Bypass Schemes of Urban Transit Station Based on Complex Network Theory
王国娟1,2, 吕文红1, 高歌1, 刘玉洁1
1. School of Transportation, Shandong University of Science and Technology, Qingdao Shandong 266590, China;
2. Suqian Urban Planning and Design Institute Co., Ltd., Suqian Jiangsu 223800, China
Bypass Schemes of Urban Transit Station Based on Complex Network Theory
WANG Guo-juan1,2, Lü Wen-hong1, GAO Ge1, LIU Yu-jie1
1. School of Transportation, Shandong University of Science and Technology, Qingdao Shandong 266590, China;
2. Suqian Urban Planning and Design Institute Co., Ltd., Suqian Jiangsu 223800, China
摘要To study detour scheme after failure of urban transit station, urban transit network model is constructed by considering the reciprocal of urban transit line departure time interval as the weight. In accordance with the characteristics of the traffic flow, the network is studied under different time intervals, namely, morning, evening, and flat rush hours. First, an urban transit network topological characteristic index analysis model was constructed by combining ABC management method to identify the key elements of each indicator. Second, on the basis of the research on topological characteristic indicators, average path length and global efficiency of the network were used to measure the urban transit network connectivity, and an urban transit network station failure optimization scheme was designed. The optimization effect was judged by the changes in the two index values before and after the bus stop detour in accordance with the number of stations in the bypass area, namely, two stations, one station, and zero stations. Finally, the reliability of the model is studied, considering the urban transit network in Huangdao District of Qingdao. Through the analysis of node degree, second-order node degree, centrality, and other indicators, the urban transit network in Huangdao District of Qingdao was found to have evident small-world characteristics, and the top ranking stations of node degree value and centrality index are mainly distributed in the new urban edge planning area and the urban center area. In addition, for stations with the same rank, the node centrality value at each time interval has the following order:morning rush hours> evening rush hours> flat rush hours. The top 10 urban transit stations with node degree value are selected as the failure stations for optimization analysis. Results show that the average shortest path length of the optimized network decreases, the global efficiency of the network increases, and the optimized scheme is reliable.
Abstract：To study detour scheme after failure of urban transit station, urban transit network model is constructed by considering the reciprocal of urban transit line departure time interval as the weight. In accordance with the characteristics of the traffic flow, the network is studied under different time intervals, namely, morning, evening, and flat rush hours. First, an urban transit network topological characteristic index analysis model was constructed by combining ABC management method to identify the key elements of each indicator. Second, on the basis of the research on topological characteristic indicators, average path length and global efficiency of the network were used to measure the urban transit network connectivity, and an urban transit network station failure optimization scheme was designed. The optimization effect was judged by the changes in the two index values before and after the bus stop detour in accordance with the number of stations in the bypass area, namely, two stations, one station, and zero stations. Finally, the reliability of the model is studied, considering the urban transit network in Huangdao District of Qingdao. Through the analysis of node degree, second-order node degree, centrality, and other indicators, the urban transit network in Huangdao District of Qingdao was found to have evident small-world characteristics, and the top ranking stations of node degree value and centrality index are mainly distributed in the new urban edge planning area and the urban center area. In addition, for stations with the same rank, the node centrality value at each time interval has the following order:morning rush hours> evening rush hours> flat rush hours. The top 10 urban transit stations with node degree value are selected as the failure stations for optimization analysis. Results show that the average shortest path length of the optimized network decreases, the global efficiency of the network increases, and the optimized scheme is reliable.
基金资助:Supported by the Young Scientists Fund of the National Natural Science Foundation of China(No.71801144); the Key Research & Development Projects of Science and Technology in Shandong Province(No. 2019GGX101008)
通讯作者:
WANG Guo-juan
E-mail: 2712128025@qq.com
引用本文:
王国娟, 吕文红, 高歌, 刘玉洁. Bypass Schemes of Urban Transit Station Based on Complex Network Theory[J]. Journal of Highway and Transportation Research and Development, 2021, 15(1): 68-80.
WANG Guo-juan, Lü Wen-hong, GAO Ge, LIU Yu-jie. Bypass Schemes of Urban Transit Station Based on Complex Network Theory. Journal of Highway and Transportation Research and Development, 2021, 15(1): 68-80.
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2021, Vol. 15 
