Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model
During the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. This paper proposes the passenger-fl...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/5548956 |
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| _version_ | 1832550135250288640 |
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| author | Shaojie Wu Yan Zhu Ning Li Yizeng Wang Xingju Wang Daniel Jian Sun |
| author_facet | Shaojie Wu Yan Zhu Ning Li Yizeng Wang Xingju Wang Daniel Jian Sun |
| author_sort | Shaojie Wu |
| collection | DOAJ |
| description | During the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. This paper proposes the passenger-flow-weighted network reliability evaluation indexes, to assess the impact of passenger flows on network reliability. The reliability performances of the rail transit network and passenger-flow-weighted one are analyzed from the perspective of a complex network. The actual passenger flow weight of urban transit network nodes was obtained from the Shanghai Metro public transportation card data, which were used to assess the reliability of the passenger-flow-weighted network. Furthermore, the dynamic model of the Shanghai urban rail transit network was constructed based on the coupled map lattice (CML) model. Then, the processes of cascading failure caused by network nodes under different destructive situations were simulated, to measure the changes of passenger-flow-weighted network reliability during the processes. The results indicate that when the scale of network damage attains 50%, the reliability of the passenger-flow-weighted network approaches zero. Consequently, taking countermeasures during the initial stage of network cascading may effectively prevent the disturbances from spreading in the network. The results of the paper could provide guidelines for operation management, as well as identify the unreliable stations within passenger-flow-weighted networks. |
| format | Article |
| id | doaj-art-48191c564db7411bb6769c9933a54a10 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-48191c564db7411bb6769c9933a54a102025-02-03T06:07:40ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/55489565548956Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice ModelShaojie Wu0Yan Zhu1Ning Li2Yizeng Wang3Xingju Wang4Daniel Jian Sun5State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaUlanqab Vocational College, Ulanqab 012000, Inner Mongolia, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai, 200444, ChinaTransportation School, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, ChinaSmart City and Intelligent Transportation (SCIT) Center, School of Design, Shanghai Jiao Tong University, Shanghai 200240, ChinaDuring the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. This paper proposes the passenger-flow-weighted network reliability evaluation indexes, to assess the impact of passenger flows on network reliability. The reliability performances of the rail transit network and passenger-flow-weighted one are analyzed from the perspective of a complex network. The actual passenger flow weight of urban transit network nodes was obtained from the Shanghai Metro public transportation card data, which were used to assess the reliability of the passenger-flow-weighted network. Furthermore, the dynamic model of the Shanghai urban rail transit network was constructed based on the coupled map lattice (CML) model. Then, the processes of cascading failure caused by network nodes under different destructive situations were simulated, to measure the changes of passenger-flow-weighted network reliability during the processes. The results indicate that when the scale of network damage attains 50%, the reliability of the passenger-flow-weighted network approaches zero. Consequently, taking countermeasures during the initial stage of network cascading may effectively prevent the disturbances from spreading in the network. The results of the paper could provide guidelines for operation management, as well as identify the unreliable stations within passenger-flow-weighted networks.http://dx.doi.org/10.1155/2021/5548956 |
| spellingShingle | Shaojie Wu Yan Zhu Ning Li Yizeng Wang Xingju Wang Daniel Jian Sun Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model Journal of Advanced Transportation |
| title | Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model |
| title_full | Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model |
| title_fullStr | Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model |
| title_full_unstemmed | Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model |
| title_short | Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model |
| title_sort | urban rail transit system network reliability analysis based on a coupled map lattice model |
| url | http://dx.doi.org/10.1155/2021/5548956 |
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