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

Bibliographic Data

ID22033151
AuthorsWentao Yu (0000-0003-3989-8949, Beijing Jiaotong University), Huijun Sun (0000-0002-8537-556X, Beijing Jiaotong University, corresponding author), Tao Feng (0009-0009-7262-1432, Hiroshima University), Jianjun Wu (0000-0002-3762-0065, Beijing Jiaotong University), Ying Lv (0000-0001-5387-0657, Beijing Jiaotong University), Guangyu Xin (Beijing Yunxingyu Traffic Technology Ltd., Beijing 100078, China)
Year2021
Volume10
Issue11
Pages758
Publication date2021-11-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10110758
OpenAlexW3211700892
LanguageEN
Citations received1
References cited28

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

Computer security · Multimodal transport · Public transport · Smart card · Transport engineering · Computer Science · Engineering · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility

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    Open Access•Jie Chen, Jianhua Ni et al.•Journal of Transport Geography•2017

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    Open Access•Maria Salonen, Tuuli Toivonen•Journal of Transport Geography•2013

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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