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Territorial distinction between transit and automobile topologies

Territorial distinction between transit and automobile topologies Technological development of motorised transport modes has provided a greater reach to consumer markets, labour supply and the needs of the supply chain. However, this increase in mobility is limited by the infrastructure required and results in sociospatial inequalities that contrast with the relative isonomy previously provided by non-motorised transport. This paper focuses on investigating the disparity that also occurs according to each mode: transit needs specific routes, while cars use practically all streets within urban areas. By using street network data and designing a topological model that represents specific characteristics of a transit network, travel times matrices between small geographic units were determined to derive thirty-four heat maps, depicting different indices regarding closeness centrality. Each index referred to one of two modes, transit or car, and one of seventeen territorial extents, differing by travel time limits from the source place. Cluster analysis allowed determining objects of interest in the study area, with less transit coverage or more relative advantage for private transport. Results show how the ubiquitous presence of road infrastructure in modern urban space affects mobility. While differences between local and long-distance transit are relevant, divergences between different territorial-bound road network indices are milder. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Spatial Analysis and Policy Springer Journals

Territorial distinction between transit and automobile topologies

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References (74)

Publisher
Springer Journals
Copyright
Copyright © Springer Nature B.V. 2020
ISSN
1874-463X
eISSN
1874-4621
DOI
10.1007/s12061-020-09351-6
Publisher site
See Article on Publisher Site

Abstract

Technological development of motorised transport modes has provided a greater reach to consumer markets, labour supply and the needs of the supply chain. However, this increase in mobility is limited by the infrastructure required and results in sociospatial inequalities that contrast with the relative isonomy previously provided by non-motorised transport. This paper focuses on investigating the disparity that also occurs according to each mode: transit needs specific routes, while cars use practically all streets within urban areas. By using street network data and designing a topological model that represents specific characteristics of a transit network, travel times matrices between small geographic units were determined to derive thirty-four heat maps, depicting different indices regarding closeness centrality. Each index referred to one of two modes, transit or car, and one of seventeen territorial extents, differing by travel time limits from the source place. Cluster analysis allowed determining objects of interest in the study area, with less transit coverage or more relative advantage for private transport. Results show how the ubiquitous presence of road infrastructure in modern urban space affects mobility. While differences between local and long-distance transit are relevant, divergences between different territorial-bound road network indices are milder.

Journal

Applied Spatial Analysis and PolicySpringer Journals

Published: Aug 24, 2020

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