Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems

The most relevant problem to manage one-way carsharing systems is the vehicle stock imbalance across the stations. Previous research proposed a mathematical model for choosing the stations’ location as an approach to solve it. However, it does not allow including relocation operations and trip uncer...

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Hlavní autoři: Jorge, Diana, Correia, Goncalo, Barnhart, Cynthia
Další autoři: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Médium: Článek
Jazyk:en_US
Vydáno: Elsevier 2014
On-line přístup:http://hdl.handle.net/1721.1/90420
https://orcid.org/0000-0003-2431-2706
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author Jorge, Diana
Correia, Goncalo
Barnhart, Cynthia
author2 Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
author_facet Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Jorge, Diana
Correia, Goncalo
Barnhart, Cynthia
author_sort Jorge, Diana
collection MIT
description The most relevant problem to manage one-way carsharing systems is the vehicle stock imbalance across the stations. Previous research proposed a mathematical model for choosing the stations’ location as an approach to solve it. However, it does not allow including relocation operations and trip uncertainty. In this paper we develop a simulation model that considers demand variability and one vehicle relocation policy and test the solutions provided by the previous MIP model. We have concluded that these factors influence significantly the company profit and should be considered in future research in one-way carsharing systems planning.
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spelling mit-1721.1/904202022-10-03T10:29:55Z Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems Jorge, Diana Correia, Goncalo Barnhart, Cynthia Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Barnhart, Cynthia The most relevant problem to manage one-way carsharing systems is the vehicle stock imbalance across the stations. Previous research proposed a mathematical model for choosing the stations’ location as an approach to solve it. However, it does not allow including relocation operations and trip uncertainty. In this paper we develop a simulation model that considers demand variability and one vehicle relocation policy and test the solutions provided by the previous MIP model. We have concluded that these factors influence significantly the company profit and should be considered in future research in one-way carsharing systems planning. 2014-09-29T12:59:41Z 2014-09-29T12:59:41Z 2012-10 Article http://purl.org/eprint/type/JournalArticle 18770428 http://hdl.handle.net/1721.1/90420 Jorge, Diana, Goncalo Correia, and Cynthia Barnhart. “Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-Way Systems.” Procedia - Social and Behavioral Sciences 54 (October 2012): 138–148. https://orcid.org/0000-0003-2431-2706 en_US http://dx.doi.org/10.1016/j.sbspro.2012.09.733 Procedia - Social and Behavioral Sciences Creative Commons Attribution http://creativecommons.org/licenses/by-nc-nd/3.0/ application/pdf Elsevier Elsevier
spellingShingle Jorge, Diana
Correia, Goncalo
Barnhart, Cynthia
Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems
title Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems
title_full Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems
title_fullStr Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems
title_full_unstemmed Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems
title_short Testing the Validity of the MIP Approach for Locating Carsharing Stations in One-way Systems
title_sort testing the validity of the mip approach for locating carsharing stations in one way systems
url http://hdl.handle.net/1721.1/90420
https://orcid.org/0000-0003-2431-2706
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