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On the allocation of city space to multiple transport modes

Author

Listed:
  • Eric J. Gonzales
  • Nikolas Geroliminis
  • Michael J. Cassidy
  • Carlos F. Daganzo

Abstract

This paper analyzes urban multimodal transportation systems in an aggregated way. To describe the aggregate behavior of traffic in cities, use is made of an idea that is now receiving some attention: the macroscopic fundamental diagram (MFD). We demonstrate through simulation how the MFD can be used to monitor and control a real network, in this case a portion of San Francisco, using readily available input data. We then show how different modes interact on the same network and discuss how these interactions might be incorporated into an MFD for multimodal networks. The work unveils two main results: first, it confirms recent results showing that restricting access to a city's congested areas can improve mobility for all travelers, including those who endure the restrictions; and second, that dedicating street space to collective transport modes can improve accessibility for all modes, even those from which space is taken away.

Suggested Citation

  • Eric J. Gonzales & Nikolas Geroliminis & Michael J. Cassidy & Carlos F. Daganzo, 2010. "On the allocation of city space to multiple transport modes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(8), pages 643-656, September.
    • Handle: RePEc:taf:transp:v:33:y:2010:i:8:p:643-656
    DOI: 10.1080/03081060.2010.527171
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    References listed on IDEAS

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    1. Cassidy, Michael J & Jang, Kitae & Daganzo, Carlos F, 2008. "The Smoothing Effect of Carpool Lanes on Freeway Bottlenecks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6fk4s29c, Institute of Transportation Studies, UC Berkeley.
    2. Cassidy, Michael J. & Daganzo, Carlos F., 2007. "Deploying Lanes for High Occupancy Vehicles in Urban Areas," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6r52d95p, Institute of Transportation Studies, UC Berkeley.
    3. Daganzo, Carlos F., 2005. "Improving City Mobility through Gridlock Control: an Approach and Some Ideas," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7w6232wq, Institute of Transportation Studies, UC Berkeley.
    4. Menendez, Monica & Daganzo, Carlos F., 2006. "Effects of HOV Lanes on Freeway Bottlenecks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt90j398zb, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Anderson, Paul & Geroliminis, Nikolas, 2020. "Dynamic lane restrictions on congested arterials," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 224-243.
    2. Zheng, Nan & Geroliminis, Nikolas, 2013. "On the distribution of urban road space for multimodal congested networks," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 326-341.
    3. Loder, Allister & Bliemer, Michiel C.J. & Axhausen, Kay W., 2022. "Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 113-132.
    4. Amirgholy, Mahyar & Shahabi, Mehrdad & Gao, H. Oliver, 2017. "Optimal design of sustainable transit systems in congested urban networks: A macroscopic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 261-285.
    5. José Gerardo Carrillo-González & Guillermo López-Maldonado & Juan Lopez-Sauceda & Francisco Perez-Martinez, 2023. "Method for Selecting the Vehicles That Can Enter a Street Network to Maintain the Speed on Links above a Speed Threshold," Sustainability, MDPI, vol. 15(13), pages 1-29, June.

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