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How intermediate capacity modes provide accessibility and resilience in metropolitan transit networks: insights from a global study of 19 cities

journal contribution
posted on 2024-11-02, 04:00 authored by Jan ScheurerJan Scheurer
Drawing on the Spatial Network Analysis of Multimodal Urban Transport Systems (SNAMUTS) accessibility tool, this paper introduces comparative results of public transport network performance measures in 19 metropolitan regions in developed countries. These results are assessed typologically and functionally to highlight the contribution of each common public transport mode to maximize (or not) the integration of transport networks with the urban structure to optimize accessibility outcomes. It is shown that the capacity and performance spectrum embodied by each mode represents a gradual scale that allocates a specific niche to intermediate modes, particularly trams that are present in half the cities studied and absent from the others. In a comparison of Munich, Germany, where a full spectrum of public transport modes is present, and Hamburg, Germany, where there is a performance gap between heavy rail and buses, accessibility outcomes are discussed. Alongside "alternative history" scenarios concerning the hypothetical retention of trams in Hamburg and full closure of the system in Munich, it is shown that the absence of an intermediate mode in Hamburg's actual network has a significant detrimental effect on the resilience of the public transport system compared to its Bavarian counterpart as well as to other international cities.

Funding

Spatial network analysis for multimodal urban transport systems: a planning decision support tool

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.5038/2375-0901.19.4.7
  2. 2.
    ISSN - Is published in 1077291X

Journal

Journal of Public Transportation

Volume

19

Issue

4

Start page

107

End page

125

Total pages

19

Publisher

University of South Florida

Place published

United States

Language

English

Copyright

© 2016 University of South Florida. All rights reserved

Former Identifier

2006074206

Esploro creation date

2020-06-22

Fedora creation date

2017-06-07

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