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      Network Centrality of Metro Systems

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      PLoS ONE
      Public Library of Science

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          Abstract

          Whilst being hailed as the remedy to the world’s ills, cities will need to adapt in the 21 st century. In particular, the role of public transport is likely to increase significantly, and new methods and technics to better plan transit systems are in dire need. This paper examines one fundamental aspect of transit: network centrality. By applying the notion of betweenness centrality to 28 worldwide metro systems, the main goal of this paper is to study the emergence of global trends in the evolution of centrality with network size and examine several individual systems in more detail. Betweenness was notably found to consistently become more evenly distributed with size (i.e. no “winner takes all”) unlike other complex network properties. Two distinct regimes were also observed that are representative of their structure. Moreover, the share of betweenness was found to decrease in a power law with size (with exponent 1 for the average node), but the share of most central nodes decreases much slower than least central nodes (0.87 vs. 2.48). Finally the betweenness of individual stations in several systems were examined, which can be useful to locate stations where passengers can be redistributed to relieve pressure from overcrowded stations. Overall, this study offers significant insights that can help planners in their task to design the systems of tomorrow, and similar undertakings can easily be imagined to other urban infrastructure systems (e.g., electricity grid, water/wastewater system, etc.) to develop more sustainable cities.

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          Most cited references49

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          Communication Patterns in Task‐Oriented Groups

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            Betweenness centrality in large complex networks

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              Network Structure and City Size

              Network structure varies across cities. This variation may yield important knowledge about how the internal structure of the city affects its performance. This paper systematically compares a set of surface transportation network structure variables (connectivity, hierarchy, circuity, treeness, entropy, accessibility) across the 50 largest metropolitan areas in the United States. A set of scaling parameters are discovered to show how network size and structure vary with city size. These results suggest that larger cities are physically more inter-connected. Hypotheses are presented as to why this might obtain. This paper then consistently measures and ranks access to jobs across 50 US metropolitan areas. It uses that accessibility measure, along with network structure variables and city size to help explain journey-to-work time and auto mode share in those cities. A 1 percent increase in accessibility reduces average metropolitan commute times by about 90 seconds each way. A 1 percent increase in network connectivity reduces commute time by 0.1 percent. A 1 percent increase in accessibility results in a 0.0575 percent drop in auto mode share, while a 1 percent increase in treeness reduces auto mode share by 0.061 percent. Use of accessibility and network structure measures is important for planning and evaluating the performance of network investments and land use changes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                6 July 2012
                : 7
                : 7
                : e40575
                Affiliations
                [1]Future Urban Mobility Inter-Disciplinary Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
                Umeå University, Sweden
                Author notes

                Conceived and designed the experiments: SD. Performed the experiments: SD. Analyzed the data: SD. Contributed reagents/materials/analysis tools: SD. Wrote the paper: SD.

                Article
                PONE-D-12-08716
                10.1371/journal.pone.0040575
                3391279
                22792373
                12dbacfd-1ada-4165-a17e-c9f1c5495c08
                Sybil Derrible. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 26 March 2012
                : 12 June 2012
                Page count
                Pages: 10
                Categories
                Research Article
                Biology
                Ecology
                Industrial Ecology
                Engineering
                Civil Engineering
                Industrial Engineering
                Management Engineering
                Management Planning and Control
                Network Analysis (Management)
                Systems Engineering
                Mathematics
                Applied Mathematics
                Complex Systems
                Physics
                Statistical Mechanics
                Social and Behavioral Sciences
                Sociology
                Social Networks

                Uncategorized
                Uncategorized

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