% 15,672 21,749 39%I16 I-580 22,394 40,068 79% 24,304 43,162 78%I17 West Livermore 20,713 21,118 2% 22,956 23,742 3%I18 Pinole/County 22,568 30,683 36% 23,067 31,863 38%Total 355,967 476,452 34% 355,967 476,452 34%Cordon LineCordon Line 82,390 114,047 38% 88,141 119,163 35%R1 West/Central 6,166 8,743 42% 5,969 8,841 48%R2 Lamorinda 19,652 25,204 28% 21,372 27,384 28%R3 TriValley 19,670 24,683 25% 19,386 20,438 5%R4 Central/East 18,483 26,703 44% 18,579 26,178 41%R5 S.C Central 7,171 8,123 13% 8,136 9,510 17%R6 S.C East 14,246 16,895 19% 15,846 18,425 16%R7 S.C Tri Valley 14,671 16,887 15% 15,535 17,166 10%R8 S.C West 18,005 24,284 35% 17,967 24,817 38%R9 Alameda County 21,617 25,833 20% 18,553 23,905 29%R10 Sunol 10,243 17,173 68% 12,917 18,252 41%R11 Greenville 10,809 16,744 55% 11,959 18,845 58%Total 243,123 325,319 34% 243,123 325,319 34%

599,090 801,771 34% 599,090 801,771 34%

PM Peak Hour

20002000

Grand Total

Screenline N Name

AM Peak Hour


Growth % Growth % Growth %2025 2025 2025 2025 2025 2025

Track 1 Track 1 Track 1 Track 1 Track 1 Track 1I1 SR 4 83,924 109,165 30% 99,881 126,949 27% 325,577 405,248 24%I2 Concord 93,886 116,653 24% 108,578 134,107 24% 352,102 431,547 23%I3 Orinda 56,579 78,175 38% 60,682 80,859 33% 219,386 287,827 31%I4 I-680 113,652 135,155 19% 136,832 165,973 21% 449,806 538,019 20%I5 Treat 102,239 129,560 27% 123,652 152,858 24% 401,141 497,741 24%I6 Ygnacio 87,765 107,292 22% 102,123 126,173 24% 347,562 435,862 25%I7 SR24 17,300 22,126 28% 20,589 25,748 25% 72,632 90,846 25%I8 Walnut Creek 92,900 120,525 30% 112,179 149,095 33% 362,525 476,945 32%I9 San Ramon 44,409 56,355 27% 55,656 64,662 16% 181,608 218,592 20%I10 Danville(NB/SB) 19,542 34,157 75% 25,274 37,827 50% 77,117 117,032 52%I11 Danville (EB/WB) 20,513 39,454 92% 27,595 50,455 83% 85,141 153,438 80%I12 Antioch/Brentwood 21,750 27,828 28% 27,021 36,676 36% 78,875 106,591 35%I13 Oakley/Brentwood 21,832 53,336 144% 26,528 65,082 145% 79,110 198,264 151%I14 Richmond 70,332 88,736 26% 80,234 99,329 24% 295,245 375,884 27%I15 Rich/Sanpb 47,270 64,391 36% 56,609 76,531 35% 194,163 248,071 28%I16 I-580 66,209 122,643 85% 80,972 144,495 78% 263,979 484,844 84%I17 West Livermore 68,217 75,023 10% 80,526 86,940 8% 271,175 316,688 17%I18 Pinole/County 70,401 95,213 35% 80,876 109,069 35% 277,009 380,831 37%Total 1,098,720 1,475,787 34% 1,305,807 1,732,828 33% 4,334,153 5,764,270 33%Cordon LineCordon Line 265,252 365,517 38% 238,050 317,332 33% 779,480 1,059,640 36%R1 West/Central 17,906 25,910 45% 9,805 16,381 67% 31,986 45,527 42%R2 Lamorinda 41,285 50,835 23% 77,267 97,153 26% 118,552 147,988 25%R3 TriValley 58,628 79,940 36% 69,478 77,149 11% 222,616 261,757 18%R4 Central/East 57,460 81,871 42% 65,616 90,994 39% 214,882 292,833 36%R5 S.C Central 22,211 26,959 21% 24,893 32,124 29% 73,046 90,243 24%R6 S.C East 45,460 52,939 16% 54,417 62,058 14% 169,038 186,606 10%R7 S.C Tri Valley 47,500 55,778 17% 56,036 63,124 13% 189,613 216,622 14%R8 S.C West 57,290 77,905 36% 65,245 84,508 30% 217,951 303,636 39%R9 Alameda County 69,074 84,735 23% 64,776 83,063 28% 238,245 328,554 38%R10 Sunol 33,556 56,718 69% 46,762 66,848 43% 164,181 257,735 57%R11 Greenville 36,827 57,284 56% 42,989 66,942 56% 150,821 278,314 85%Total 752,449 1,016,391 35% 815,334 1,057,676 30% 2,570,411 3,469,455 35%

1,851,169 2,492,178 35% 2,121,141 2,790,504 32% 6,904,564 9,233,725 34%

2000

Grand Total

Screenline N Name

AM 4-HR PEAK PM 4-HR PEAK

2000

DAILY VEH TRIPS

2000

Table 9.102: PeakPeriod and Daily Screenline Results


Analysis of Screenlines 1. a.m. peak hour traffic on Contra Costa roads is projected to increase 34 percent by 2025

at regional and internal screenlines. The projected growth in a.m. peak period traffic at the screenlines is one or two percentage points lower for each of the forecast years.

