Walking Access to Transit Stations: Evaluating Barriers with Stated Preference
Abstract
The last-mile problem refers to challenges that travelers experience in accessing transit stations from their activity locations. The objective of this study was to find the contributing factors that reduced people's propensity to walk and take transit. A stated preference study was conducted in the Chicago, Illinois, area with an online survey composed of questions based on the actual travel experience of the respondents. The data were used to estimate a logit choice model. The findings showed that access time, safety from crime, and sidewalk availability were important factors that influenced people's choice to walk to transit. The model was used to estimate time-based values associated with reduction in crime and sidewalk availability. The study also estimated the propensity to walk and use transit for a representative resident in each tract of the Chicago metropolitan area. These values were then used to identify census tracts where acute to minimal barriers to walking to transit existed. In addition to suburban areas that were not well suited for walking to transit, the results identified areas that were well served by transit but had other barriers that inhibited walking access to transit.
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References
1. Puentes R. Missed Opportunity: Transit and Jobs in Metropolitan America. Missed Opportunity Series, No. 4, Brookings Institute, Washington, D.C., 2011, pp. 1–63.
2. Santos A., McGuckin N., Nakamoto H. Y., Gray D., and Liss S. Summary of Travel Trends: 2009 National Household Travel Survey. Technical report, FHWA, U.S. Department of Transportation, 2011.
3. Nelson/Nygaard Consulting Associates, Alta Consulting, CALSTART, and Intrago Mobility Services. Maximizing Mobility in Los Angeles: First and Last Mile Strategies. Technical report 1-143, Southern California Association of Governments, Los Angeles, Calif., 2009.
4. Wang H. Approximating the Performance of a Last Mile Transportation System. PhD dissertation. Massachusetts Institute of Technology, Cambridge, 2012.
5. Deka D., and DiPetrillo S. An Assessment of “Last Mile” Shuttles in New Jersey. Alan M. Voorhees Transportation Center, Rutgers University, New Brunswick, N.J., 2012.
6. Cheng S.F., Nguyen D.T., and Lau H.C. A Mechanism for Organizing Last-Mile Service Using Non-Dedicated Fleet. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences, Vol. 2, IEEE, New York, 2012, pp. 85–89.
7. Tilahun N., Thakuriah P., and Keita Y.M. Factors Determining Transit Access by Car-Owners: Implications for Intermodal Passenger Transportation Planning. Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2013.
8. Tilahun N., Li M., Thakuriah P., and Keita Y.M. Transit Use and the Work Commute: An Empirical Analysis of the Role of Urban Densities, Last Mile Problems, and Personal Constraints on Mode Choice. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
9. Brons M., Givoni M., and Rietveld P. Access to Railway Stations and Its Potential in Increasing Rail Use. Transportation Research Part A: Policy and Practice, Vol. 43, No. 2, 2009, pp. 136–149.
10. Cervero R., Round A., Goldman T., and Wu K.L. Rail Access Modes and Catchment Areas for the Bart System. San Francisco Bay Area Rapid Transit District, Berkeley, Calif., 1995.
11. Daniels R., and Mulley C. Explaining Walking Distance to Public Transport: The Dominance of Public Transport Supply. Journal of Transport and Land Use, Vol. 6, No. 2, 2011.
12. Ker I., and Ginn S. Myths and Realities in Walkable Catchments: The Case of Walking and Transit. Road and Transport Research, Vol. 12, No. 2, 2003, pp. 69–80.
13. Loutzenheiser D. R. Pedestrian Access to Transit: Model of Walk Trips and Their Design and Urban Form Determinants Around Bay Area Rapid Transit Stations. In Transportation Research Record 1604, TRB, National Research Council, Washington, D.C., 1997, pp. 40–49.
14. Cervero R. Walk-and-Ride: Factors Influencing Pedestrian Access to Transit. Journal of Public Transportation, Vol. 7 No. 3 2001, pp. 1–23.
15. Park S. Defining, Measuring, and Evaluating Path Walkability, and Testing Its Impacts on Transit Users’ Mode Choice and Walking Distance to the Station. ProQuest, Ann Arbor, Mich., 2008.
16. Hess P.M., Moudon A.V., and Matlick J.M. Pedestrian Safety and Transit Corridors. Journal of Public Transportation, Vol. 7, 2004, pp. 73–93.
17. Kim S., Ulfarsson G.F., and Hennessy J.T. Analysis of Light Rail Rider Travel Behavior: Impacts of Individual, Built Environment, and Crime Characteristics on Transit Access. Transportation Research Part A: Policy and Practice, Vol. 41, No. 6, 2007, pp. 511–522.
18. Walton D., and Sunseri S. Factors Influencing the Decision to Drive or Walk Short Distances to Public Transport Facilities. International Journal of Sustainable Transportation, Vol. 4, No. 4, 2010, pp. 212–226.
19. Olszewski P., and Wibowo S.S. Using Equivalent Walking Distance to Assess Pedestrian Accessibility to Transit Stations in Singapore. In Transportation Research Record: Journal of the Transportation Research Board, No. 1927, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 38–45.
20. Dieleman F.M., Dijst M., and Burghouwt G. Urban Form and Travel Behaviour: Micro-Level Household Attributes and Residential Context. Urban Studies, Vol. 39, No. 3, 2002, pp. 507–527.
21. Ewing R., and Cervero R. Travel and the Built Environment: A Synthesis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1780, Transportation Research Board of the National Academies, Washington, D.C., 2001, pp. 87–114.
22. Ewing R., and Cervero R. Travel and the Built Environment: A Meta-Analysis. Journal of the American Planning Association, Vol. 76, No. 3, 2010, pp. 265–294.
23. Frank L., Bradley M., Kavage S., Chapman J., and Lawton T.K. Urban Form, Travel Time, and Cost Relationships with Tour Complexity and Mode Choice. Transportation, Vol. 35, No. 1, 2008, pp. 37–54.
24. City of Chicago. City of Chicago Data Portal. Accessed Jan. 2014. http://data.cityofchicago.org.
25. Rynkiewicz S. Illinois Crime Rates. Data compiled by the Illinois State Police, Uniform Crime Reporting Program. Chicago Tribune, May 2011.
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Article first published online: April 28, 2019
Issue published: January 2015
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