cris, gps, and blos data collection tools for effective bicycle and pedestrian planning

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CRIS, GPS, and BLOS: Data Collection Tools for Effective Bicycle and Pedestrian Planning Lydia Kelly, Cecilio Martinez, Stephanie Velasquez

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Page 1: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

CRIS, GPS, and BLOS: Data Collection Tools for Effective Bicycle and Pedestrian Planning

Lydia Kelly, Cecilio Martinez, Stephanie Velasquez

Page 2: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Lydia Kelly Bicycle & Pedestrian Transportation Planner Phone: (210) 230-6911 Email: [email protected]

Stephanie Velasquez Regional Transportation Planner Phone: (210) 230-6908 Email: [email protected]

Cecilio Martinez Senior GIS & Web Analyst Phone: (210) 230-6905 Email: [email protected]

Presented by

825 South Saint Mary’s St. | San Antonio, Texas 78205 | Phone: 201-227-8651 | Fax:210-227-9321

www.sametroplan.org

Page 3: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Lydia Kelly Bicycle & Pedestrian Transportation Planner Phone: (210) 230-6911 Email: [email protected]

Introduction and MPO Plans and Programs

Page 4: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Agenda

§  What  is  an  MPO  and  how  it  relates  to  active  transportation  

§  Programs  and  Studies  

§  Data:  Where  it  comes  from;  how  it  is  used  

§  Incorporating  the  Safety  Program  

§  Questions  

Page 5: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Metropolitan  Planning  Organization

Greater Bexar County Council of Cities

Northeast Partnership

Metropolitan Transit

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Transportation  Policy  Board Senator  Jeff  Wentworth      Texas  Legislator    Representative  Joe  Farias      Texas  Legislator  Mayor  Chris  Riley,  Leon  Valley      Greater  Bexar  County  Council  of  Cities  Commissioner  Kevin  Wolff      Bexar  County  Commissioner  Sergio  Rodriguez      Bexar  County                            Commissioner  Tommy  Adkisson  (Chair)    Bexar  County  Renne  Green,  Director  Public  Works    Bexar  County  Councilman  Carlton  Soules      San  Antonio  Councilman  Cris  Medina      San  Antonio    Council  Ray  Lopez        San  Antonio  Councilman  Rey  Saldaña      San  Antonio  Majed  Al  Ghafry,  Dir.  Public  Works    San  Antonio  Mike  Frisbie,  Dir.,  CIMS  Department    San  Antonio  Councilman  William  Weeper,  Selma    Northeast  Partnership  Manuel  Peláez,  Board  Member      VIA  Transit  Mary  Briseño,  Board  Member      VIA  Transit  Mario  Medina,  District  Engineer      SA  District,TxDOT  Clay  Smith,  Planning  Engineer      SA  District,TxDOT  Dean  Danos,  Executive  Director      AACOG    

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MPO  Programs  and  Plan

Unified  Planning  Work  Program:  Budget  and  Planning  Studies  -­‐  2  years  

Metropolitan  Transportation  Plan:    Future  goals,  strategies  and  transportation  projects  for  25  years  

Transportation  Improvement  Program:  Funded  transportation  projects  within  4  years  

Page 8: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Components  of  the  Plans  &  Programs

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Active  Transportation  Programs

Walkable  Community  Program  Walkable  Community  Workshops  Pedestrian  and  Bicycle  Safety  Classes  for  children  and  adults  Bike  rodeos/related  activities  Defensive  Driving  Class  Support  

Walk  &  Roll  Program    Walk  &  Roll  Rally  Supports  National  Bike  to  Work  Month  Encourages  businesses  to  support  active  transportation  Encourages  residents  to  “try”  active  transportation  

Bicycle  and  Pedestrian  Mobility  Advisory  Committees  Monthly  meetings  3  Bike  Night  meetings  a  year  Agency  Staff  and  Citizen  Representation  

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 What  is  wrong  with  this  picture?  

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Elements  desired  for  a  Community

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The  Benefits  a  Walkable  Community

Transportation  Benefits–  reduced  traffic  congestion,  improved  safety,  calms  traffic,  preserves  road  infrastructure.  