2. Peak hour screenline traffic forecasts tend to be more volatile (showing larger and smaller increases for individual screenlines) than the peak period forecasts.

3. West Central (R1), traffic is projected to increase between 2000 and 2025 by 42 to 48 percent during the a.m. and p.m. peak hour, 45 to 67 percent during the a.m. and p.m. peak period and 42 percent on a daily basis.

4. Altamont Pass (R11), traffic is projected to increase between 2000 and 2025 by 55 to 58 percent during the a.m. peak hour, 55 to 58 percent during the a.m. peak period, 85 percent on a daily basis.

5. The Oakley-Brentwood screenline (I-13) is a north-south screenline running east of SR 160, crossing the Delta Expressway, and then running west of the Expressway. The a.m. peak hour traffic on this screenline increases dramatically – by 138 percent between 2000 and 2025. This is the result of the construction of several new east-west streets between 2000 and 2025 including the Route 4 Bypass.

6. The Antioch-Brentwood screenline (I-12) also shows high growth – 42 to 50 percent – between 2000 and 2025. However, this screenline does not show as much growth as I-13 in East County. The reason for this is that I-12 includes more smaller north-south local streets while I-13 includes streets with larger traffic volumes.


Appendix A

(CCTA Model Acceptance Resolutions)


Appendix B

(Resolution 05-03-G)

CCTA Countywide Model Documentation - Appendix C List of Schools in the CCTA Countywide Model

School Name School District School Type

Grade, Middle School Enrollment

High School Enrollment CCTA_TAZ

BENTLEY ACALANES UNION HIGH 9-12 0 129 20291CONTRA COSTA ALTERNATIVE SCHOO ACALANES UNION HIGH 8-12 0 37 20322NORTH BAY ORINDA ACALANES UNION HIGH 7-12 18 75 20314CHILD DAY,THE LAFAYETTE ELEMENTARY K 8 0 20290ST. PERPETUA LAFAYETTE ELEMENTARY K-8 237 0 20286WHITE PONY AND MEHER ELEM. LAFAYETTE ELEMENTARY K-5 198 0 20275NEW VISTAS CHRISTIAN MARTINEZ UNIFIED K-12 55 50 20033ST. CATHERINE OF SIENA MARTINEZ UNIFIED K-8 264 0 20019SAKLAN VALLEY MORAGA ELEMENTARY K-8 88 0 20311ADONAI ACADEMY MT. DIABLO UNIFIED K-12 18 3 20157BEREAN CHRISTIAN HIGH MT. DIABLO UNIFIED 9-12 0 400 20237BIANCHI ELEM.-COWELL ROAD CAMP MT. DIABLO UNIFIED K-6 91 0 20146CARONDELET HIGH MT. DIABLO UNIFIED 9-12 0 825 20177CHRIST THE KING ELEM. MT. DIABLO UNIFIED K-8 323 0 20087CONCORD CHRISTIAN MT. DIABLO UNIFIED K-8 121 0 20102CONCORDIA, THE MT. DIABLO UNIFIED K-7 61 0 20101CONTRA COSTA CHRISTIAN SCHOOLS MT. DIABLO UNIFIED K-12 285 101 20006DE LA SALLE HIGH SCHOOL OF CON MT. DIABLO UNIFIED 9-12 0 1019 20177DIABLO VALLEY MT. DIABLO UNIFIED K-12 13 5 20160FIRST LUTHERAN MT. DIABLO UNIFIED K-8 117 0 20169FOREST HILLS MT. DIABLO UNIFIED K-1 12 0 20003KING'S VALLEY CHRISTIAN MT. DIABLO UNIFIED K-8 513 0 20334NORTH CREEK ACADEMY MT. DIABLO UNIFIED K-5 156 0 20264PLEASANT HILL CHRISTIAN MT. DIABLO UNIFIED K-12 150 70 20092QUEEN OF ALL SAINTS ELEM. MT. DIABLO UNIFIED K-8 291 0 20108ROYAL OAKS ACADEMY MT. DIABLO UNIFIED K-12 65 15 20165SEVEN HILLS ELEM. MT. DIABLO UNIFIED K-8 325 0 20214SPECTRUM CTR. FOR EDUC. AND BE MT. DIABLO UNIFIED K-12 46 0 20150ST. AGNES ELEM. MT. DIABLO UNIFIED K-8 345 0 20132ST. FRANCIS OF ASSISI MT. DIABLO UNIFIED K-8 327 0 20166TABERNACLE CHRISTIAN SCHOOL MT. DIABLO UNIFIED K-8 615 0 20134WOOD ROSE ACADEMY MT. DIABLO UNIFIED K-8 63 0 20103CONTRA COSTA JEWISH COMMUNITY WALNUT CREEK ELEMENTARY K 34 0 20296DORRIS-EATON WALNUT CREEK ELEMENTARY K-8 364 0 20268PALMER SCHOOL FOR BOYS AND GIRLS WALNUT CREEK ELEMENTARY K-8 398 0 20190ST. MARY'S WALNUT CREEK ELEMENTARY K-8 281 0 20232WALNUT CREEK CHRISTIAN ACADEMY WALNUT CREEK ELEMENTARY K-8 349 0 20194

