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Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions

Author

Listed:
  • Oluwasola O. Ademulegun

    (Centre for Sustainable Technologies (CST), Ulster University, 2-24 York Street, Belfast BT15 1AP, Northern Ireland, UK)

  • Paul MacArtain

    (Dundalk Institute of Technology (DkIT), Dublin Road, Marshes Upper, A91 K584 Dundalk, Ireland)

  • Bukola Oni

    (Civil, Construction, and Environmental Engineering (CCEE) Department, Iowa State University, 394 Town Engineering, Ames, IA 50011, USA)

  • Neil J. Hewitt

    (Centre for Sustainable Technologies (CST), Ulster University, 2-24 York Street, Belfast BT15 1AP, Northern Ireland, UK)

Abstract

Electric Vehicles (EVs) replace fossil fuel vehicles in effort towards having more sustainable transport systems. The battery of an EV is recharged at a charging point using electricity. While some recharging will be required at locations where vehicles are normally parked, other recharging could be necessary at strategic locations of vehicular travel. Certain locations are suitable for EV charging station deployment, others are not. A multi-stage decision analysis methodology for selecting suitable locations for installing EV charging station is presented. The multi-stage approach makes it possible to select critical criteria with respect to any defined objectives of the EV charging station and techno-physio-socio-economic factors without which the EV charging station could not be deployed or would not serve its designated purpose. In a case, the type of charging station is specified, and a purpose is defined: rapid EV charging stations intended for public use within and across border regions. Applied in siting real EV charging stations at optimal locations, stages in the methodology present additional techno-physio-socio-economic factors in deploying the type of EV charging stations at optimal locations and keep the EV charging stations operating within acceptable standards. Some locations were dropped at the critical analysis stage; others were dropped at the site-specific analysis stage and replacement sites were required in certain instances. Final locations included most optimal, less optimal, least optimal, and strategic or special need locations. The average distances between contiguous recharging locations were less than 60 miles. Using any specified separation standard, the number of additional EV charging stations required between EV charging stations were determinable with the Pool Box. The Overall Charging Station Availability quadrants suggest that the overall user experience could get worse as less-standardized additional EV charging stations are deployed.

Suggested Citation

  • Oluwasola O. Ademulegun & Paul MacArtain & Bukola Oni & Neil J. Hewitt, 2022. "Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions," Energies, MDPI, vol. 15(24), pages 1-28, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9396-:d:1001037
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    References listed on IDEAS

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