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Optimizing a desirable fare structure for a bus-subway corridor

This paper aims to optimize a desirable fare structure for the public transit service along a bus-subway corridor with the consideration of those factors related to equity in trip, including travel distance and comfort level. The travel distance factor is represented by the distance-based fare strat...

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Autores principales: Liu, Bing-Zheng, Ge, Ying-En, Cao, Kai, Jiang, Xi, Meng, Lingyun, Liu, Ding, Gao, Yunfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628816/
https://www.ncbi.nlm.nih.gov/pubmed/28981508
http://dx.doi.org/10.1371/journal.pone.0184815
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author Liu, Bing-Zheng
Ge, Ying-En
Cao, Kai
Jiang, Xi
Meng, Lingyun
Liu, Ding
Gao, Yunfeng
author_facet Liu, Bing-Zheng
Ge, Ying-En
Cao, Kai
Jiang, Xi
Meng, Lingyun
Liu, Ding
Gao, Yunfeng
author_sort Liu, Bing-Zheng
collection PubMed
description This paper aims to optimize a desirable fare structure for the public transit service along a bus-subway corridor with the consideration of those factors related to equity in trip, including travel distance and comfort level. The travel distance factor is represented by the distance-based fare strategy, which is an existing differential strategy. The comfort level one is considered in the area-based fare strategy which is a new differential strategy defined in this paper. Both factors are referred to by the combined fare strategy which is composed of distance-based and area-based fare strategies. The flat fare strategy is applied to determine a reference level of social welfare and obtain the general passenger flow along transit lines, which is used to divide areas or zones along the corridor. This problem is formulated as a bi-level program, of which the upper level maximizes the social welfare and the lower level capturing traveler choice behavior is a variable-demand stochastic user equilibrium assignment model. A genetic algorithm is applied to solve the bi-level program while the method of successive averages is adopted to solve the lower-level model. A series of numerical experiments are carried out to illustrate the performance of the models and solution methods. Numerical results indicate that all three differential fare strategies play a better role in enhancing the social welfare than the flat fare strategy and that the fare structure under the combined fare strategy generates the highest social welfare and the largest resulting passenger demand, which implies that the more equity factors a differential fare strategy involves the more desirable fare structure the strategy has.
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spelling pubmed-56288162017-10-20 Optimizing a desirable fare structure for a bus-subway corridor Liu, Bing-Zheng Ge, Ying-En Cao, Kai Jiang, Xi Meng, Lingyun Liu, Ding Gao, Yunfeng PLoS One Research Article This paper aims to optimize a desirable fare structure for the public transit service along a bus-subway corridor with the consideration of those factors related to equity in trip, including travel distance and comfort level. The travel distance factor is represented by the distance-based fare strategy, which is an existing differential strategy. The comfort level one is considered in the area-based fare strategy which is a new differential strategy defined in this paper. Both factors are referred to by the combined fare strategy which is composed of distance-based and area-based fare strategies. The flat fare strategy is applied to determine a reference level of social welfare and obtain the general passenger flow along transit lines, which is used to divide areas or zones along the corridor. This problem is formulated as a bi-level program, of which the upper level maximizes the social welfare and the lower level capturing traveler choice behavior is a variable-demand stochastic user equilibrium assignment model. A genetic algorithm is applied to solve the bi-level program while the method of successive averages is adopted to solve the lower-level model. A series of numerical experiments are carried out to illustrate the performance of the models and solution methods. Numerical results indicate that all three differential fare strategies play a better role in enhancing the social welfare than the flat fare strategy and that the fare structure under the combined fare strategy generates the highest social welfare and the largest resulting passenger demand, which implies that the more equity factors a differential fare strategy involves the more desirable fare structure the strategy has. Public Library of Science 2017-10-05 /pmc/articles/PMC5628816/ /pubmed/28981508 http://dx.doi.org/10.1371/journal.pone.0184815 Text en © 2017 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Bing-Zheng
Ge, Ying-En
Cao, Kai
Jiang, Xi
Meng, Lingyun
Liu, Ding
Gao, Yunfeng
Optimizing a desirable fare structure for a bus-subway corridor
title Optimizing a desirable fare structure for a bus-subway corridor
title_full Optimizing a desirable fare structure for a bus-subway corridor
title_fullStr Optimizing a desirable fare structure for a bus-subway corridor
title_full_unstemmed Optimizing a desirable fare structure for a bus-subway corridor
title_short Optimizing a desirable fare structure for a bus-subway corridor
title_sort optimizing a desirable fare structure for a bus-subway corridor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628816/
https://www.ncbi.nlm.nih.gov/pubmed/28981508
http://dx.doi.org/10.1371/journal.pone.0184815
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