Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport

Integration of urban and rural infrastructure is critical to integrating urban and rural public transport. A public transport hub is an important element of infrastructure, and it is the key facilities that serve as transferring points between cities and towns. The location of hub is related to the...

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Main Authors: Wei Zhong, Zhicai Juan, Fang Zong, Huishuang Su
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2018-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718773263
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author Wei Zhong
Zhicai Juan
Fang Zong
Huishuang Su
author_facet Wei Zhong
Zhicai Juan
Fang Zong
Huishuang Su
author_sort Wei Zhong
collection DOAJ
description Integration of urban and rural infrastructure is critical to integrating urban and rural public transport. A public transport hub is an important element of infrastructure, and it is the key facilities that serve as transferring points between cities and towns. The location of hub is related to the convenience of travel for urban and rural residents and the closeness of economic interactions between urban and rural areas. In this article, considering the background of the integration of urban and rural public transport, from the perspective of public transport hubs in urban and central town, a multi-level hub-and-spoke network is designed, and the location of integration of urban and rural public transport hub is determined. Based on the connection associated with central towns and the capacity constraints of hubs and to achieve the minimum total cost, this article proposes a mixed-integer programming model that employs a genetic and tabu search hybrid optimization algorithm to validate and analyze, which used the urban and rural public transport data from a specified area of Shandong province in China. The results indicate that the model can simultaneously determine locations for hubs in cities and central towns while minimizing total cost. The hub capacity constraint significantly influences the location of two-level hubs. The hub capacity constraint in the model can reduce the transportation cost for an entire network and optimize the transportation network. This study on urban and rural public transport hub location in a hub-and-spoke network not only reduces the transportation cost of the network but also completes and supplements the location theory of integration of urban and rural public transport.
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spelling doaj.art-3912611eabdd4c5e88c5d2f71a536dac2023-09-02T02:48:13ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772018-04-011410.1177/1550147718773263Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transportWei Zhong0Zhicai Juan1Fang Zong2Huishuang Su3Yatai School of Business Administration, Jilin University of Finance and Economics, Changchun, P.R. ChinaAntai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, P.R. ChinaSchool of Transportation, Jilin University, Changchun, P.R. ChinaYatai School of Business Administration, Jilin University of Finance and Economics, Changchun, P.R. ChinaIntegration of urban and rural infrastructure is critical to integrating urban and rural public transport. A public transport hub is an important element of infrastructure, and it is the key facilities that serve as transferring points between cities and towns. The location of hub is related to the convenience of travel for urban and rural residents and the closeness of economic interactions between urban and rural areas. In this article, considering the background of the integration of urban and rural public transport, from the perspective of public transport hubs in urban and central town, a multi-level hub-and-spoke network is designed, and the location of integration of urban and rural public transport hub is determined. Based on the connection associated with central towns and the capacity constraints of hubs and to achieve the minimum total cost, this article proposes a mixed-integer programming model that employs a genetic and tabu search hybrid optimization algorithm to validate and analyze, which used the urban and rural public transport data from a specified area of Shandong province in China. The results indicate that the model can simultaneously determine locations for hubs in cities and central towns while minimizing total cost. The hub capacity constraint significantly influences the location of two-level hubs. The hub capacity constraint in the model can reduce the transportation cost for an entire network and optimize the transportation network. This study on urban and rural public transport hub location in a hub-and-spoke network not only reduces the transportation cost of the network but also completes and supplements the location theory of integration of urban and rural public transport.https://doi.org/10.1177/1550147718773263
spellingShingle Wei Zhong
Zhicai Juan
Fang Zong
Huishuang Su
Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
International Journal of Distributed Sensor Networks
title Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
title_full Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
title_fullStr Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
title_full_unstemmed Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
title_short Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
title_sort hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport
url https://doi.org/10.1177/1550147718773263
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AT zhicaijuan hierarchicalhublocationmodelandhybridalgorithmforintegrationofurbanandruralpublictransport
AT fangzong hierarchicalhublocationmodelandhybridalgorithmforintegrationofurbanandruralpublictransport
AT huishuangsu hierarchicalhublocationmodelandhybridalgorithmforintegrationofurbanandruralpublictransport