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考虑时间特性的城市群客运网络抗毁性研究
引用本文:李成兵,李云飞,吴鹏.考虑时间特性的城市群客运网络抗毁性研究[J].系统仿真学报,2022,34(9):2037-2045.
作者姓名:李成兵  李云飞  吴鹏
作者单位:内蒙古大学 交通学院,内蒙古  呼和浩特  010070
基金项目:国家自然科学基金(62063023);内蒙古自治区自然科学基金(2019MS05083);内蒙古自治区高等学校科学研究项目(NJZY19013)
摘    要:城市群综合客运网络级联失效抗毁性研究,有助于提高城际出行的安全性及运输效率。为了更加贴近实际情况,基于多层复杂网络理论与实际客流构建城市群综合客运网络模型,以单位时间为步长建立考虑时间特性的客运网络级联失效抗毁性模型,提出时空两维度的评价指标进而分析每个时段的网络情况。以呼包鄂榆城市群为实例,研究结果表明:过载能力调节参数值为1.2时网络抗毁性较强,并且随着过载能力调节参数的加大,对网络抗毁性的改善并不明显;负载调节参数值大于1.2时,网络抗毁性明显变差。

关 键 词:综合运输  时间特性  级联失效  综合客运网络  抗毁性  城市群  
收稿时间:2021-04-07

Study on Invulnerability of Urban Agglomeration Passenger Traffic Network Considering Time Characteristics
Chengbing Li,Yunfei Li,Peng Wu.Study on Invulnerability of Urban Agglomeration Passenger Traffic Network Considering Time Characteristics[J].Journal of System Simulation,2022,34(9):2037-2045.
Authors:Chengbing Li  Yunfei Li  Peng Wu
Institution:School of Transportation, Inner Mongolia University, Hohhot 010070, China
Abstract:The cascading failure invulnerability study of comprehensive passenger transport network in urban agglomeration is helpful to improve the safety and transportation efficiency of intercity travel. In order to be consistent with the actual situation, a comprehensive passenger transport network model for urban agglomerations is constructed based on multi-layer complex network theory and actual passenger flow. The passenger transport network cascading failure invulnerability model considering time characteristics is established with unit time step. The spatial and temporal evaluation indexes are put forward to analyze the network situation in each period. Taking Hu-Bao-E-Yu urban agglomeration as an example, the results show that the network invulnerability is stronger when the overload capacity adjustment parameter value is 1.2, and the improvement of the network invulnerability is not obvious with the increase of the overload capacity adjustment parameter. The network invulnerability becomes significantly worse when the load adjustment parameter value is greater than 1.2.
Keywords:integrated transportation  time characteristics  cascading failure  comprehensive passenger traffic network  invulnerability  urban agglomeration  
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