Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station

This paper aims to improve transfer utility between bike-sharing and subway. For this paper, the transfer costs of three combined travel modes were analyzed, including “Bike-sharing + Subway”, “Walking + Subway” and “Bus + Subway”, and a transfer cost function, including time cost and expense cost,...

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Autores principales: Hongming Zhong, Zijian Liu, Jun Chen, Jun Hao, Wei Wang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f30c961a217f41ea8f558bfefdc9aaea
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spelling oai:doaj.org-article:f30c961a217f41ea8f558bfefdc9aaea2021-11-11T15:14:45ZLayout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station10.3390/app1121101882076-3417https://doaj.org/article/f30c961a217f41ea8f558bfefdc9aaea2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10188https://doaj.org/toc/2076-3417This paper aims to improve transfer utility between bike-sharing and subway. For this paper, the transfer costs of three combined travel modes were analyzed, including “Bike-sharing + Subway”, “Walking + Subway” and “Bus + Subway”, and a transfer cost function, including time cost and expense cost, was constructed. Cluster analysis was carried out on the origin and destination of bike-sharing in the transfer-influenced area. The sum of squares of errors and the service radius were used to verify the clustering results. Then the number of alternative facilities, the location of alternative facilities and the initial number of shared bikes were preliminarily predicted. Based on the initial scheme, a bi-level programming model of facility layout and configuration in bike-sharing was established, with the goal of improving ride volume and reducing the transfer cost and facility-operation costs to optimize the initial facility-allocation scheme. Then a heuristic algorithm was used to solve the model. Finally, a typical subway station was selected as a case, and the configuration process for facilities in bike-sharing is discussed in detail in the paper. The research results of this paper may provide reference for the planning and optimization adjustments of facilities for bike-sharing.Hongming ZhongZijian LiuJun ChenJun HaoWei WangMDPI AGarticlebike-sharingfacility layoutbi-level programming modelsubway stationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10188, p 10188 (2021)
institution DOAJ
collection DOAJ
language EN
topic bike-sharing
facility layout
bi-level programming model
subway station
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle bike-sharing
facility layout
bi-level programming model
subway station
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Hongming Zhong
Zijian Liu
Jun Chen
Jun Hao
Wei Wang
Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station
description This paper aims to improve transfer utility between bike-sharing and subway. For this paper, the transfer costs of three combined travel modes were analyzed, including “Bike-sharing + Subway”, “Walking + Subway” and “Bus + Subway”, and a transfer cost function, including time cost and expense cost, was constructed. Cluster analysis was carried out on the origin and destination of bike-sharing in the transfer-influenced area. The sum of squares of errors and the service radius were used to verify the clustering results. Then the number of alternative facilities, the location of alternative facilities and the initial number of shared bikes were preliminarily predicted. Based on the initial scheme, a bi-level programming model of facility layout and configuration in bike-sharing was established, with the goal of improving ride volume and reducing the transfer cost and facility-operation costs to optimize the initial facility-allocation scheme. Then a heuristic algorithm was used to solve the model. Finally, a typical subway station was selected as a case, and the configuration process for facilities in bike-sharing is discussed in detail in the paper. The research results of this paper may provide reference for the planning and optimization adjustments of facilities for bike-sharing.
format article
author Hongming Zhong
Zijian Liu
Jun Chen
Jun Hao
Wei Wang
author_facet Hongming Zhong
Zijian Liu
Jun Chen
Jun Hao
Wei Wang
author_sort Hongming Zhong
title Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station
title_short Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station
title_full Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station
title_fullStr Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station
title_full_unstemmed Layout Model of Bike-Sharing Facilities in the Transfer-Influenced Area of a Subway Station
title_sort layout model of bike-sharing facilities in the transfer-influenced area of a subway station
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f30c961a217f41ea8f558bfefdc9aaea
work_keys_str_mv AT hongmingzhong layoutmodelofbikesharingfacilitiesinthetransferinfluencedareaofasubwaystation
AT zijianliu layoutmodelofbikesharingfacilitiesinthetransferinfluencedareaofasubwaystation
AT junchen layoutmodelofbikesharingfacilitiesinthetransferinfluencedareaofasubwaystation
AT junhao layoutmodelofbikesharingfacilitiesinthetransferinfluencedareaofasubwaystation
AT weiwang layoutmodelofbikesharingfacilitiesinthetransferinfluencedareaofasubwaystation
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