List of Private Schools in Central Contra Costa County

Page 1 of 10





Acalanes High Acalanes Union High HIGH SCHOOL 0 1270 20276Campolindo High Acalanes Union High HIGH SCHOOL 0 1271 20307Del Oro High (Cont) Acalanes Union High CONTINUATION 0 69 20269Las Lomas High Acalanes Union High HIGH SCHOOL 0 1471 20227Miramonte High Acalanes Union High HIGH SCHOOL 0 1281 20310Canyon Elementary Canyon Elementary ELEMENTARY 74 0 20322Juvenile Hall/Community County Off. of Educa JUVENILE HALL 63 397 20046Special Education County Off. of Educa SPECIAL ED 475 217 20089Burton Valley Elementary Lafayette Elementary ELEMENTARY 847 0 20295Happy Valley Elementary Lafayette Elementary ELEMENTARY 459 0 20277Lafayette Elementary Lafayette Elementary ELEMENTARY 464 0 20285M. H. Stanley Middle Lafayette Elementary MIDDLE 1188 0 20285Springhill Elementary Lafayette Elementary ELEMENTARY 506 0 20278Alhambra Senior High Martinez Unified HIGH SCHOOL 0 1232 20010Briones (Alternative) Martinez Unified ALTERNATIVE 7 71 20011John Swett Elementary Martinez Unified ELEMENTARY 550 0 20052Las Juntas Elementary Martinez Unified ELEMENTARY 399 0 20034Martinez Junior High Martinez Unified MIDDLE 1027 0 20019Morello Park Elementary Martinez Unified ELEMENTARY 501 0 20036Muir (John) Elementary Martinez Unified ELEMENTARY 509 0 20023Vicente Martinez High (Cont.) Martinez Unified CONTINUATION 0 79 20011Camino Pablo Elementary Moraga Elementary ELEMENTARY 421 0 20300Donald L. Rheem Elementary Moraga Elementary ELEMENTARY 369 0 20305Joaquin Moraga Intermediate Moraga Elementary MIDDLE 712 0 20301Los Perales Elementary Moraga Elementary ELEMENTARY 412 0 20303Adelante High (Cont.) Mt. Diablo Unified CONTINUATION 0 58 20122Ayers Elementary Mt. Diablo Unified ELEMENTARY 510 0 20139Bancroft Elementary Mt. Diablo Unified ELEMENTARY 508 0 20177Cambridge Elementary Mt. Diablo Unified ELEMENTARY 729 0 20157Clayton Valley High Mt. Diablo Unified HIGH SCHOOL 0 1842 20142College Park High Mt. Diablo Unified HIGH SCHOOL 0 1774 20060Concord High Mt. Diablo Unified HIGH SCHOOL 0 1416 20134Crossroads High (Cont.) Mt. Diablo Unified CONTINUATION 0 29 20151Delta Center (Special Ed.) Mt. Diablo Unified SPECIAL ED 20089Diablo View Middle Mt. Diablo Unified MIDDLE 536 0 20252El Dorado Middle Mt. Diablo Unified MIDDLE 938 0 20134El Monte Elementary Mt. Diablo Unified ELEMENTARY 579 0 20150Fair Oaks Elementary Mt. Diablo Unified ELEMENTARY 419 0 20161Foothill Middle Mt. Diablo Unified MIDDLE 1112 0 20239Glenbrook Middle Mt. Diablo Unified MIDDLE 644 0 20124

