Abstract
As urban metro network is generally referred as a significant component of the modem urban transport system, the spatiotemporal evolution of spatial layout and topology structure of the network should be investigated and evaluated in order to promote urban transport services and optimize urban spatial pattern. This paper takes a case study of the city of Guangzhou, China, and applies the complex network theory and integrates geography information system (GIS) to explore and discuss the growth and topological structure characteristics of the Guangzhou metro network. Importantly, this paper focuses on accessing the formation process of the topology structure of the Guangzhou metro network from 1997 to 2016 on the basis of spatio-temporal sequence data analysis. This aims to provide scientific references for the future development and planning of urban metro network in China.
Highlights
With the rapid development of urban metro network for decades especially in China, the spatial structure of metro network evolves gradually from simple line crossing, grid, radial to complex patterns, the traditional quantitative evaluation of network topology is difficult to meet the complexity and dynamic measurement requirements by using network coverage and nodal connectivity [1].Currently, the complex network theory has been increasingly deepening in the fields of ecology, economy and social network, obviously is widely applied in transport network analysis and modelling
This paper focuses on exploring the formation process of the Guangzhou metro network from 1997 to 2016, especially discussing the complexity and evolution of network topology structure based on time series data analysis
In 2006, the value of β and μ increased to 1.02 and 2, respectively. This shows the network topology structure began to evolve from a tree structure to a loop structure, indicating the networking was completed
Summary
With the rapid development of urban metro network for decades especially in China, the spatial structure of metro network evolves gradually from simple line crossing, grid, radial to complex patterns, the traditional quantitative evaluation of network topology is difficult to meet the complexity and dynamic measurement requirements by using network coverage and nodal connectivity [1]. Many Chinese scholars have made rich achievements in urban transport network analysis and modelling based on complex network theory These studies mainly aim to calculate the essential topological parameters such as average path length, clustering efficient, node degree distribution, node closeness or betweenness centrality, in order to explore the complexity of transport network, and to evaluate the network efficiency and performance, including reliability, robustness and invulnerability [10,11,12,13]. This paper focuses on exploring the formation process of the Guangzhou metro network from 1997 to 2016, especially discussing the complexity and evolution of network topology structure based on time series data analysis
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