Abstract
Urban public transportation contributes greatly to sustainable urban development. An urban public transportation network is a complex system. It is meaningful for theory and practice to analyze the topological structure of an urban public transportation network and explore the spatial structure of an urban transportation network so as to mitigate and prevent traffic congestion and achieve sustainability. By examining the Xi’an bus network, the degree distribution, average path length, aggregation coefficient, and betweenness centrality of the bus station network were computed using models in complex network theory. The results show that the node degrees of the Xi’an bus network are unevenly distributed and present a polarization diagram with long average path length and high aggregation. A model based on betweenness and its solution method was developed to improve the public transportation network’s sustainability and discuss the possibility of optimizing the sustainability by network analyzing methods.
Highlights
Urban transit transportation plays an important role in the sustainability of the economy, environment, and even the whole society, as it helps to improve traffic resource efficiency and effectively alleviate the contradiction between traffic supply and demand [1,2]
This study looks at the urban transit network’s topology features from the perspective of complexity, measures the hierarchical relationship of nodes in the network, develops an optimization method based on complexity features presenting an effective method to improve the utilization rate of the urban public transport system, cut down traffic congestion, and reduce environmental pollution
The urban transit network’s properties were evaluated by complex network theory and related methods, and the possibility of optimization was formulated as Equations (8)–(20), with a solution procedure
Summary
Urban transit transportation plays an important role in the sustainability of the economy, environment, and even the whole society, as it helps to improve traffic resource efficiency and effectively alleviate the contradiction between traffic supply and demand [1,2]. With the increasing number of private cars, the proportion of transit transportation has declined and been replaced by other modes with low resource utilization ratios. It results in increasing travel time by public transportation and lowering the service level of it. This problem is extremely obvious in China, where the proportion of people choosing public transportation in the world’s major developed cities is between 45% and 60%, while that in China is less than 30% [9]
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