List of Public Schools in Central Contra Costa County

Page 2 of 10


Gregory Gardens Elementary Mt. Diablo Unified ELEMENTARY 455 0 20067Hidden Valley Elementary Mt. Diablo Unified ELEMENTARY 906 0 20047Highlands Elementary Mt. Diablo Unified ELEMENTARY 719 0 20244Holbrook Elementary Mt. Diablo Unified ELEMENTARY 476 0 20126Home and Hospital Mt. Diablo Unified ALTERNATIVE 10 41 20089Horizons Alternative Mt. Diablo Unified ALTERNATIVE 246 151 20089Meadow Homes Elementary Mt. Diablo Unified ELEMENTARY 785 0 20155Monte Gardens Elementary Mt. Diablo Unified ELEMENTARY 561 0 20133Mountain View Elementary Mt. Diablo Unified ELEMENTARY 621 0 20136Mt. Diablo Elementary Mt. Diablo Unified ELEMENTARY 849 0 20257Mt. Diablo High Mt. Diablo Unified HIGH SCHOOL 0 1449 20122Northgate High Mt. Diablo Unified HIGH SCHOOL 0 1510 20237Nueva Vista High (Cont.) Mt. Diablo Unified CONTINUATION 0 31 20142Oak Grove Middle Mt. Diablo Unified MIDDLE 949 0 20175Olympic Continuation High Mt. Diablo Unified CONTINUATION 0 262 20128Pine Hollow Middle Mt. Diablo Unified MIDDLE 767 0 20246Pleasant Hill Elementary Mt. Diablo Unified ELEMENTARY 644 0 20090Pleasant Hill Middle Mt. Diablo Unified MIDDLE 733 0 20089Prospect High (Cont.) Mt. Diablo Unified CONTINUATION 0 37 20089Sequoia Elementary Mt. Diablo Unified ELEMENTARY 596 0 20076Sequoia Middle Mt. Diablo Unified MIDDLE 721 0 20076Silverwood Elementary Mt. Diablo Unified ELEMENTARY 413 0 20138Strandwood Elementary Mt. Diablo Unified ELEMENTARY 441 0 20086Summit High (Cont.) Mt. Diablo Unified CONTINUATION 0 30 20133Sun Terrace Elementary Mt. Diablo Unified ELEMENTARY 731 0 20125Sunrise (Special Education) Mt. Diablo Unified SPECIAL ED 0 0 20133Valhalla Elementary Mt. Diablo Unified ELEMENTARY 544 0 20059Valle Verde Elementary Mt. Diablo Unified ELEMENTARY 581 0 20173Valley View Middle Mt. Diablo Unified MIDDLE 680 0 20063Walnut Acres Elementary Mt. Diablo Unified ELEMENTARY 688 0 20239Westwood Elementary Mt. Diablo Unified ELEMENTARY 341 0 20134Woodside Elementary Mt. Diablo Unified ELEMENTARY 537 0 20172Wren Avenue Elementary Mt. Diablo Unified ELEMENTARY 508 0 20130Ygnacio Valley Elementary Mt. Diablo Unified ELEMENTARY 589 0 20162Ygnacio Valley High Mt. Diablo Unified HIGH SCHOOL 0 1634 20176Del Rey Elementary Orinda Union Elementary ELEMENTARY 411 0 20310Glorietta Elementary Orinda Union Elementary ELEMENTARY 418 0 20319Orinda Intermediate Orinda Union Elementary MIDDLE 903 0 20304Sleepy Hollow Elementary Orinda Union Elementary ELEMENTARY 327 0 20330Wagner Ranch Elementary Orinda Union Elementary ELEMENTARY 383 0 20330Alamo Elementary San Ramon Valley Unified ELEMENTARY 386 0 20263Buena Vista Elementary Walnut Creek Elementary ELEMENTARY 468 0 20194Indian Valley Elementary Walnut Creek Elementary ELEMENTARY 386 0 20232Murwood Elementary Walnut Creek Elementary ELEMENTARY 413 0 20265Parkmead Elementary Walnut Creek Elementary ELEMENTARY 496 0 20268Walnut Creek Intermediate Walnut Creek Elementary MIDDLE 1163 0 20183Walnut Heights Elementary Walnut Creek Elementary ELEMENTARY 385 0 20233

