Title: Geolocation of electric bikes recharging stations: City of Quito study case

Authors: Geovanna Villacreses; Javier Martínez-Gómez; Paola Quintana; Ricardo A. Narváez C.

Addresses: Instituto Nacional de Eficiencia Energética y Energías Renovables – INER, Quito, Ecuador ' Instituto Nacional de Eficiencia Energética y Energías Renovables – INER, Quito, Ecuador; Universidad Internacional SEK Ecuador, Quito, EC170134 Quito, Ecuador ' Instituto Nacional de Eficiencia Energética y Energías Renovables – INER, Quito, Ecuador ' Instituto Nacional de Eficiencia Energética y Energías Renovables – INER, Quito, Ecuador; Facultad de Ingeniería Química, Universidad Central del Ecuador, Quito, Ecuador

Abstract: The aim of this research was to develop a geographical information system with multi-criteria decision making methods for selecting the most feasible location to install electric bikes recharging stations in the City of Quito. For such purpose, the ideal solution-similarity preference ranking and weighted overlay techniques have been used as multi-criteria decision making methods. In addition, the analytic hierarchy process method was performed for calculating the weights of each criterion. Moreover, a standardisation process that consists of establishing an overall performance index to evaluate the results was applied. Finally, the Pearson correlation coefficient was used to analyse mutual correspondence between multi-criteria decision making methods. The resulting Pearson correlation coefficients indicate that the two selected multi-criteria decision making methods provided similar results. In this context, the methods analysed covered similar solutions and indicated that multi-criteria decision making methods are a powerful tool to select ideal locations for electric bikes recharging stations.

Keywords: optimal location; e-bikes; geographic information systems; GIS; multi-criteria decision making; MCDM methods.

DOI: 10.1504/IJMOR.2019.100735

International Journal of Mathematics in Operational Research, 2019 Vol.14 No.4, pp.495 - 516

Received: 08 Dec 2016
Accepted: 20 Nov 2017
Published online: 17 Jul 2019 *

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