A Location Problem of Fast Charging Stations Considering Congestion

This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge...

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Main Author: Woosuk Yang
Format: Article
Language:English
Published: Emerald Publishing 2017-12-01
Series:Journal of International Logistics and Trade
Online Access:https://www.emerald.com/insight/content/doi/10.24006/jilt.2017.15.3.91/full/pdf
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author Woosuk Yang
author_facet Woosuk Yang
author_sort Woosuk Yang
collection DOAJ
description This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.
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spelling doaj.art-872ddc947ee34f929210a062043435ed2023-11-17T10:59:29ZengEmerald PublishingJournal of International Logistics and Trade1738-21222508-75922017-12-011539110110.24006/jilt.2017.15.3.91A Location Problem of Fast Charging Stations Considering CongestionWoosuk Yang0Jungseok Research Institute, Inha University, Incheon, KoreaThis paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.https://www.emerald.com/insight/content/doi/10.24006/jilt.2017.15.3.91/full/pdf
spellingShingle Woosuk Yang
A Location Problem of Fast Charging Stations Considering Congestion
Journal of International Logistics and Trade
title A Location Problem of Fast Charging Stations Considering Congestion
title_full A Location Problem of Fast Charging Stations Considering Congestion
title_fullStr A Location Problem of Fast Charging Stations Considering Congestion
title_full_unstemmed A Location Problem of Fast Charging Stations Considering Congestion
title_short A Location Problem of Fast Charging Stations Considering Congestion
title_sort location problem of fast charging stations considering congestion
url https://www.emerald.com/insight/content/doi/10.24006/jilt.2017.15.3.91/full/pdf
work_keys_str_mv AT woosukyang alocationproblemoffastchargingstationsconsideringcongestion
AT woosukyang locationproblemoffastchargingstationsconsideringcongestion