A Multimodal Passenger-and-Package Sharing Network for Urban Logistics

This paper envisions a multimodal passenger-and-package sharing (PPS) network for urban logistics integrating metro, taxi, and truck. A hub-and-spoke structure is designed including hubs located at metro stations and service stores connected to the hubs. Packages are transported by metro on backbone...

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Main Authors: Yuxiong Ji, Yujing Zheng, Jizhou Zhao, Yu Shen, Yuchuan Du
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/6039032
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author Yuxiong Ji
Yujing Zheng
Jizhou Zhao
Yu Shen
Yuchuan Du
author_facet Yuxiong Ji
Yujing Zheng
Jizhou Zhao
Yu Shen
Yuchuan Du
author_sort Yuxiong Ji
collection DOAJ
description This paper envisions a multimodal passenger-and-package sharing (PPS) network for urban logistics integrating metro, taxi, and truck. A hub-and-spoke structure is designed including hubs located at metro stations and service stores connected to the hubs. Packages are transported by metro on backbone links between the hubs and are carried by taxis or trucks between service stores and hubs, depending on the unit costs of these two modes and capacity constraint of the taxi. A mixed integer linear programming model for hub location problems—fusing the multiassignment p-hub median problem without capacity constraints and the capacitated multiassignment p-hub covering problem—is formulated to optimize the multimodal PPS network. The model is implemented based on the real-world data in Shanghai (China) under a series of scenarios to evaluate the network performance from two perspectives: the number of hubs and the proportion of taxi drivers who are willing to carry packages. The scenarios show that with increased number of hubs, the spatial distribution of hubs disperses from the city center to peripheral areas and more areas can be serviced by taxis. There is, however, a trade-off between the operation cost saved by taxis and the establishment cost of an extra hub. The analysis also presents that if the proportion of taxis willing to carry packages associates with the incentive payments to taxi drivers, an optimal value of incentives exists, by balancing the operation costs of taxis and trucks.
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id doaj-art-047b28a5f1c6444a9264253b8d34e7d8
institution Kabale University
issn 0197-6729
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language English
publishDate 2020-01-01
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record_format Article
series Journal of Advanced Transportation
spelling doaj-art-047b28a5f1c6444a9264253b8d34e7d82025-02-03T01:04:39ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/60390326039032A Multimodal Passenger-and-Package Sharing Network for Urban LogisticsYuxiong Ji0Yujing Zheng1Jizhou Zhao2Yu Shen3Yuchuan Du4Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, ChinaThis paper envisions a multimodal passenger-and-package sharing (PPS) network for urban logistics integrating metro, taxi, and truck. A hub-and-spoke structure is designed including hubs located at metro stations and service stores connected to the hubs. Packages are transported by metro on backbone links between the hubs and are carried by taxis or trucks between service stores and hubs, depending on the unit costs of these two modes and capacity constraint of the taxi. A mixed integer linear programming model for hub location problems—fusing the multiassignment p-hub median problem without capacity constraints and the capacitated multiassignment p-hub covering problem—is formulated to optimize the multimodal PPS network. The model is implemented based on the real-world data in Shanghai (China) under a series of scenarios to evaluate the network performance from two perspectives: the number of hubs and the proportion of taxi drivers who are willing to carry packages. The scenarios show that with increased number of hubs, the spatial distribution of hubs disperses from the city center to peripheral areas and more areas can be serviced by taxis. There is, however, a trade-off between the operation cost saved by taxis and the establishment cost of an extra hub. The analysis also presents that if the proportion of taxis willing to carry packages associates with the incentive payments to taxi drivers, an optimal value of incentives exists, by balancing the operation costs of taxis and trucks.http://dx.doi.org/10.1155/2020/6039032
spellingShingle Yuxiong Ji
Yujing Zheng
Jizhou Zhao
Yu Shen
Yuchuan Du
A Multimodal Passenger-and-Package Sharing Network for Urban Logistics
Journal of Advanced Transportation
title A Multimodal Passenger-and-Package Sharing Network for Urban Logistics
title_full A Multimodal Passenger-and-Package Sharing Network for Urban Logistics
title_fullStr A Multimodal Passenger-and-Package Sharing Network for Urban Logistics
title_full_unstemmed A Multimodal Passenger-and-Package Sharing Network for Urban Logistics
title_short A Multimodal Passenger-and-Package Sharing Network for Urban Logistics
title_sort multimodal passenger and package sharing network for urban logistics
url http://dx.doi.org/10.1155/2020/6039032
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