 

Economic  Benefits  –  increased  retail  sales  (restaurants,  lodging  establishments,  retail  stores),  job  creation,  and  enhancement  of  nearby  property  values.  

     

Environmental  Benefits  –  improved  air  quality  and  energy  conservation.  

 

Social  Benefits  -­‐  quality-­‐of-­‐life  benefits  from  living  in  communities  with  more  open  space  and  greenways  and  that  provide  more  opportunities  for  walking  or  cycling.    

 

Health  and  Fitness  Benefits–  it  is  well  recognized  that  Americans  would  benefit  in  many  ways  from  a  more  active  lifestyle.  Bike  lanes,  sidewalks  and  trails  promote  healthy  choices.  

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Related  Studies

Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  

II  

San  Antonio  Regional  

Bicycling  Travel  Patterns  Survey  

Pedestrian  Safety  Action  

Plan  

Mobility  2035  Plan  Scenario  Planning  

Scoring  for  Surface  Transportation  Projects  

Metro  Mobility  recognize  active    transportation  projects

Safety    Program  

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Cecilio Martinez Senior GIS & Web Analyst Phone: (210) 230-6905 Email: [email protected]

Study  Network  and  Data  Elements

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The  San  Antonio  –  Bexar  County  Metropolitan  Planning  Organization  (MPO)  Planning  area  

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History

Page 17: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

History 1975

City of San Antonio’s Bicycle Master Plan

1975 San Antonio only had three bicycle corridors, which consisted of McAllister Park, a route connecting St. Mary's University, Trinity University, San Antonio College and Brackenridge Park, and a bike trail along the San Antonio River in the historic mission area.

Page 18: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

History

Bicycle Mobility Task Force

Full-time bicycle coordinators

Identify bicycling funding

1995

UPWP 94-2 San Antonio-Bexar County Bicycle Mobility Plan.

Page 19: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

History 1997

Community’s Bicycle Route Planning Workshop Proposed Bikeways

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History 2005

Adoption of the Bicycle Master Plan April 28, 2004 Consideration of a resolution to execute a Bicycle Master Plan for the City of San Antonio and Bexar County region as called for in the Unified Development Code (Development Services)

Approved by San Antonio City Council on April 21, 2005

Approved by Bexar County Commissioners Court by resolution on July 12, 2005

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Current  

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Bicycle  Network

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Total Percentage of the Bicycle Network

28. 6%

28.6% of Corridors Used From MPO Bicycle Mobility Plan (1994)

and Community-Based Bicycle Planning Study (1997)

+/- 5% margin of error

Page 24: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Total Percentage of the Bicycle Network

56. 8%

28.2% of Corridors Used From 2001 Bicycle Route Suitability Study

+/- 5% margin of error

Page 25: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Total Percentage of the Bicycle Network

62%

5.2% of Corridors Used From 2004 Existing and Funded Bicycle

Facilities and Accommodations

+/- 5% margin of error

Page 26: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Total Percentage of the Bicycle Network

72.9%

10.9% of Corridors Used From 2005 Metropolitan Transportation Plan Update Public Involvement

+/- 5% margin of error

Page 27: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Total Percentage of the Bicycle Network

77. 2%

4.3% of Corridors Used From 2005 Proposed Southside Initiative

and some City of San Antonio Prop 3 Hike and Bike Trails

4.3%

+/- 5% margin of error

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Total Percentage of the Bicycle Network

100%

22.8% of Corridors Used From 2005 The City of San Antonio’s

Major Thoroughfare Plan

+/- 5% margin of error

Page 29: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

How do we evaluate this network?

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What is Bicycle Level of Service (BLOS)?

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What is Bicycle Suitability and Bicycle Level of Service (BLOS)?

