A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks

One of the top concerns for travelers when choosing public transportation is whether they can reach their destination in limited time and monetary cost on the basis of ensured reliability. However, the existing literature shows no studies on how to evaluate bi-objective multimodal accessibility unde...

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Autores principales:	Wentao Yu, Huijun Sun, Tao Feng, Jianjun Wu, Ying Lv, Guangyu Xin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multimodal public transportation accessibility big data reliability bi-objective super network Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/09d445e478c14aba882e535742f6cf52
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spelling	oai:doaj.org-article:09d445e478c14aba882e535742f6cf522021-11-25T17:53:02ZA Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks10.3390/ijgi101107582220-9964https://doaj.org/article/09d445e478c14aba882e535742f6cf522021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/758https://doaj.org/toc/2220-9964One of the top concerns for travelers when choosing public transportation is whether they can reach their destination in limited time and monetary cost on the basis of ensured reliability. However, the existing literature shows no studies on how to evaluate bi-objective multimodal accessibility under travel time uncertainty. In order to fill this research gap, this paper creates a multimodal super network based on smart card data in which the transfers among taxi, bus, and subway modes are developed and applied. Next, we propose a two-stage opportunity accessibility model to calculate bi-objective multimodal accessibility under travel time uncertainty. Then we propose a multimodal reliability path finding model and a reliability boundary convergence algorithm to solve this problem. Finally, we conduct a large-scale real-world case study. It is found that the impedance heterogeneity between different modes is significant, and multimodal travel has better accessibility than a unimodal one. Although multimodal accessibility decreases as the reliability increases, the advantage of multimodal over unimodal accessibility increases with reliability, and it can be improved up to 14.61% by multimodal transfers. This model can effectively guide traffic management departments to improve traffic accessibility in terms of time and cost and advise commuters to choose living places.Wentao YuHuijun SunTao FengJianjun WuYing LvGuangyu XinMDPI AGarticlemultimodalpublic transportation accessibilitybig datareliabilitybi-objectivesuper networkGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 758, p 758 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multimodal public transportation accessibility big data reliability bi-objective super network Geography (General) G1-922
spellingShingle	multimodal public transportation accessibility big data reliability bi-objective super network Geography (General) G1-922 Wentao Yu Huijun Sun Tao Feng Jianjun Wu Ying Lv Guangyu Xin A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks
description	One of the top concerns for travelers when choosing public transportation is whether they can reach their destination in limited time and monetary cost on the basis of ensured reliability. However, the existing literature shows no studies on how to evaluate bi-objective multimodal accessibility under travel time uncertainty. In order to fill this research gap, this paper creates a multimodal super network based on smart card data in which the transfers among taxi, bus, and subway modes are developed and applied. Next, we propose a two-stage opportunity accessibility model to calculate bi-objective multimodal accessibility under travel time uncertainty. Then we propose a multimodal reliability path finding model and a reliability boundary convergence algorithm to solve this problem. Finally, we conduct a large-scale real-world case study. It is found that the impedance heterogeneity between different modes is significant, and multimodal travel has better accessibility than a unimodal one. Although multimodal accessibility decreases as the reliability increases, the advantage of multimodal over unimodal accessibility increases with reliability, and it can be improved up to 14.61% by multimodal transfers. This model can effectively guide traffic management departments to improve traffic accessibility in terms of time and cost and advise commuters to choose living places.
format	article
author	Wentao Yu Huijun Sun Tao Feng Jianjun Wu Ying Lv Guangyu Xin
author_facet	Wentao Yu Huijun Sun Tao Feng Jianjun Wu Ying Lv Guangyu Xin
author_sort	Wentao Yu
title	A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks
title_short	A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks
title_full	A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks
title_fullStr	A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks
title_full_unstemmed	A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks
title_sort	data-based bi-objective approach to explore the accessibility of multimodal public transport networks
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/09d445e478c14aba882e535742f6cf52
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A Data-Based Bi-Objective Approach to Explore the Accessibility of Multimodal Public Transport Networks

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