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Transit ridership estimation with network Kriging: a case study of Second Avenue Subway, NYC

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  • Zhang, Dapeng
  • Wang, Xiaokun (Cara)

Abstract

An attractive topic in transportation practice is transit ridership estimation. Reliable estimates are beneficial to spatial structuring, facility design, and vehicle operation, as well as financial and labor management. Traditional ridership estimation approaches mainly rely on regression models that consider subway fares, population, and employment distribution in surrounding areas. Yet consideration of ridership’s spatial dependency is largely lacking in these models. This paper recognizes the spatial effect by estimating the ridership of the new Second Avenue Subway in New York City using a network Kriging method. Network distance, instead of Euclidean distance, is used to reflect the fact that subway stations are only connected by subway tunnels. Results show that the new service should effectively relieve the traffic burden on other currently crowded subway lines.

Suggested Citation

  • Zhang, Dapeng & Wang, Xiaokun (Cara), 2014. "Transit ridership estimation with network Kriging: a case study of Second Avenue Subway, NYC," Journal of Transport Geography, Elsevier, vol. 41(C), pages 107-115.
    • Handle: RePEc:eee:jotrge:v:41:y:2014:i:c:p:107-115
    DOI: 10.1016/j.jtrangeo.2014.08.021
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    1. Kuby, Michael & Barranda, Anthony & Upchurch, Christopher, 2004. "Factors influencing light-rail station boardings in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 223-247, March.
    2. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    3. Eric Hildebrand, 2003. "Dimensions in elderly travel behaviour: A simplified activity-based model using lifestyle clusters," Transportation, Springer, vol. 30(3), pages 285-306, August.
    4. Wang, George H. K. & Skinner, David, 1984. "The impact of fare and gasoline price changes on monthly transit ridership: Empirical evidence from seven U.S. transit authorities," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 29-41, February.
    5. Baum-Snow, Nathaniel & Kahn, Matthew E., 2000. "The effects of new public projects to expand urban rail transit," Journal of Public Economics, Elsevier, vol. 77(2), pages 241-263, August.
    6. Jin Kim & Ming Zhang, 2005. "Determining Transit’s Impact on Seoul Commercial Land Values: An Application of Spatial Econometrics," International Real Estate Review, Global Social Science Institute, vol. 8(1), pages 1-26.
    7. Kain, John F. & Liu, Zvi, 1999. "Secrets of success: assessing the large increases in transit ridership achieved by Houston and San Diego transit providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 601-624.
    8. Frank Goetzke, 2008. "Network Effects in Public Transit Use: Evidence from a Spatially Autoregressive Mode Choice Model for New York," Urban Studies, Urban Studies Journal Limited, vol. 45(2), pages 407-417, February.
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    15. Jeongwoo Lee & Marlon Boarnet & Douglas Houston & Hilary Nixon & Steven Spears, 2017. "Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line," Sustainability, MDPI, vol. 9(10), pages 1-27, October.
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