Bicycle level of service (BLOS) attempts to place a rating on the experience of bicycling on the transportation networks of collector, arterial, service and local roads. The rating ranges from A to F, good to bad respectively along the lines of the automobile level of service (LOS) model.

a1ln(Vol15/L) + a2SPt(1+10.38HV)2 + a3(1/PC5)2 - a4(We)2 + C

where: Vol15 = directional traffic (15 minutes time period) L = total number of through lanes SPt = effective speed limit (see below) SPt = 1.12ln(SPP -20) + 0.81 SPP = Posted speed limit HV = percentage of heavy vehicles PC5 = FHWA’s five point surface condition rating We = Average effective width of outside through lane

Page 32: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Width of bike lane/paved shoulder Width of outside lane Traffic volume Traffic Speed % Trucks Presence of on-street parking Pavement Condition

Key Inputs for Bicycle Conditions Evaluation

Page 33: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Basis for 2001 San Antonio study Basis for 2005 San Antonio update Part of the 2010 Highway Capacity Manual

BLOS

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Key Inputs for Bicycle Conditions Evaluation

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Orthophoto Imagery

Digital orthophoto is a computer-generated image of an aerial photograph or aerial digitial image in which displacements caused by camera orientation and terrain have been corrected and the image has been projected to a standardized map projection. In other words, digital orthophotos are special photos because they have been processed to be spatially accurate.

The MPO has access to imagery at 4 inch pixel resolution

Why Aerial Photography or Orthophoto Imagery?

The resolution number represents the distance covered by one pixel in the image. Therefore, a 4 inch image is an image where 1 pixel is equal to 4 inches.

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Aerial Photography

Our imagery is updated every year from our partnership with City of San Antonio, Bexar County Appraisal District and Bexar Metro 9-1-1. Which are part of the

Strategic Geospatial Coordination Committee or SGCC

Page 37: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

What can you collect using the Aerial Photography? 1. Number of Lanes = 2 3. Configuration = undivided 6. Total width of outside lane & shoulder = 18ft 7. Width of outside striped lane = 5ft 8. Width of Parking = 0 9. Percent of segment with occupied parking = 0 10. Width of Sidewalk = 6ft

Quickly Identify Geometrics

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Segment Split

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Right-Of Way

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RATING PAVEMENT CONDITION 5.0 (Very Good) Only new or nearly new pavements are likely to be smooth enough and free of cracks

and patches to qualify for this category.

4.0 (Good) Pavement, although not as smooth as described above, gives a first class ride and exhibits signs of surface deterioration.

3.0 (Fair) Riding qualities are noticeably inferior to those above; may be barely tolerable for high-speed traffic. Defects may include rutting, map cracking, and extensive patching.

2.0 (Poor) Pavements have deteriorated to such an extent that they affect the speed of free-flow traffic. Flexible pavement has distress over 50 percent or more of the surface. Rigid pavement distress includes joint spalling, patching, etc.

1.0 (Very Poor) Pavements that are in an extremely deteriorated condition. Distress occurs over 75 percent or more of the surface.

Pavement Condition

Page 41: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Figure 7: Pavement Condition Ratings & Images

PCR 5.0 - Excellent New or nearly new pavements. Free of cracks, patches, or rutting.

PCR 4.0 - Good to Excellent Pavements exhibiting few, if any, visible signs of surface deterioration.

PCR 3.3 - Good Evidence of initial deterioration including hairline cracks and minor rutting.

PCR 2.4 - Fair to Poor Visible defects including moderate cracking, distortion, and rutting. Some patching may now be present.

PCR 1.2 - Poor Extremely deteriorated pavements. Defects include severe cracking, distortion, and rutting. Very extensive patching.

PCR 0.8 - Very Poor Pavement is completely deteriorated. No structural integrity.No salvage value.

Source http://www.state.me.us/mdot/systems_management/pvmnt-conditions.php

A visual example of the Pavement conditions descriptions

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Traffic Count

City of San Antonio Bexar County

Texas Department of Transportation

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Field Collection is most accurate

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2003

Bicycle  Maps  (Free) 2005 2009

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~1,000 miles of roadway studied ~34 miles of bicycle facilities existed ~10,000 copies

11% 10%

15%

37%

24%

3%

0%

5%

10%

15%

20%

25%

30%

35%

40%

Perc

enta

ge o

f Stu

dy N

etw

ork

Segm

ents

A B C D E F

Level of Service Grades

Bicycle Level of Service Distribution

2001 Bicycle Study with 2003 Bicycle Map

Page 46: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

~1,400 miles of roadway studied ~66 miles of bicycle facilities existed ~45,000 copies

