Evaluating Operational Efficiency and Capacity of Park-and-Ride Facilities around Urban Rail Transit Stations Using Data Envelopment Analysis
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 150, Issue 8
Abstract
Park-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.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study was funded by the Scientific Research Foundation for Advanced Talents of Nanjing Forestry University (Grant No. 163106041); the General Project of Philosophy and Social Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No. 2020SJA0125); and the Postgraduate Research and Practice Innovation Program of Jiangsu Province (Grant No. KYCX23_1155).
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Journal of Transportation Engineering, Part A: Systems
Volume 150 • Issue 8 • August 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jul 31, 2023
Accepted: Oct 26, 2023
Published online: May 21, 2024
Published in print: Aug 1, 2024
Discussion open until: Oct 21, 2024
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