Optimizing Electric Vehicle Charging Station Location on Highways: A Decision Model for Meeting Intercity Travel Demand

Ibrahim Tumay Gulbahar, Muhammed Sutcu (), Abedalmuhdi Almomany and Babul Salam KSM Kader Ibrahim
Additional contact information
Ibrahim Tumay Gulbahar: Industrial Engineering Department, Abdullah Gul University, Sumer Campus, Barbaros Boulevard, Kocasinan, 38080 Kayseri, Türkiye
Muhammed Sutcu: Engineering Management Department, College of Engineering & Architecture, Gulf University for Science & Technology, Mishref 32093, Kuwait
Abedalmuhdi Almomany: Electrical & Computer Engineering Department, College of Engineering & Architecture, Gulf University for Science & Technology, Mishref 32093, Kuwait
Babul Salam KSM Kader Ibrahim: Electrical & Computer Engineering Department, College of Engineering & Architecture, Gulf University for Science & Technology, Mishref 32093, Kuwait

Sustainability, 2023, vol. 15, issue 24, 1-17

Abstract: Electric vehicles have emerged as one of the top environmentally friendly alternatives to traditional internal combustion engine vehicles. The development of a comprehensive charging infrastructure, particularly determining the optimal locations for charging stations, is essential for the widespread adoption of electric vehicles. Most research on this subject focuses on popular areas such as city centers, shopping centers, and airports. With numerous charging stations available, these locations typically satisfy daily charging needs in routine life. However, the availability of charging stations for intercity travel, particularly on highways, remains insufficient. In this study, a decision model has been proposed to determine the optimal placement of electric vehicle charging stations along highways. To ensure a practical approach to the location of charging stations, the projected number of electric vehicles in Türkiye over the next few years is estimated by using a novel approach and the outcomes are used as crucial input in the facility location model. An optimization technique is employed to identify the ideal locations for charging stations on national highways to meet customer demand. The proposed model selects the most appropriate locations for charging stations and the required number of chargers to be installed, ensuring that electric vehicle drivers on highways do not encounter charging problems.

Keywords: urban studies; electric vehicle; charging station; time series analysis; facility location (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/24/16716/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/24/16716/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:24:p:16716-:d:1297518

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().