2005 Bicycle Study with Bicycle Map

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~1,664 miles of roadway studied ~136 miles of bicycle facilities ~30,000 copies

2009 Bicycle Study with Bicycle Map

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Year Bicycle Network (Miles)

Bicycle Facilities

(Miles)

Number of Copies

2003 1,000 34 10,000

2005 1,400 66 45,000

2009 1,664 136 30,000

Bicycle Study Summary

Page 49: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Progressive Studies

Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

San  Antonio  Regional  Bicycling  Travel  Patterns  Survey  

Page 50: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.  Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

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Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.   Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.  Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

Shoulders 4ft or Greater

Page 52: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.   Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.  Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

Bicycle LOS “B” for all collector and local streets, as well as arterials within one mile of the existing/planned Linear Creekway system Bicycle LOS “C” for all other arterial street

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Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.   Roadway Restripe Candidate

4.  Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

CoSA: 10 ft. (11 ft. if along a VIA route or a road with significant horizontal curvature) TxDOT: 11 ft. Bexar Co.: 12 ft

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Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.   Roadway Restripe Candidate

4.  Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

CoSA: 10 ft. (11 ft. if along a VIA route or a road with significant horizontal curvature) TxDOT: 11 ft. Bexar Co.: 12 ft

Page 55: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.   Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

Motor Vehicle LOS “C”

Page 56: CRIS, GPS, and BLOS  data collection tools for effective bicycle and pedestrian planning

Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.   Road Diet Candidate

5.  Add Paved Shoulders

6.  Detailed Corridor Study Needed

Motor Vehicle LOS “C”

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Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.  Road Diet Candidate

5.   Add Paved Shoulders

6.  Detailed Corridor Study Needed

Right-Of Way and Cross Section

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Bicycle  &  Pedestrian  Data  Collection  Project  Phase  I  and  Phase  II  

1.  Existing/Programmed Paved Shoulders or Bike Lanes

2.  Bicycle LOS Threshold Met

3.  Roadway Restripe Candidate

4.  Road Diet Candidate

5.  Add Paved Shoulders

6.   Detailed Corridor Study Needed

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San  Antonio  Regional  Bicycling  Travel  Patterns  Survey  

To gather data from residents to better understand bike travel in the region, including:

Estimated number of residents who bike The reasons people bike Where people bike The frequency that people bike Barriers to biking Perceptions of current conditions for biking in the region The types of biking improvements that are needed

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San  Antonio  Regional  Bicycling  Travel  Patterns  Survey  

Profile of Bicyclists and Non-Bicyclists

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San  Antonio  Regional  Bicycling  Travel  Patterns  Survey  

The GPS survey was administered to 208 bicyclists ◦ 152 randomly selected bicyclists ◦ 56 active bicyclists who were members of cycling clubs, etc.

The GPS device was carried by bicyclists for one week The GPS device recorded the routes used, speed, and other information that will help us better understand bike travel in the region

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San  Antonio  Regional  Bicycling  Travel  Patterns  Survey  

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Progress

1975 2011

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iMap and Bicycle Information

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Stephanie Velasquez Regional Transportation Planner Phone: (210) 230-6908 Email: [email protected]

MPO’s Safety Program

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§  Efforts began in 2006 §  Best Practices

§  Available crash data

§  2009 began to work with TxDOT – safety data

§  Request from partner agencies for information about traffic and safety crash information for more informed decision making

§  2010 release of the MPO’s Regional Safety Study using 2008 Crash Record Information System data

History

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§  Exceptional growth over the next 20 years, expecting 600,000 new residents.

§  Introducing CRIS and safety data to our region.

§  Budget constraints limit the ability for the needed transportation improvements making safety even more of a pressing issue.

§  Efforts to reduce the frequency and severity of crashes has long been underway, this study offers a more coordinated effort across local jurisdictions.

