1 / 21

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

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.

mircea
Télécharger la présentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 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

  2. The Question Houston CBD New ? FBC Park & Ride

  3. 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

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

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

  6. 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

  7. Location of Case Study Facilities Houston Metro P&Rs: Spring Kingwood Townsen Bay Area Grand Parkway Kingsland Cypress Northwest Station 28 mi 21 mi 27 mi 21 mi 20 mi 27 mi FBC Transit P&Rs: AMC Movie Theater University of Houston CBD 25 mi 5 miles 22 mi 10 miles 24 mi 24 mi 20 miles

  8. 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

  9. 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

  10. 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

  11. 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

  12. Step 1. Select Analysis Sites 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

  13. Step 2. Analysis Settings

  14. Step 3. Analyze, Record Findings

  15. 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%

  16. Potential New Park & Ride Current FBC Facilities: AMC Movie Theater University of Houston CBD 5 miles 22 mi 10 miles 24 mi 20 miles

  17. Estimated Ridership at New Site

  18. Ridership Estimate forVarying Service Options

  19. Questions? Jonathan Brooks J-brooks@ttimail.tamu.edu

More Related