A user-choice model for locating congested fast charging stations. (February 2018)

• Record Type: Journal Article
• Authors: Yang, Woosuk
• Is Part Of: Transportation research. Volume 110(2018)
• Page Start: 189
• Page End: 213
• Publication Date: 2018-02
• Subjects: Electric vehicle -- Fast charging -- Location problem -- User-choice behaviour -- User-choice model -- Congestion; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2017.11.009
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: We derive a restriction for managing congestion at FCSs in a stochastic environment. We model a user-choice behaviour that EV users determine where to charge their EVs. We formulate a user-choice model fully reflecting the modelled behaviour. We also formulate several system-choice models partially reflecting it. A real-life case study is conducted to draw managerial implications from the models. Abstract: We consider a maximal coverage problem for locating congested fast charging stations and deploying chargers in a stochastic environment. A user-choice behaviour considering various factors is modelled. A user-choice model fully reflecting it and system-choice models partially reflecting it are derived. A case study shows the decisions by the system-choice models may result in huge congestion from the user-choice behaviour, and it gives the following main managerial implications for the user-choice model. The model seems to make robust location decisions for different settings of budget and utility function parameters, and it may give less coverage when allowing a long detour.