IMPACT OF PARK-AND-RIDE ON PUBLIC TRANSIT RIDERSHIP

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Transport Problems

Silesian University of Technology

Subject: Economics , Transportation , Transportation Science & Technology

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VOLUME 16 , ISSUE 1 (March 2021) > List of articles

IMPACT OF PARK-AND-RIDE ON PUBLIC TRANSIT RIDERSHIP

Joseph M. POGODZINSKI * / John S. NILES

Keywords : public transport; park-and-ride; transit-oriented development, geographic information systems

Citation Information : Transport Problems. Volume 16, Issue 1, Pages 211-221, DOI: https://doi.org/10.21307/tp-2021-018

License : (CC BY 4.0)

Received Date : 11-December-2019 / Accepted: 26-February-2021 / Published Online: 15-March-2021

ARTICLE

ABSTRACT

We examine the relative impact of increased housing vs. increased parking availability on ridership of public transit. The approach sheds light on the trade-off in alternative land uses near transit stops: park-and-ride (PnR) vs. transit-oriented development (TOD). In the example of one city studied here, econometric analysis suggests that PnR provides more transit ridership than housing. However, the transit agency may choose the alternative of reducing PnR and partnering with housing developers as a source of new non-fare revenue that creates vibrant, walkable growth in station areas, which is considered to be just as important as ridership.

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REFERENCES

1. Niles, J. & Pogodzinski, J.M. Bus Transit Operational Efficiency Resulting from Passenger Boardings at Park-and-Ride Facilities. Mineta Transportation Institute. Available at: https://transweb.sjsu.edu/research/Bus-Transit-Operational-Efficiency-Resulting-PassengerBoardings-Park-and-Ride-Facilities.

2. U.S. Bureau of Labor Statistics. Labor Force Share, by Age Group. 1998, 2008, 2018, and Projected 2028. Available at: https://www.bls.gov/emp/graphics/2019/labor-force-share-by-agegroup.htm.

3. U.S. Census Bureau. Older People Working Longer, Earning More. Available at: https://www.census.gov/library/stories/2018/04/aging-workforce.html.

4. U.S. Bureau of Labor Statistics. Persons with a Disability: Labor Force Characteristics – 2019. Available at: https://www.bls.gov/news.release/pdf/disabl.pdf.

5. U.S. Federal Transit Administration. 2018 National Transit Summaries and Trends. December 2019. Available at: https://www.transit.dot.gov/sites/fta.dot.gov/files/docs/ntd/dataproduct/134401/2018-ntst_1.pdf.

6. The National Transit Database. Available at: https://www.transit.dot.gov/ntd.

7. American Council for an Energy-Efficient Economy. State and Local Policy Database, Transportation System Efficiency. July 2019. Available at: https://database.aceee.org/state/transportation-system-efficiency.

8. U.S. Census Bureau, 2019. American Community Survey estimates. Available at: https://data.census.gov/cedsci/table?q=median%20household%20income&tid=ACSST1Y2019.S 1901&hidePreview=false.

9. Wendell Cox & Pavletich, H. 16th Annual Demographia International Housing Affordability Survey: 2020. Table 6. Available at: http://demographia.com/dhi.pdf.

10. Santa Clara Valley Transportation Authority. 2019 Congestion Management Program Document. November 2019 Available at: http://santaclaravta.iqm2.com/Citizens/FileOpen.aspx?Type=4&ID=9234.

11. Steven G. Wilson & et al. Patterns of Metropolitan and Micropolitan Population Change: 2000 to 2010. US Census Bureau. Report C2010SR-01. September 2012. Available at: https://www.census.gov/library/publications/2012/dec/c2010sr-01.html.

12. VTA Open Data portal. Available at: https://data.vta.org/. Provided dD\ata for VTA GIS files (stops, lines, light rail stations and platforms, and PnR facilities) and ridership data.

13. San Francisco Bay Area Metropolitan Transportation Commission Open Data portal. Available at: https://opendata.mtc.ca.gov/datasets/park-and-ride-lots-2007. Provided additional GIS files related to PnR facilities.

14. U.S. Census Bureau. TIGER/Line with Selected Demographic and Economic Data for 2017 and 2018. Available at: https://www.census.gov/geographies/mapping-files/time-series/geo/tigerdata.html.

15. U.S. Census Bureau. ZIP Code Business Patterns for 2017. Available at: https://www.census.gov/programs-surveys/cbp.html.

16. Guerra, E. & Cervero, R. & Tischler, D. The Half-Mile Circle: Does It Best Represent Transit Station Catchments? Working paper. UC Berkeley: University of California Transportation Center. Available at: https://escholarship.org/uc/item/68r764df.

17. Walker, J. Basics: Walking Distance to Transit. Human Transit blog. April 24, 2011. Available at: https://humantransit.org/2011/04/basics-walking-distance-to-transit.html.

18. Long J. Scott & Freese, J. Regression Models for Categorical Dependent Variables Using Stata. 3rd Edition. Stata Press. 2014. P. 507-511.

19. Wooldridge, J. Econometric Analysis of Cross Section and Panel Data. 2nd Edition. Cambridge. MIT Press. 2010. Section 18.2. P. 724-736.

20. Colin Cameron, A. & Pravin, K. Trivedi. Microeconometrics Using Stata: Revised Edition. Stata Press. 2010. 576 p.

21. University of Minnesota. Park-and-ride transit gives suburban commuters higher access to jobs. Phys.Org blog. May 22, 2019. Available at: https://phys.org/news/2019-05-park-and-ride-transitsuburban-commuters-higher.html.

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