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Performance indicators for public transit connectivity in multi-modal transportation networks

Author

Listed:
  • Mishra, Sabyasachee
  • Welch, Timothy F.
  • Jha, Manoj K.

Abstract

Connectivity plays a crucial role as agencies at the federal and state level focus on expanding the public transit system to meet the demands of a multimodal transportation system. Transit agencies have a need to explore mechanisms to improve connectivity by improving transit service. This requires a systemic approach to develop measures that can prioritize the allocation of funding to locations that provide greater connectivity, or in some cases direct funding towards underperforming areas. The concept of connectivity is well documented in social network literature and to some extent, transportation engineering literature. However, connectivity measures have limited capability to analyze multi-modal public transportation systems which are much more complex in nature than highway networks.

Suggested Citation

  • Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
  • Handle: RePEc:eee:transa:v:46:y:2012:i:7:p:1066-1085
    DOI: 10.1016/j.tra.2012.04.006
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    References listed on IDEAS

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    1. Modarres, Ali, 2003. "Polycentricity and transit service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 841-864, December.
    2. Guerra, Erick & Cervero, Robert & Tischler, Daniel, 2011. "The Half-Mile Circle: Does It Best Represent Transit Station Catchments?," University of California Transportation Center, Working Papers qt9jd6r1t9, University of California Transportation Center.
    3. Guerra, Erick & Cervero, Robert & Tischler, Daniel, 2011. "The Half-Mile Circle: Does It Best Represent Transit Station Catchments?," University of California Transportation Center, Working Papers qt68r764df, University of California Transportation Center.
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    Citations

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    Cited by:

    1. Xu, Wangtu & Lin, Weihua, 2016. "Selecting the public transit projects with PCA-DP technique: The example of Xiamen City," Transport Policy, Elsevier, vol. 46(C), pages 56-71.
    2. repec:gam:jsusta:v:10:y:2018:i:4:p:1069-:d:139490 is not listed on IDEAS
    3. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    4. Agostino, Deborah & Steenhuisen, Bauke & Arnaboldi, Michela & de Bruijn, Hans, 2014. "PMS development in local public transport: Comparing Milan and Amsterdam," Transport Policy, Elsevier, vol. 33(C), pages 26-32.
    5. repec:eee:transb:v:105:y:2017:i:c:p:120-143 is not listed on IDEAS
    6. repec:eee:ejores:v:263:y:2017:i:3:p:864-878 is not listed on IDEAS
    7. repec:eee:trapol:v:61:y:2018:i:c:p:51-59 is not listed on IDEAS
    8. Welch, Timothy F., 2013. "Equity in transport: The distribution of transit access and connectivity among affordable housing units," Transport Policy, Elsevier, vol. 30(C), pages 283-293.
    9. Dimitrov, Stavri Dimitri & Ceder, Avishai (Avi), 2016. "A method of examining the structure and topological properties of public-transport networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 373-387.
    10. Dwi Prasetyani, 2016. "Dryland Farmers’ Access to Productive Resources (A Case Study of Wonogiri)," GATR Journals jber118, Global Academy of Training and Research (GATR) Enterprise.
    11. Xia, Jianhong(Cecilia) & Nesbitt, Joshua & Daley, Rebekah & Najnin, Arfanara & Litman, Todd & Tiwari, Surya Prasad, 2016. "A multi-dimensional view of transport-related social exclusion: A comparative study of Greater Perth and Sydney," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 205-221.

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