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Open AccessArticle

On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study

Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
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Sustainability 2021, 13(1), 168; https://doi.org/10.3390/su13010168
Received: 3 December 2020 / Revised: 17 December 2020 / Accepted: 21 December 2020 / Published: 26 December 2020
The uptake of Electric Vehicles (EVs) is rapidly changing the landscape of urban mobility services. Transportation Network Companies (TNCs) have been following this trend by increasing the number of EVs in their fleets. Recently, major TNCs have explored the prospect of establishing privately owned charging facilities that will enable faster and more economic charging. Given the scale and complexity of TNC operations, such decisions need to consider both the requirements of TNCs and local planning regulations. Therefore, an optimisation approach is presented to model the placement of CSs with the objective of minimising the empty time travelled to the nearest CS for recharging as well as the installation cost. An agent based simulation model has been set in the area of Chicago to derive the recharging spots of the TNC vehicles, and in turn derive the charging demand. A mathematical formulation for the resulting optimisation problem is provided alongside a genetic algorithm that can produce solutions for large problem instances. Our results refer to a representative set of the total data for Chicago and indicate that nearly 180 CSs need to be installed to handle the demand of a TNC fleet of 3000 vehicles. View Full-Text
Keywords: Transportation Network Companies; EV charging infrastructure; facility location Transportation Network Companies; EV charging infrastructure; facility location
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MDPI and ACS Style

Anastasiadis, E.; Angeloudis, P.; Ainalis, D.; Ye, Q.; Hsu, P.-Y.; Karamanis, R.; Escribano Macias, J.; Stettler, M. On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study. Sustainability 2021, 13, 168.

AMA Style

Anastasiadis E, Angeloudis P, Ainalis D, Ye Q, Hsu P-Y, Karamanis R, Escribano Macias J, Stettler M. On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study. Sustainability. 2021; 13(1):168.

Chicago/Turabian Style

Anastasiadis, Eleftherios; Angeloudis, Panagiotis; Ainalis, Daniel; Ye, Qiming; Hsu, Pei-Yuan; Karamanis, Renos; Escribano Macias, Jose; Stettler, Marc. 2021. "On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study" Sustainability 13, no. 1: 168.

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