Development of a temporal and spatial linkage between transit demand and landuse patterns

Journal of Transport and Land Use

Volumn 6, Issue 2, 2013, Pages 33-46

  Lee, Sang Gu ^a   Hickman, Mark ^b   Tong, Daoqin ^c  

^a East West Gateway Council of Governments   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF ARIZONA   (United States)

Author keywords

Smart card data; Transit and land use; Transit service areas; Transit stop aggregation

Indexed keywords

EID: 84881291522     PISSN: None     EISSN: 19387849     Source Type: Journal    
DOI: 10.5198/jtlu.v6i2.268     Document Type: Article

References (30)

1. Barry, J. J., R. Newhouser, A. Rahbee, and S. Sayeda. 2002. Origin and destination estimation in New York City with automated fare system data. Transportation Research Record: Journal of the Transportation Research Board, 1817: 183-187.
2. Beimborn, E. A., M. J. Greenwald, and X. Jin. 2003. Accessibility, connectivity, and captivity: Impacts on transit choice. Transportation Research Record: Journal of the Transportation Research Board, 1835: 1-9.
3. Cervero, R. and K. Kockelman. 1997. Travel demand and the 3Ds: Density, diversity, and design. Transportation Research A, 31(3): 199-219.
4. Cervero, R., C. Ferrell, and S. Murphy. 2002. TCRP Research Results Digest 52: Transit-oriented development and joint development in the United States: A literature review. Transportation Research Board of the National Academies: Washington, DC.
5. Cheng, C. and A. W. Agrawal. 2010. TTSAT: A new approach to mapping transit accessibility. Journal of Public Transportation, 13(1): 55-72.
6. Crowley, David F., A. S. Shalaby, and H. Zarei. 2009. Access walking distance, transit use, and transit-oriented development in North York City Center, Toronto, Canada. Transportation Research Record: Journal of the Transportation Research Board, 2110: 96-105.
7. El-Geneidy, A. M., P. Tetreault, and J. Surprenant-Legault. 2010. Pedestrian access to transit: Identifying redundancies and gaps using a variable service area analysis. Proceedings of the Transportation Research Board Annual Meeting, Washington, DC.
8. Environmental Systems Research Institute (ESRI). 1996. ArcView network analyst: Optimum routing closest facility and service area analysis. ESRI, Inc.: Redlands, CA.
9. Fitzpatrick, K., K. Hall, D. Perkinson, L. Nowlin, and R. Koppa. 1996. Guidelines for the location and design of bus stops. Transit Cooperative Research Program Report No. 19. Texas Transportation Institute, Transportation Research Board, National Research Council, Washington, DC.
10. Furth, P. G. and D. S. Navick. 1992. Bus route O-D matrix generation: Relationship between biproportional and recursive methods. Transportation Research Record: Journal of the Transportation Research Board, 1338:14-21.
11. Furth, P. G. and A. B. Rahbee. 2000. Optimal bus stop spacing through dynamic programming and geographic modeling. Transportation Research Record: Journal of the Transportation Research Board, 1731:15-22.
12. Furth, P. G., M. C. Mekuria, and J. L. SanClemente. 2007a. Stop spacing analysis using geographic information system tools with parcel and street network data. Transportation Research Record: Journal of the Transportation Research Board, 2034:73-81.
13. Furth, P. G., M. C. Mekuria, and J. L. SanClemente. 2007b. Parcel-level modeling to analyze transit stop location changes. Journal of Public Transportation, 10(2): 73-91. General Transit Feed Specification (GTFS) Data Exchange. 2010. http://www.gtfs-data-exchange.com/(Accessed December 2010).
14. Gutiérrez, J. and J. C. García-Palomares. 2008. Distance-measure impacts on the calculation of transport service areas using GIS. Environment & Planning B: Planning & Design, 35: 480-503.
15. Hess, P. M., A. V. Moudon, and M. G. Logsdon. 2001. Measuring land use patterns for transportation research. Transportation Research Record: Journal of the Transportation Research Board, 1780:17-24.
16. Hsiao, S., J. Lu, J. Sterling, and M. Weatherford. 1997. Use of geographic information system for analysis of transit pedestrian access. Transportation Research Record: Journal of the Transportation Research Board, 1604:50-59.
17. Kerrigan, M. and D. Bull. 1992. Measuring accessibility: A public transport accessibility index. Environmental Issues: Selected Proceedings of the Seminar B PTRC Summer Annual Meeting. PTRC Education and Research Services, 245-256.
18. Kimpel, T. J., K. J. Dueker, and A. M. El-Geneidy. 2007. Using GIS to measure the effect of overlapping service areas on passenger boardings at bus stops. Urban and Regional Information Systems Association (URISA) Journal, 19(1): 5-11.
19. Lee, S. G., and M. D. Hickman. 2011. Travel pattern analysis using smart card data of regular users. Proceedings of the 90th Annual Meeting of the Transportation Research Board, Washington, DC.
20. Lee, S. G., A. Khani, D. Tong, and M. D. Hickman. 2011. Aggregate level origin-destination estimation using smart card data and transit schedule. In Proceedings of the 2011 TRF Annual Forum, Proceedings of the 52nd Annual Forum. Long Beach, CA.
21. Loutzenheiser, D. R. 1997. Pedestrian access to transit: Model of walk trips and their design and urban form determinants around Bay Area Rapid Transit stations. Transportation Research Record: Journal of the Transportation Research Board, 1604: 40-49. MetroGIS. 2010. http://www.metrogis.org/(Accessed December, 2010).
22. Murray, A. T., R. Davis, R. J. Stimson, and L. Ferreira. 1998. Public transportation access. Transportation Research D, 3: 319-328.
23. O'Neill, W. A., R. D. Ramsey, and J. Chou. 1992. Analysis of transit service areas using geographic information systems. Transportation Research Record: Journal of the Transportation Research Board, 1364: 131-138.
24. O'Sullivan, S. and J. Morrall. 1996. Walking distances to and from light-rail transit stations. Transportation Research Record: Journal of the Transportation Research Board, 1538: 19-26.
25. Polzin, E. S., R. M. Pendyala, and S. Navari. 2002. Development of time-of-day-based transit accessibility analysis tool. Transportation Research Record: Journal of the Transportation Research Board, 1799: 35-41.
26. Schlossberg, M. and N. Brown. 2004. Comparing transit oriented developments based on walkability indicators. Transportation Research Record: Journal of the Transportation Research Board, 1887: 34-42.
27. Upchurch, C., M. Kuby, M. Zoldak, and A. Barranda. 2004. Using GIS to generate mutually exclusive service areas linking travel on and off a network. Journal of Transport Geography, 12(1): 23-33.
28. US Census Bureau. 2010. US Census TIGER files. http://www.census.gov/geo/www/tiger/(Accessed December 2010).
29. Weinstein, A., B. Vanessa, I. Katja, and M. Schlossberg. 2007. How far, by which route, and why? A spatial analysis of pedestrian preference. Proceedings of the 2007 Transportation Research Board Annual Meeting, Washington, DC.
30. Zhao, F., L-F. Chow, M-T. Li, I. Ubaka, and A. Gan. 2003. Forecasting transit walk accessibility: Regression model alternative to buffer method. Transportation Research Record: Journal of the Transportation Research Board, 1835: 34-41.