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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Main Authors: ZHU, Yiyang, JIN, Jian Gang, WANG, Hai
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access: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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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic 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
spellingShingle 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
description 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.
format text
author ZHU, Yiyang
JIN, Jian Gang
WANG, Hai
author_facet ZHU, Yiyang
JIN, Jian Gang
WANG, Hai
author_sort 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
publisher Institutional Knowledge at Singapore Management University
publishDate 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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