Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services

In the last few years, vehicle sharing has driven a gradual switch from ownership-based private mobility to service usage as a sustainable urban transport alternative. A significant number of cities have implemented mobility sharing programs. Shared transport reduces both traffic congestion, and the...

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Autores principales:	Mariana de Oliveira Lage, Cláudia Aparecida Soares Machado, Cristiano Martins Monteiro, Clodoveu Augusto Davis, Charles Lincoln Kenji Yamamura, Fernando Tobal Berssaneti, José Alberto Quintanilha
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	car sharing optimal location possible partnerships location-allocation Voronoi diagram GIS Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/49cff19db31442d49cd8887824c9a29a
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spelling	oai:doaj.org-article:49cff19db31442d49cd8887824c9a29a2021-11-25T19:03:42ZUsing Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services10.3390/su1322127042071-1050https://doaj.org/article/49cff19db31442d49cd8887824c9a29a2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12704https://doaj.org/toc/2071-1050In the last few years, vehicle sharing has driven a gradual switch from ownership-based private mobility to service usage as a sustainable urban transport alternative. A significant number of cities have implemented mobility sharing programs. Shared transport reduces both traffic congestion, and the need for parking space, decreasing the number of vehicles on the road. The optimization of shared mobility service sites increases potential user access, reduces transportation costs, and augments demand for this transportation modality. Car sharing is a mobility concept where the usage of a vehicle fleet is shared among several people. This is a relatively new concept of transport, with short vehicle rental periods. It provides the convenience of private vehicles without additional charges. A key success factor is the location of sharing stations. The study presented here refers to a car sharing service to be operated by a carmaker in the city of São Paulo (Brazil). This article aims to identify and to select the best places to establish sharing stations within the company’s dealer and servicing network. A geographic information system (GIS) calculates spatial distribution of potential trip demand. Two models of hierarchical facility location are used to determine ideal station locations. It also suggests potential local partners to house car-sharing stations, such as hotels and private car parks. Voronoi diagrams support the location task. The recent rediscovery of Weber’s classic unique facility location problem has also been applied. The selection criterion was to maximize demand and hence operator profit, while minimizing obstacles like the distance to stations.Mariana de Oliveira LageCláudia Aparecida Soares MachadoCristiano Martins MonteiroClodoveu Augusto DavisCharles Lincoln Kenji YamamuraFernando Tobal BerssanetiJosé Alberto QuintanilhaMDPI AGarticlecar sharingoptimal locationpossible partnershipslocation-allocationVoronoi diagramGISEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12704, p 12704 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	car sharing optimal location possible partnerships location-allocation Voronoi diagram GIS Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	car sharing optimal location possible partnerships location-allocation Voronoi diagram GIS Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Mariana de Oliveira Lage Cláudia Aparecida Soares Machado Cristiano Martins Monteiro Clodoveu Augusto Davis Charles Lincoln Kenji Yamamura Fernando Tobal Berssaneti José Alberto Quintanilha Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services
description	In the last few years, vehicle sharing has driven a gradual switch from ownership-based private mobility to service usage as a sustainable urban transport alternative. A significant number of cities have implemented mobility sharing programs. Shared transport reduces both traffic congestion, and the need for parking space, decreasing the number of vehicles on the road. The optimization of shared mobility service sites increases potential user access, reduces transportation costs, and augments demand for this transportation modality. Car sharing is a mobility concept where the usage of a vehicle fleet is shared among several people. This is a relatively new concept of transport, with short vehicle rental periods. It provides the convenience of private vehicles without additional charges. A key success factor is the location of sharing stations. The study presented here refers to a car sharing service to be operated by a carmaker in the city of São Paulo (Brazil). This article aims to identify and to select the best places to establish sharing stations within the company’s dealer and servicing network. A geographic information system (GIS) calculates spatial distribution of potential trip demand. Two models of hierarchical facility location are used to determine ideal station locations. It also suggests potential local partners to house car-sharing stations, such as hotels and private car parks. Voronoi diagrams support the location task. The recent rediscovery of Weber’s classic unique facility location problem has also been applied. The selection criterion was to maximize demand and hence operator profit, while minimizing obstacles like the distance to stations.
format	article
author	Mariana de Oliveira Lage Cláudia Aparecida Soares Machado Cristiano Martins Monteiro Clodoveu Augusto Davis Charles Lincoln Kenji Yamamura Fernando Tobal Berssaneti José Alberto Quintanilha
author_facet	Mariana de Oliveira Lage Cláudia Aparecida Soares Machado Cristiano Martins Monteiro Clodoveu Augusto Davis Charles Lincoln Kenji Yamamura Fernando Tobal Berssaneti José Alberto Quintanilha
author_sort	Mariana de Oliveira Lage
title	Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services
title_short	Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services
title_full	Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services
title_fullStr	Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services
title_full_unstemmed	Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services
title_sort	using hierarchical facility location, single facility approach, and gis in carsharing services
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/49cff19db31442d49cd8887824c9a29a
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Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services

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