Characterizing metro networks: state, form, and structure

The broad goal of this paper is to characterize the network feature of metro systems. By looking at 33 metro systems in the world, we adapt various concepts of graph theory to describe characteristics of State, Form and Structure; these three characteristics are defined using new or existing network indicators. State measures the complexity of a network; we identify three phases in the development of transit networks, with mature systems being 66% completely connected. Form investigates the link between metro systems and the built environment, distinguishing networks oriented towards regional accessibility, local coverage or regional coverage. Structure examines the intrinsic properties of current networks; indicators of connectivity and directness are formulated. The method presented is this paper should be taken as a supplement to traditional planning factors such as demand, demography, geography, costs, etc. It is particularly useful at the strategic planning phase as it offers information on current and planned systems, which can then be used towards setting a vision, defining new targets and making decision between various scenarios; it can also be used to compare existing systems. We also link the three characteristics to transit line type and land-use; overall the presence of tangential and/or (semi)-circumferential lines may be key. In addition, we have been able to identify paths of development, which should be strongly considered in future projects.

[1]  Giuseppe Avondo Bodino,et al.  Economic applications of the theory of graphs , 1962 .

[2]  Duane F. Marble,et al.  THE STRUCTURE OF TRANSPORTATION NETWORKS , 1962 .

[3]  Claude Berge,et al.  The theory of graphs and its applications , 1962 .

[4]  G. Tintner,et al.  Economic Applications of the Theory of Graphs. , 1963 .

[5]  William L. Garrison,et al.  Factor-analytic study of the connectivity of a transportation network , 1964 .

[6]  K. Kansky Structure of transportation networks : relationships between network geometry and regional characteristics , 1967 .

[7]  E. Morlok An analysis of transport technology and network structure , 1967 .

[8]  J. Haldane,et al.  Science and Everyday Life , 1975 .

[9]  R. Bon Allometry in topologic structure of transportation networks , 1979 .

[10]  T M Lam,et al.  PUBLIC TRANSIT CONNECTIVITY. VOLUME 2 , 1981 .

[11]  Tenny N Lam,et al.  CONNECTIVITY INDEX FOR SYSTEMWIDE TRANSIT ROUTE AND SCHEDULE PERFORMANCE , 1982 .

[12]  Vukan R Vuchic,et al.  CHARACTERISTICS OF METRO NETWORKS AND METHODOLOGY FOR THEIR EVALUATION , 1988 .

[13]  Vukan R Vuchic,et al.  THEORY AND PRACTICE OF METRO NETWORK DESIGN , 1991 .

[14]  R. Cervero The Transit Metropolis: A Global Inquiry , 1998 .

[15]  William R. Black Transportation: A Geographical Analysis , 2003 .

[16]  Albert-László Barabási,et al.  Linked - how everything is connected to everything else and what it means for business, science, and everyday life , 2003 .

[17]  Duncan J. Watts,et al.  Six Degrees: The Science of a Connected Age , 2003 .

[18]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[19]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .

[20]  Domenico Gattuso,et al.  Compared Analysis of Metro Networks Supported by Graph Theory , 2005 .

[21]  Dong Jiyang,et al.  Algorithm for the Optimal Riding Scheme Problem in Public traffic , 2005, 2005 International Conference on Neural Networks and Brain.

[22]  Vukan R Vuchic,et al.  Urban Transit : Operations, Planning and Economics , 2005 .

[23]  William L. Garrison,et al.  FACTOR-ANALYTIC STUDY OF THE CONNKCTIVITY OF A TRANSPORTATION NETWORK* , 2005 .

[24]  S. Derrible,et al.  Network Analysis of World Subway Systems Using Updated Graph Theory , 2009 .