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dc.contributor.authorZhenjun Zhu
dc.contributor.authorYiqing Xu
dc.contributor.authorYudong He
dc.contributor.authorHuang Hui
dc.contributor.authorBaorui Han
dc.contributor.authorQing Li
dc.date.accessioned2024-12-24T10:05:49Z
dc.date.available2024-12-24T10:05:49Z
dc.date.copyright8/1/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.otherJTEPBS.TEENG-8209.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298291
dc.description.abstractPark-and-ride (P&R) facilities, when combined with the advantages of urban rail transit, have the potential to alleviate congestion problems and promote multimodal transportation. However, some facilities face operational and utilization issues in terms of efficiency and capacity, which may not fully meet users’ needs. Therefore, it is essential to conduct research that addresses challenges related to user parking and facility operation. A critical step in this direction is to study relevant indicators that comprehensively measure the operational efficiency and capacity of the facilities, and to find effective methods to tackle problems in P&R operation. This study examined and selected data indicators for P&R facilities around targeted stations, taking those around Nanjing urban rail transit stations as an example. Data envelopment analysis was employed to establish a P&R operational efficiency and capacity evaluation model. This model was enriched with a comprehensive evaluation of multiple factors that affect P&R, with these factors significantly influencing the recorded evaluation results. By identifying operational issues in P&R facilities around Nanjing urban rail transit stations, this study proposed optimization solutions to enhance their operational efficiency and capacity. The findings can serve as a reference for the coordinated development of P&R facilities and urban rail transit.
dc.publisherAmerican Society of Civil Engineers
dc.titleEvaluating Operational Efficiency and Capacity of Park-and-Ride Facilities around Urban Rail Transit Stations Using Data Envelopment Analysis
dc.typeJournal Article
dc.journal.volume150
dc.journal.issue8
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-8209
dc.journal.fristpage04024039-1
dc.journal.lastpage04024039-7
dc.page7
dc.treeJournal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 008
dc.contenttypeFulltext


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