Page 3 of 10





CROCKETT EDUCATIONAL CENTER JOHN SWETT UNIFIED K-8 10 0 10286ST. PATRICK'S ELEM. JOHN SWETT UNIFIED K-8 285 0 10262PATCHIN'S SCHOOLS MARTINEZ UNIFIED K-5 35 0 10302A BETTER CHANGE SCHOOL/CAL. AU WEST CONTRA COSTA UNIFIED 1-12 2 12 10160ARLINGTON CHRISTIAN WEST CONTRA COSTA UNIFIED K-12 72 3 10050BETHEL CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 130 6 10228CALVARY CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 88 21 10034CANTERBURY ELEM. WEST CONTRA COSTA UNIFIED K-8 145 0 10192CRESTMONT WEST CONTRA COSTA UNIFIED K-5 64 0 10057EAST BAY MONTESSORI WEST CONTRA COSTA UNIFIED K-6 23 0 10209EAST BAY WALDORF WEST CONTRA COSTA UNIFIED K-9 244 20 10131EL SOBRANTE CHRISTIAN ELEM. WEST CONTRA COSTA UNIFIED K-8 496 0 10183ELIM CHRISTIAN WEST CONTRA COSTA UNIFIED K-12 49 8 10092FAITH CHRISITAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 10 3 10154FAMILY CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 36 6 10050GLOBAL CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 25 7 10189GOLDEN GATE APPLE WEST CONTRA COSTA UNIFIED K-12 36 11 10182KING'S ACADEMY WEST CONTRA COSTA UNIFIED 1-12 25 5 10160LA PETITE ACADEMY WEST CONTRA COSTA UNIFIED K 30 0 10160NEW FAITH CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 20 5 10154PROSPECT SIERRA WEST CONTRA COSTA UNIFIED K-8 523 0 10310RICHMOND EDUCATIONAL LEARNING WEST CONTRA COSTA UNIFIED K-12 11 7 10059ROOT AND WINGS MONTESSORI WEST CONTRA COSTA UNIFIED K-1 20 0 10162SALESIAN HIGH WEST CONTRA COSTA UNIFIED 9-12 0 568 10147SHERWOOD FOREST CHRISTIAN WEST CONTRA COSTA UNIFIED K-8 127 0 10182ST. CORNELIUS ELEM. WEST CONTRA COSTA UNIFIED K-8 253 0 10150ST. DAVID'S ELEM. WEST CONTRA COSTA UNIFIED K-8 305 0 10087ST. JEROME ELEM. WEST CONTRA COSTA UNIFIED K-8 299 0 10310ST. JOHN THE BAPTIST WEST CONTRA COSTA UNIFIED K-8 311 0 10182ST. JOSEPH ELEM. WEST CONTRA COSTA UNIFIED K-8 322 0 10197ST. PAUL ELEM. WEST CONTRA COSTA UNIFIED K-8 287 0 10160TARA HILLS CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED 1-12 30 19 10160TEHIYAH DAY WEST CONTRA COSTA UNIFIED K-8 345 0 10035VISTA CHRISTIAN WEST CONTRA COSTA UNIFIED K-8 137 0 10053WINDRUSH WEST CONTRA COSTA UNIFIED K-8 247 0 10182WORD OF LIFE CHRISTIAN ACADEMY WEST CONTRA COSTA UNIFIED K-12 6 2 10092

List of Private Schools in West Contra Costa County

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Carquinez Middle John Swett Unified Middle 490 0 10294Hillcrest Elementary John Swett Unified Elementary 798 0 10285Swett (John) High John Swett Unified High School 0 659 10294Willow High (Cont.) John Swett Unified Continuation 12 44 10297John Swett Elementary Martinez Unified Elementary 550 0 10303Adams Middle West Contra Costa Unified Middle 1025 0 10109Bayview Elementary West Contra Costa Unified Elementary 663 0 10146Cameron Special Education West Contra Costa Unified SPECIAL ED 10022Castro Elementary West Contra Costa Unified Elementary 382 0 10022Chavez (Cesar E.) Elementary West Contra Costa Unified Elementary 622 0 10088Collins Elementary West Contra Costa Unified Elementary 491 0 10229Coronado Elementary West Contra Costa Unified Elementary 415 0 10064Crespi Junior High West Contra Costa Unified Middle 1045 0 10190De Anza Senior High West Contra Costa Unified High School 0 1381 10196Delta Continuation High West Contra Costa Unified Continuation 0 74 10196Dover Elementary West Contra Costa Unified Elementary 730 0 10138Downer (Edward M.) Elementary West Contra Costa Unified Elementary 930 0 10135El Cerrito Senior High West Contra Costa Unified High School 0 1397 10006El Sobrante Elementary West Contra Costa Unified Elementary 314 0 10190Ellerhorst Elementary West Contra Costa Unified Elementary 427 0 10223Fairmont Elementary West Contra Costa Unified Elementary 402 0 10016Ford Elementary West Contra Costa Unified Elementary 504 0 10106Gompers (Samuel) Continuation West Contra Costa Unified Continuation 1 174 10070Grant Elementary West Contra Costa Unified Elementary 805 0 10090Hanna Ranch Elementary West Contra Costa Unified Elementary 484 0 10261Harbour Way Elem Community Day West Contra Costa Unified COMMUNITY 33 0 10065Harding Elementary West Contra Costa Unified Elementary 388 0 10007Helms Middle West Contra Costa Unified Middle 1265 0 10129Hercules Elementary West Contra Costa Unified Elementary 335 0 10263Highland Elementary West Contra Costa Unified Elementary 645 0 10179Kappa Continuation High West Contra Costa Unified Continuation 0 90 10048Kennedy High West Contra Costa Unified High School 0 1028 10048Kensington Elementary West Contra Costa Unified Elementary 510 0 10003King Elementary West Contra Costa Unified Elementary 534 0 10058Lake Elementary West Contra Costa Unified Elementary 415 0 10144Lincoln Elementary West Contra Costa Unified Elementary 550 0 10070Madera Elementary West Contra Costa Unified Elementary 386 0 10020Middle College High West Contra Costa Unified High School 0 229 10129Mira Vista Elementary West Contra Costa Unified Elementary 372 0 10107Montalvin Manor Elementary West Contra Costa Unified Elementary 323 0 10211

