quantifying park & ride demand using lehd od data and case study analysis

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QUANTIFYING PARK & RIDE DEMAND USING LEHD OD DATA AND CASE STUDY ANALYSIS JONATHAN BROOKS ASSOCIATE TRANSPORTATION RESEARCHER TRANSIT MOBILITY PROGRAM TEXAS A&M TRANSPORTATION INSTITUTE THE TEXAS A&M UNIVERSITY SYSTEM GIS IN TRANSIT CONFERENCE 2013 OCTOBER 17, 2013

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Quantifying Park & Ride Demand Using LEHD OD Data and Case Study Analysis. GIS in Transit Conference 2013 October 17, 2013. Jonathan Brooks Associate Transportation Researcher Transit Mobility Program Texas A&M Transportation Institute The Texas A&M University System. The Question. - PowerPoint PPT Presentation

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Page 1: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

QUANTIFYING PARK & RIDE DEMAND USING LEHD OD DATA

ANDCASE STUDY ANALYSIS

JONATHAN BROOKSASSOCIATE TRANSPORTATION RESEARCHERTRANSIT MOBILITY PROGRAMTEXAS A&M TRANSPORTATION INSTITUTETHE TEXAS A&M UNIVERSITY SYSTEM

GIS IN TRANSIT CONFERENCE 2013OCTOBER 17, 2013

Page 2: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

The Question

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New ? FBC Park & Ride

HoustonCBD

Page 3: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Park & Ride Market-Sheds

Limited by distance Facilities close together may reduce each

other’s ridership generation Rider’ willingness to backtrack limited Market-shed most often parabolic shape 50% of riders typically live within 2.5 miles

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Page 4: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

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Source:Final Report, New York City Park & Ride Study, January 2012

Page 5: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Source:Park-and-Ride Planning and Design Guidelines, Spillar (1997)

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Page 6: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Demand Estimation ModelSimplified Steps Identify case study sites, obtain ridership data Obtain OD worker flow volumes from LEHD Calculate mode capture rates Apply capture rates to potential new sites

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Page 7: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Houston Metro P&Rs:SpringKingwoodTownsenBay AreaGrand ParkwayKingslandCypressNorthwest Station

FBC Transit P&Rs:AMC Movie TheaterUniversity of Houston

5 miles

10 miles

20 miles

27 mi28 mi

21 mi

21 mi

20 mi

27 mi

25 mi

24 mi

22 mi

24 mi

7

CBD

Location of Case Study Facilities

Page 8: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Observations about METRO Sites

2.5 mi radius circle covered about 37% of riders (2009 & 2012 license plate data)

Parabola can describe general distribution Findings generally coincided with literature

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Page 9: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

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Page 10: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Summary of Case Study

Average distance to CBD: 24.3 miles Average peak weekday CBD bound riders: 726 Average # of inbound bus trips: 25 Typical headway in peak of peak: 3 minutes

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Page 11: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Longitudinal Employer-Household Dynamics (LEHD), US Census Annual data Links home to work Census Blocks Work data, not exactly travel data OnTheMap is the online tool

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Page 12: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Paired Analysis for OD Flows

Selected 2.5 mile radius around P&R Selected 1 mile radius to encompass CBD Tabulated OD volume between two sites,

by income bracket• $1,250 per month or less• $1,251 to $3,333 per month• More than $3,333 per month

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Page 13: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Step 1. Select Analysis Sites

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2.5 mile radius circle around facility used to identify home Census Blocks

1 mile radius circle around CBD used to

identify work Census Block

Page 14: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Step 2. Analysis Settings

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Page 15: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Step 3. Analyze, Record Findings

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Page 16: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Case Study Findings

Based on analysis of the 2.5 mile radius around case study METRO park & rides: Average weekday CBD bound riders: 767 Average LEHD worker flow to CBD: 1,579 Park & ride modal capture ratio: 18%• Lowest three sites 11%• Highest three sites 28%

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Page 17: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Potential New Park & Ride

CBD

Current FBC Facilities:AMC Movie TheaterUniversity of Houston

5 miles

10 miles

20 miles

22 mi

24 mi

Page 18: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

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Page 19: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

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Estimated Ridership at New Site

Page 20: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

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Ridership Estimate forVarying Service Options

OPTION 2 3

DescriptionFort Bend

ShuttleExtension

METRO 262

Type of ServiceShuttle to

meet METRO route

METRO route

extension

Assume Park & Ride Location

35%of Low

Non-stop P&R

75%of Low

Non-stop P&R Low High

On or near UH 83 250 330 866

4 5New Fort

Bend Route

New METRO Route

Park & Ride

Park & Ride

546

ESTIMATED AM PEAK RIDERSHIP

Medium

Page 21: Quantifying Park & Ride  Demand  Using  LEHD OD Data and Case  Study Analysis

Questions?

Jonathan [email protected]

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