Assessing the dynamic resilience of Urban Rail Transit Networks during their evolution using a ridership-weighted network.
| Title: | Assessing the dynamic resilience of Urban Rail Transit Networks during their evolution using a ridership-weighted network. |
|---|---|
| Authors: | Tian, Tian1 (AUTHOR) 2017021074@chd.edu.cn, Liang, Yichen1 (AUTHOR), Peng, Zhipeng2 (AUTHOR), Cheng, Yanqiu1 (AUTHOR), Chen, Kuanmin1 (AUTHOR) |
| Source: | PLoS ONE. 9/21/2023, Vol. 18 Issue 9, p1-22. 22p. |
| Subject Terms: | *PUBLIC transit ridership, *PUBLIC spaces, *CYCLING accidents, *NETWORK performance, *IDENTIFICATION |
| Geographic Terms: | XI'AN Shi (China) |
| Abstract: | The assessment of the resilience of Urban Rail Transit Networks (URTNs) and the analysis of their evolutionary characteristics during network growth can help in the design of efficient, safe, and sustainable networks. However, there have been few studies regarding the change of resilience in long-term network development. As for the existing resilience studies, they rarely consider the entire cycle of accident occurrence and repair; furthermore, they ignore the changes in network transportation performance during emergencies. Moreover, the measurement metrics of the important nodes have not been comprehensively considered. Therefore, to remedy these deficiencies, this paper proposes a URTN dynamic resilience assessment model that integrates the entire cycle of incident occurrence and repair, and introduces the network transport effectiveness index E(Gw) to quantitatively assess the network resilience. In addition, a weighted comprehensive identification method of the important nodes (the WH method) is proposed. The application considers the Xi'an urban rail transit network (XURTN) during 2011–2021. The obtained results identify the resilience evolutionary characteristics during network growth. And longer peripheral lines negatively affect the resilience of XURTN during both the attack and the repair processes. The central city network improves the damage index Rdam and the recovery index Rrec by up to 123.46% and 11.65%, respectively, over the overall network. In addition, the WH method can comprehensively and accurately identify the important nodes in the network and their evolutionary characteristics. Compared to the single-factor and topological strategies, the Rdam is 1.17%~178.89% smaller and the Rrec is 1.68%~84.81% larger under the WH strategy. Therefore, this method improves the accuracy of the important node identification. Overall, the insights from this study can provide practical and scientific references for the synergistic development of URTN and urban space, the enhancement of network resilience, and the protection and restoration of important nodes. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessing the dynamic resilience of Urban Rail Transit Networks during their evolution using a ridership-weighted network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tian%2C+Tian%22">Tian, Tian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 2017021074@chd.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Yichen%22">Liang, Yichen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peng%2C+Zhipeng%22">Peng, Zhipeng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheng%2C+Yanqiu%22">Cheng, Yanqiu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Kuanmin%22">Chen, Kuanmin</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 9/21/2023, Vol. 18 Issue 9, p1-22. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22PUBLIC+transit+ridership%22">PUBLIC transit ridership</searchLink><br />*<searchLink fieldCode="DE" term="%22PUBLIC+spaces%22">PUBLIC spaces</searchLink><br />*<searchLink fieldCode="DE" term="%22CYCLING+accidents%22">CYCLING accidents</searchLink><br />*<searchLink fieldCode="DE" term="%22NETWORK+performance%22">NETWORK performance</searchLink><br />*<searchLink fieldCode="DE" term="%22IDENTIFICATION%22">IDENTIFICATION</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22XI'AN+Shi+%28China%29%22">XI'AN Shi (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The assessment of the resilience of Urban Rail Transit Networks (URTNs) and the analysis of their evolutionary characteristics during network growth can help in the design of efficient, safe, and sustainable networks. However, there have been few studies regarding the change of resilience in long-term network development. As for the existing resilience studies, they rarely consider the entire cycle of accident occurrence and repair; furthermore, they ignore the changes in network transportation performance during emergencies. Moreover, the measurement metrics of the important nodes have not been comprehensively considered. Therefore, to remedy these deficiencies, this paper proposes a URTN dynamic resilience assessment model that integrates the entire cycle of incident occurrence and repair, and introduces the network transport effectiveness index E(Gw) to quantitatively assess the network resilience. In addition, a weighted comprehensive identification method of the important nodes (the WH method) is proposed. The application considers the Xi'an urban rail transit network (XURTN) during 2011–2021. The obtained results identify the resilience evolutionary characteristics during network growth. And longer peripheral lines negatively affect the resilience of XURTN during both the attack and the repair processes. The central city network improves the damage index Rdam and the recovery index Rrec by up to 123.46% and 11.65%, respectively, over the overall network. In addition, the WH method can comprehensively and accurately identify the important nodes in the network and their evolutionary characteristics. Compared to the single-factor and topological strategies, the Rdam is 1.17%~178.89% smaller and the Rrec is 1.68%~84.81% larger under the WH strategy. Therefore, this method improves the accuracy of the important node identification. Overall, the insights from this study can provide practical and scientific references for the synergistic development of URTN and urban space, the enhancement of network resilience, and the protection and restoration of important nodes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0291639 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Subjects: – SubjectFull: XI'AN Shi (China) Type: general – SubjectFull: PUBLIC transit ridership Type: general – SubjectFull: PUBLIC spaces Type: general – SubjectFull: CYCLING accidents Type: general – SubjectFull: NETWORK performance Type: general – SubjectFull: IDENTIFICATION Type: general Titles: – TitleFull: Assessing the dynamic resilience of Urban Rail Transit Networks during their evolution using a ridership-weighted network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tian, Tian – PersonEntity: Name: NameFull: Liang, Yichen – PersonEntity: Name: NameFull: Peng, Zhipeng – PersonEntity: Name: NameFull: Cheng, Yanqiu – PersonEntity: Name: NameFull: Chen, Kuanmin IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 09 Text: 9/21/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: PLoS ONE Type: main |
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