List of Public Schools in West Contra Costa County

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Murphy Elementary West Contra Costa Unified Elementary 407 0 10197North Campus Continuation West Contra Costa Unified Continuation 0 121 10207Nystrom Elementary West Contra Costa Unified Elementary 672 0 10066Ohlone Elementary West Contra Costa Unified Elementary 643 0 10260Olinda Elementary West Contra Costa Unified Elementary 354 0 10199Omega Continuation High West Contra Costa Unified Continuation 0 76 10135Peres Elementary West Contra Costa Unified Elementary 616 0 10082Pinole Junior High West Contra Costa Unified Middle 912 0 10217Pinole Valley High West Contra Costa Unified High School 0 2144 10206Portola Junior High West Contra Costa Unified Middle 989 0 10021Richmond High West Contra Costa Unified High School 0 1622 10135Riverside Elementary West Contra Costa Unified Elementary 315 0 10311Seaview Elementary West Contra Costa Unified Elementary 314 0 10212Shannon Elementary West Contra Costa Unified Elementary 268 0 10214Sheldon Elementary West Contra Costa Unified Elementary 528 0 10193Sigma Continuation High West Contra Costa Unified Continuation 0 72 10206Stege Elementary West Contra Costa Unified Elementary 466 0 10045Stewart Elementary West Contra Costa Unified Elementary 555 0 10205Tara Hills Elementary West Contra Costa Unified Elementary 434 0 10207Transition Learning Center West Contra Costa Unified SPECIAL ED 3 0 10207Valley View Elementary West Contra Costa Unified Elementary 410 0 10197Verde Elementary West Contra Costa Unified Elementary 351 0 10155Vista High (Alt) West Contra Costa Unified Alternative 54 306 10133Washington Elementary West Contra Costa Unified Elementary 390 0 10074Wilson Elementary West Contra Costa Unified Elementary 544 0 10094




Antioch Christian Antioch Unified K-6 61 0 30112Calvary Chapel Christian Antioch Unified K-12 29 3 30187Delta Christian Junior/Senior Antioch Unified 38910 25 36 30112Hilltop Christian Antioch Unified K-10 93 20 30165Holy Rosary Antioch Unified K-8 529 0 30105Keystone Antioch Unified K-12 5 3 30679Promised Land Christian Antioch Unified K-12 24 2 30127Dainty Center/Willow Wood Brentwood Union K-5 91 0 30250Lighthouse Christian Academy Brentwood Union K-12 38 5 30362Tobinworld II Brentwood Union 38729 33 10 30310His Academy Byron union Elementary K-12 39 4 30379Ygnacio Valley Christian Mt. Diablo Unified K-8 175 0 30606Christian Center Pittsburg Unified K-12 471 58 30068Spectrum Center Pittsburg Unified K-8 29 0 30075St. Peter Martyr Elem. Pittsburg Unified K-8 307 0 30620Life Ministries Pittsburg Unified 90 30079

List of Private Schools in East Contra Costa County

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Antioch High Antioch Unified High school 0 2495 30103Antioch Middle Antioch Unified Middle 1383 0 30104Belshaw Elementary Antioch Unified Elementary 815 0 30137Bidwell Elementary Antioch Unified Elementary 580 0 30107Black Diamond Middle Antioch Unified Middle 1606 0 30169Bridges (Community Day) Antioch Unified Community 2 14 30099Deer Valley High Antioch Unified High school 0 2932 30174Fremont Elementary Antioch Unified Elementary 755 0 30104Grant (Mno) Elementary Antioch Unified Elementary 879 0 30693Kimball Elementary Antioch Unified Elementary 735 0 30105Learner-Centered Charter Antioch Unified Elementary 116 0 30655Live Oak High (Cont.) Antioch Unified Continuation 0 188 30104London (Jack) Elementary Antioch Unified Elementary 938 0 30171Marsh Elementary Antioch Unified Elementary 647 0 30109Mission Elementary Antioch Unified Elementary 808 0 30094Muir (John) Elementary Antioch Unified Elementary 765 0 30124Park Middle Antioch Unified Middle 1504 0 30111Prospects High (Alter.) Antioch Unified Alternative 97 524 30099Sutter Elementary Antioch Unified Elementary 746 0 30112Turner Elementary Antioch Unified Elementary 653 0 30083Brentwood Elementary Brentwood Union Elementary Elementary 775 0 30347Bristow (William B.) Middle Brentwood Union Elementary Middle 841 0 30337Edna Hill Middle Brentwood Union Elementary Middle 989 0 30397Garin Elementary Brentwood Union Elementary Elementary 585 0 30397Nunn (Ron) Elementary Brentwood Union Elementary Elementary 559 0 30342Byron Intermediate Byron Union Elementary Elementary 266 0 30416Discovery Bay Elementary Byron Union Elementary Elementary 649 0 30414Excelsior School of Byron (Mid) Byron Union Elementary Middle 234 0 30416Knightsen Elementary Knightsen Elementary Elementary 356 0 30308Freedom High Liberty Union High High school 0 1578 30233La Paloma High (Cont.) Liberty Union High Continuation 0 115 30242Liberty High Liberty Union High High school 0 1914 30392Bel Air Elementary Mt. Diablo Unified Elementary 725 0 30030Gateway High (Cont.) Mt. Diablo Unified Continuation 0 21 30008Rio Vista Elementary Mt. Diablo Unified Elementary 557 0 30008Riverview Middle Mt. Diablo Unified Middle 816 0 30008Shore Acres Elementary Mt. Diablo Unified Elementary 736 0 30006Gehringer Elementary Oakley Union Elementary Elementary 719 0 30256Laurel Elementary Oakley Union Elementary Elementary 722 0 30232Oakley Elementary Oakley Union Elementary Elementary 568 0 30212O'Hara Park Middle Oakley Union Elementary Middle 1456 0 30225Vintage Parkway Elementary Oakley Union Elementary Elementary 739 0 30189Central Junior High Pittsburg Unified Middle 1127 0 30638Elementary Community Day Pittsburg Unified Community 5 0 30619