§  Priority for the MPO and Partner Agencies §  Requests from City of San Antonio Public Works

§  San Antonio Police Department §  Bicycle and Pedestrian Mobility Advisory Committees

Purpose of the 2010 Safety Study

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v  Introduction v  Transportation Safety in

the Planning Process v  Regional Safety

Committee v  Methodology v  Legislative Information v  Next Steps

v  Regional  Crash  Assessment  v  Impaired  Driving  v  Distracted  Driving  v  Road  Rage/Aggressive  Driving  v  Cell  Phone  Use  v  Speeding  v  Bicycle  Crashes  v  Pedestrian  Crashes  v  Motorcycle  Crashes  

 v  Analysis  

 v  Technical  Appendix  

2010 Safety Study Overview

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v  Regional Crash Assessment

v  Impaired Driving

v  Distracted Driving

v  Road Rage/Aggressive Driving

v  Cell Phone Use

v  Speeding

v  Bicycle Crashes

v  Pedestrian Crashes

v  Motorcycle Crashes

On average, one bicyclist is involved in a crash with a vehicle every other day in our region.

Did you know? v  The first automobile crash involving a cyclist in the United States occurred

in New York City in 1896, when a motor vehicle collided with a bicyclist. (www.cycling.org)

v  Cyclists were the highest paid athletes in the U.S. until Babe Ruth joined the Yankees.(www.cycling.org)

v  Helmet use has been estimated to reduce head injury risk by 85 percent.

v  Twenty-onestates and the District of Columbia have helmet laws applying to young bicyclists; none ofthese laws applies to all riders. (www.helmets.org)

2010 Safety Study Overview

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2010 Safety Study Overview

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Analyzed accurate quantitative and qualitative data.

v  Crash Records Information System

v  Transportation Survey

v  GIS

2010 Safety Study Overview

Methodology

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Crash Unit Person

Photo courtesy San Antonio Express-News Photo courtesy San Antonio Express-News

Phot

o co

urte

sy S

an A

nton

io E

xpre

ss-N

ews

Crash Number

Crash Records Information System (CRIS)

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§  Create a Regional Safety Program

§  Develop an online public friendly format

§  Current three years

§  Develop an online application that allows public agencies to directly access data §  “iMap”

Safety Study Overview – Next Steps

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§  City of San Antonio Bond Project Selection for 2012

§  STP-MM Funding for Future MPO Projects

§  Walkable Community Workshops

§  Bicycle Master Plan

§  Pedestrian Safety Action Plan

§  San Antonio Police Deployment of Resources

§  Education and Awareness Campaigns

§  Support Data for Grant Applications

§  Northside Independent School District

How is the Safety Data Used?

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§  More formalization of safety efforts, analysis and data collection

§  Information is updated online §  More in-depth information of analysis areas §  Additional contributing factors analyzed §  Includes year 2010 thus far §  8 contributing factors represent 76% crashes

MPO Safety 2012

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§  Transportation Safety Committee §  Texas Department of Transportation

§  San Antonio Police Department

§  City of San Antonio

§  Silver Eagle Distributors

§  Bexar County Sheriff’s office

§  Bexar County GIS Department

§  Mother’s Against Drunk Driving

§  Federal Highway Administration

Who helps us make decisions?

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§  Bike Master Plan

§  Pedestrian Safety Action Plan

§  STP-MM projects

§  City of San Antonio Bond Program

§  Walkable Community Workshops

Safety: an Important Component in Transportation Planning

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Bike Master Plan

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Pedestrian Safety Action Plan

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No Entity Roadway Name Number of Crashes

Crash Rate per VMT

57 TxDOT IH 410 Pedestrian Accommodations 0 0.00

59 TxDOT Loop 13 Pedestrian Facilities 15 1.39

60 TxDOT Loop 13 Pedestrian Facilities 3 0.68

67 TxDOT US 87 Bicycle Accommodations 3 0.72

STP-MM projects

The formula for calculating the crash rate for a roadway segment is presented below. The “Rate” ( R ) is expressed in crashes per Million Vehicle Miles Traveled (MVMT),

which is standard to the Traffic Engineering profession.

Where: A = Average number of crashes along the study roadway per year L = Length of roadway segment in miles V = Average Daily Traffic Volume along the roadway

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City of San Antonio Bond Program

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Walkable Community Workshops

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Bike Night

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iMap update with safety related data

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§  Safety Program Continued Development §  Regional Safety Trends

§  Performance Measures

§  Counter Measures

Next Steps

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Questions Lydia Kelly, Cecilio Martinez, Stephanie Velasquez