Network Centrality of Metro Systems

被引:116
作者
Derrible, Sybil [1 ]
机构
[1] Singapore MIT Alliance Res & Technol, Future Urban Mobil Interdisciplinary Grp, Singapore, Singapore
来源
PLOS ONE | 2012年 / 7卷 / 07期
关键词
TRANSPORT; GROWTH; SUBWAY;
D O I
10.1371/journal.pone.0040575
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Whilst being hailed as the remedy to the world's ills, cities will need to adapt in the 21st 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.
引用
收藏
页数:10
相关论文
共 56 条
[1]  
[Anonymous], 2011, National Geographic Magazine, ed
[2]  
[Anonymous], 2010, NodeXL: a free and open network overview, discovery and exploration add-in for Excel
[3]  
[Anonymous], 2006, The structure and dynamics of networks
[4]  
[Anonymous], J ROYAL SOC INTERFAC
[5]  
APTA, 2011, POT IMP GAS PRIC INC
[6]   Topology of the fittest transportation network [J].
Banavar, JR ;
Colaiori, F ;
Flammini, A ;
Maritan, A ;
Rinaldo, A .
PHYSICAL REVIEW LETTERS, 2000, 84 (20) :4745-4748
[7]   Betweenness centrality in large complex networks [J].
Barthélemy, M .
EUROPEAN PHYSICAL JOURNAL B, 2004, 38 (02) :163-168
[8]  
Batty M., 2005, CITIES COMPLEXITY UN
[9]  
Bavelas A., 1950, J ACOUST SOC AM, V22, P725, DOI DOI 10.1121/1.1906679
[10]  
Bavelas A, 1948, APPL ANTHROPOL, V7, pA16