List of Public Schools in East Contra Costa County

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Foothill Elementary Pittsburg Unified Elementary 632 0 30634Heights Elementary Pittsburg Unified Elementary 642 0 30039Highlands Elementary Pittsburg Unified Elementary 663 0 30631Hillview Junior High Pittsburg Unified Middle 934 0 30630Los Medanos Elementary Pittsburg Unified Elementary 741 0 30047Parkside Elementary Pittsburg Unified Elementary 623 0 30049Pittsburg Senior High Pittsburg Unified High school 0 2171 30064Pittsburg Unified Community Da Pittsburg Unified Community 12 23 30623Riverside High (Cont.) Pittsburg Unified Continuation 3 151 30623Stoneman Elementary Pittsburg Unified Elementary 661 0 30638Willow Cove Elementary Pittsburg Unified Elementary 731 0 30052Timber Point Elementary Elementary 525 0 30408Cypress Lakes Elementary (2015) Elementary 500 0 30299Delta View School (2003) Pittsburg Unified Elementary 726 0 30601Vista Del Mar School (2010) Pittsburg Unified Elem/Middle 800 0 30015Martin Luther King School Pittsburg Unified Elem/Middle 310 0 30645




CALIFORNIA CHRISTIAN ACADEMY A DUBLIN UNIFIED 2-12 17 4 50322ST. PHILIP LUTHERAN DUBLIN UNIFIED K-8 153 0 50301ST. RAYMOND DUBLIN UNIFIED K-8 298 0 40115VALLEY CHRISTIAN JUNIOR/SENIOR DUBLIN UNIFIED 7-12 179 297 40119VALLEY CHRISTIAN SCHOOLS DUBLIN UNIFIED K-6 744 0 40119ADVENTIST CHRISTIAN LIVERMORE VALLEY JOINT UNIFIED 1-8 10 0 50494CELEBRATION ACADEMY LIVERMORE VALLEY JOINT UNIFIED K-12 22 1 50509HOLY CROSS LUTHERAN LIVERMORE VALLEY JOINT UNIFIED K 11 0 50463OUR SAVIOR LUTHERAN LIVERMORE VALLEY JOINT UNIFIED K-8 314 0 50703SONRISE CHRISTIAN ACADEMY LIVERMORE VALLEY JOINT UNIFIED K-8 60 0 50495ST. MICHAEL'S ELEM. LIVERMORE VALLEY JOINT UNIFIED K-8 351 0 50525STIVERS LIVERMORE VALLEY ACADEMY LIVERMORE VALLEY JOINT UNIFIED K-8 92 0 50579VALLEY MONTESSORI LIVERMORE VALLEY JOINT UNIFIED K-8 152 0 50470CARDEN-WEST PLEASANTON UNIFIED K-7 136 0 50691CHILDREN'S WORLD LEARNING CENT PLEASANTON UNIFIED K 24 0 50608HACIENDA PLEASANTON UNIFIED 1-8 82 0 50642HARVEST VALLEY CHRISTIAN ACADEMY PLEASANTON UNIFIED 1-12 13 2 50422TRI-CITY BAPTIST PLEASANTON UNIFIED K-8 13 0 50362ATHENIAN SAN RAMON VALLEY UNIFIED 6-12 139 284 40232CHILD DAY SCHOOLS, THE SAN RAMON VALLEY UNIFIED K-2 9 0 40172DAS MONTESSORI KINDERHAUS SAN RAMON VALLEY UNIFIED K-6 45 0 40222FOUNTAINHEAD MONTESSORI SAN RAMON VALLEY UNIFIED K 8 0 40038SAN RAMON VALLEY CHRISTIAN ACADEMSAN RAMON VALLEY UNIFIED K-8 275 0 40034

