Space evolution model and empirical analysis of an urban public transport network

Yi Sui, Feng-jing Shao, Ren-cheng Sun and Shu-jing Li

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 14, 3708-3717

Abstract: This study explores the space evolution of an urban public transport network, using empirical evidence and a simulation model validated on that data. Public transport patterns primarily depend on traffic spatial-distribution, demands of passengers and expected utility of investors. Evolution is an iterative process of satisfying the needs of passengers and investors based on a given traffic spatial-distribution. The temporal change of urban public transport network is evaluated both using topological measures and spatial ones. The simulation model is validated using empirical data from nine big cities in China. Statistical analyses on topological and spatial attributes suggest that an evolution network with traffic demands characterized by power-law numerical values which distribute in a mode of concentric circles tallies well with these nine cities.

Keywords: Urban public transport network model; Spatial network; Traffic spatial-distribution (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:14:p:3708-3717

DOI: 10.1016/j.physa.2012.01.011

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