Path-choice-constrained bus bridging design under urban rail transit disruptions
Although urban rail transit systems play a crucial role in urban mobility, they frequently suffer from unexpected disruptions due to power loss, severe weather, equipment failure, and other factors that cause significant disruptions in passenger travel and, in turn, socioeconomic losses. To alleviat...
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sg-smu-ink.sis_research-100352024-07-25T07:59:13Z Path-choice-constrained bus bridging design under urban rail transit disruptions ZHU, Yiyang JIN, Jian Gang WANG, Hai Although urban rail transit systems play a crucial role in urban mobility, they frequently suffer from unexpected disruptions due to power loss, severe weather, equipment failure, and other factors that cause significant disruptions in passenger travel and, in turn, socioeconomic losses. To alleviate the inconvenience of affected passengers, bus bridging services are often provided when rail service has been suspended. Prior research has yielded various methodologies for effective bus bridging services; however, they are mainly based on the strong assumption that passengers must follow predetermined bus bridging routes. Less attention is paid to passengers’ path choice behaviors, which could affect the performance of the bus bridging services deployed. In this paper, we specifically take passengers’ path choice behaviors into account and address the bus bridging optimization problem under urban rail transit disruptions. Incorporating a PS-logit model to estimate the probabilities of passenger path choices, we propose a mixed-integer nonlinear programming model to simultaneously determine the selection of bus bridging routes and vehicle deployment on selected bridging routes, with the objective of minimizing the cost associated with passenger travel time and unsatisfied demand. To solve this computationally challenging large-scale nonlinear model, we design a customized variable neighborhood search algorithm framework. A case study based on the Shanghai rail transit system is conducted to demonstrate the applicability and feasibility of the proposed approach. The results indicate that our approach can provide an effective bus bridging scheme that considers passenger path choice, which facilitates rapid response to rail disruptions. Our scheme substantially outperforms the current bridging designs that do not consider passenger path choice behaviors by significantly reducing the number of unserved passengers. 2024-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9032 info:doi/10.1016/j.tre.2024.103637 https://ink.library.smu.edu.sg/context/sis_research/article/10035/viewcontent/Path_choice_constrainedBusBridging_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Urban rail transit disruption Bus bridging design Path-size logit choice Variable neighborhood search Operations Research, Systems Engineering and Industrial Engineering Theory and Algorithms Transportation |
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Urban rail transit disruption Bus bridging design Path-size logit choice Variable neighborhood search Operations Research, Systems Engineering and Industrial Engineering Theory and Algorithms Transportation ZHU, Yiyang JIN, Jian Gang WANG, Hai Path-choice-constrained bus bridging design under urban rail transit disruptions |
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Although urban rail transit systems play a crucial role in urban mobility, they frequently suffer from unexpected disruptions due to power loss, severe weather, equipment failure, and other factors that cause significant disruptions in passenger travel and, in turn, socioeconomic losses. To alleviate the inconvenience of affected passengers, bus bridging services are often provided when rail service has been suspended. Prior research has yielded various methodologies for effective bus bridging services; however, they are mainly based on the strong assumption that passengers must follow predetermined bus bridging routes. Less attention is paid to passengers’ path choice behaviors, which could affect the performance of the bus bridging services deployed. In this paper, we specifically take passengers’ path choice behaviors into account and address the bus bridging optimization problem under urban rail transit disruptions. Incorporating a PS-logit model to estimate the probabilities of passenger path choices, we propose a mixed-integer nonlinear programming model to simultaneously determine the selection of bus bridging routes and vehicle deployment on selected bridging routes, with the objective of minimizing the cost associated with passenger travel time and unsatisfied demand. To solve this computationally challenging large-scale nonlinear model, we design a customized variable neighborhood search algorithm framework. A case study based on the Shanghai rail transit system is conducted to demonstrate the applicability and feasibility of the proposed approach. The results indicate that our approach can provide an effective bus bridging scheme that considers passenger path choice, which facilitates rapid response to rail disruptions. Our scheme substantially outperforms the current bridging designs that do not consider passenger path choice behaviors by significantly reducing the number of unserved passengers. |
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text |
author |
ZHU, Yiyang JIN, Jian Gang WANG, Hai |
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ZHU, Yiyang JIN, Jian Gang WANG, Hai |
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ZHU, Yiyang |
title |
Path-choice-constrained bus bridging design under urban rail transit disruptions |
title_short |
Path-choice-constrained bus bridging design under urban rail transit disruptions |
title_full |
Path-choice-constrained bus bridging design under urban rail transit disruptions |
title_fullStr |
Path-choice-constrained bus bridging design under urban rail transit disruptions |
title_full_unstemmed |
Path-choice-constrained bus bridging design under urban rail transit disruptions |
title_sort |
path-choice-constrained bus bridging design under urban rail transit disruptions |
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Institutional Knowledge at Singapore Management University |
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2024 |
url |
https://ink.library.smu.edu.sg/sis_research/9032 https://ink.library.smu.edu.sg/context/sis_research/article/10035/viewcontent/Path_choice_constrainedBusBridging_av.pdf |
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