List of Private Schools in TriValley Area

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Dublin Elementary Dublin Unified Elementary 386 0 50312Dublin High Dublin Unified High School 0 1072 50315Frederiksen Elementary Dublin Unified Elementary 551 0 50316Murray Elementary Dublin Unified Elementary 384 0 50313Nielsen Elementary Dublin Unified Elementary 348 0 50304Valley High (Cont.) Dublin Unified Continuation 0 81 50317Wells Middle Dublin Unified Middle 1004 0 50317Almond Avenue Elementary Livermore Valley Joint Unified Elementary 600 0 50492Arroyo Mocho Elementary Livermore Valley Joint Unified Elementary 567 0 50486Arroyo Seco Elementary Livermore Valley Joint Unified Elementary 615 0 50498Christensen (Andrew N.) Elementary Livermore Valley Joint Unified Elementary 605 0 50507Croce (Leo R.) Elementary Livermore Valley Joint Unified Elementary 711 0 50505Del Valle Continuation High Livermore Valley Joint Unified Continuation 0 91 50488East Avenue Middle Livermore Valley Joint Unified Middle 836 0 50491Granada High Livermore Valley Joint Unified High School 0 1778 50481Jackson Avenue Elementary Livermore Valley Joint Unified Elementary 523 0 50495Junction Avenue Middle Livermore Valley Joint Unified Middle 802 0 50473Livermore High Livermore Valley Joint Unified High School 0 1936 50494Marylin Avenue Elementary Livermore Valley Joint Unified Elementary 509 0 50477Michell (Joe) Elementary Livermore Valley Joint Unified Elementary 427 0 50481Phoenix High (Cont.) Livermore Valley Joint Unified Continuation 0 82 50481Portola (Don Gaspar De) Elementary Livermore Valley Joint Unified Elementary 544 0 50469Rancho Las Positas Elementary Livermore Valley Joint Unified Elementary 648 0 50529Smith (Emma C.) Elementary Livermore Valley Joint Unified Elementary 459 0 50484Sunset Elementary Livermore Valley Joint Unified Elementary 607 0 50485Vineyard Alternative Livermore Valley Joint Unified Alternative 68 140 50481William Mendenhall Middle Livermore Valley Joint Unified Middle 852 0 50484Mountain House Elementary Mountain House Elementary Elementary 58 0 50521Harney Elementary Patterson Joint Unified Elementary 13 0 50579Alisal Elementary Pleasanton Unified Elementary 582 0 50396Amador Valley High Pleasanton Unified High School 0 1905 50662Donlon Elementary Pleasanton Unified Elementary 825 0 50607Fairlands Elementary Pleasanton Unified Elementary 650 0 50434Foothill High Pleasanton Unified High School 0 1861 50423Harvest Park Intermediate Pleasanton Unified Middle 1054 0 50394

List of Public Schools in TriValley Area

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Lydiksen Elementary Pleasanton Unified Elementary 707 0 50389Mohr (Henry P.) Elementary Pleasanton Unified Elementary 686 0 50401Pleasanton Middle Pleasanton Unified Middle 1044 0 50687Valley View Elementary Pleasanton Unified Elementary 547 0 50410Village High (Cont.) Pleasanton Unified Continuation 0 173 50418Vintage Hills Elementary Pleasanton Unified Elementary 731 0 50432Walnut Grove Elementary Pleasanton Unified Elementary 807 0 50394Armstrong (Neil A.) Elementary San Ramon Valley Unified Elementary 457 0 40116Baldwin (John) Elementary San Ramon Valley Unified Elementary 580 0 40023Bollinger Canyon Elementary San Ramon Valley Unified Elementary 513 0 40105California High San Ramon Valley Unified High School 0 2021 40114Country Club Elementary San Ramon Valley Unified Elementary 650 0 40121Del Amigo High (Cont.) San Ramon Valley Unified Continuation 3 99 40009Disney (Walt) Elementary San Ramon Valley Unified Elementary 523 0 40130Golden View Elementary San Ramon Valley Unified Elementary 586 0 40143Green Valley Elementary San Ramon Valley Unified Elementary 642 0 40038Greenbrook Elementary San Ramon Valley Unified Elementary 650 0 40027Horizons Community Day San Ramon Valley Unified COMMUNITY 2 4 40095Iron Horse Middle San Ramon Valley Unified Middle 829 0 40137Los Cerros Middle San Ramon Valley Unified Middle 912 0 40032Montair Elementary San Ramon Valley Unified Elementary 504 0 40012Monte Vista High San Ramon Valley Unified High School 0 1969 40229Montevideo Elementary San Ramon Valley Unified Elementary 541 0 40109Pine Valley Middle San Ramon Valley Unified Middle 973 0 40128Rancho Romero Elementary San Ramon Valley Unified Elementary 587 0 40223San Ramon Valley High San Ramon Valley Unified High School 0 1935 40017Stone Valley Middle San Ramon Valley Unified Middle 692 0 40253Sycamore Valley Elementary San Ramon Valley Unified Elementary 764 0 40042Tassajara Hills Elementary San Ramon Valley Unified Elementary 712 0 40232Twin Creeks Elementary San Ramon Valley Unified Elementary 411 0 40101Venture (Altern.) San Ramon Valley Unified Alternative 149 293 40095Vista Grande Elementary San Ramon Valley Unified Elementary 645 0 40039Wood (Charlotte) Middle San Ramon Valley Unified Middle 1067 0 40026Sunol Glen Elementary Sunol Glen Unified Elementary 175 0 50424

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