Diurnal pattern of transit ridership: a case study of the New York City subway system

Journal of Transport Geography

Volumn 17, Issue 3, 2009, Pages 176-186

  Chen, Cynthia ^a   Chen, Jason ^a   Barry, James ^b  

^a City University of New York   (United States)

^b Operations Planning   (United States)

Author keywords

Built environment; Diurnal pattern; Socio demographics; Subway; Transit ridership

Indexed keywords

DEMOGRAPHY; DIURNAL ACTIVITY; RAILWAY TRANSPORT; TRAVEL BEHAVIOR;

NEW YORK [NEW YORK (STT)]; NEW YORK [UNITED STATES]; NORTH AMERICA; UNITED STATES;

EID: 67349218388     PISSN: 09666923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtrangeo.2008.09.002     Document Type: Article

References (20)

1. Badoe D.A., and Miller E.J. Land-use interaction: empirical findings in North America, and their implications for modeling. Transportation Research Part D 5 (2000) 235-263
2. Ben-Akiva M., and Lerman S. Discrete Choice Modeling: Theory and Applications to Travel Demand (1985), MIT Press, Cambridge
3. Bram, J., McKay, A., 2005. The evolution of commuting patterns in the New York City metro area. Federal Reserve Bank of New York 11(10), 1-7.
4. Census, 2000. .
5. Chen C., and McKnight C. Does the built environment make a difference? Additional evidence from the daily activity and travel behavior of homemakers living in NYC and suburbs. Journal of Transport Geography 15 5 (2007) 380-395
6. Chen C., Gong H., and Paaswell R. Role of the built environment on mode choice decisions: additional evidence on the impact of density. Transportation 35 3 (2008) 285-299
7. Gordon P., and Wilson R. The determinants of light-rail transit demand - an international cross-sectional comparison. Transportation Research Part A 18 2 (1984) 135-140
8. Goodchild M.F., Klinkenberg B., and Janelle D.G. A factorial model of aggregate spatio-temporal behavior: application to the diurnal cycle. Geographical Analysis 25 4 (1993) 277-294
9. Goodchild M.F., and Janelle D.G. The city around the clock: space-time patterns of urban ecological structure. Environment and Planning A 16 (1984) 807-820
10. Hagerstrand, T., 1970. What about people in regional science? Papers in Regional Science Association 24, 7-24.
11. Hensher D., and Johnson L. Applied Discrete Choice Modelling (1981), John Wiley and Sons, New York
12. Janelle D., and Goodchild M. Diurnal patterns of social group distributions in a Canadian City. Economic Geography 59 4 (1983) 403-425
13. Janelle D.G., Klinkerberg B., and Goodchild M.F. The temporal ordering of urban space and daily activity patterns for population role groups. Geographical Systems 5 (1998) 117-137
14. Kain J., and Liu Z. Secrets of success: assessing the large increases in transit ridership achieved by Houston and San Diego transit providers. Transportation Research Part A 33 7-8 (1999) 601-624
15. Kuby M., Barranda A., and Upchurch C. Factors influencing light-rail station boardings in the United States. Transportation Research Part A 38 3 (2004) 223-247
16. Lane, C., DiCarlantonio, M., Usvyat, L., 2006. Sketch models to forecast commuter and light-rail ridership: update to TCRP report 16. Transportation research board 85th annual meeting, Washington DC.
17. MTA (New York Metropolitan Transportation Authority), 2006. New York Metropolitan Transportation Council (NYMTC). 2004. Hub Travel at a Glance. .
18. Polzen, S., Page, O., 2003. Ridership trends of new start rail projects. In: 9th National Light-Rail Transit Conference, Transportation Research Board, Portland, OR, pp. 16-18 (November).
19. Voith R. Fares, service levels, and demographics: what determines commuter rail ridership in the long run?. Journal of Urban Economics 41 2 (1997) 176-197
20. Zandvliet R., and Dijst M. Short-term dynamics in the use of places: a space-time typology of visitor populations in the Netherlands. Urban Studies 43 7 (2006) 1159-1176