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

Multi-criteria decision-making (MCDM) methods prove effective for identifying optimal locations for electric bike recharging stations, as demonstrated in Quito. The study applied similarity preference ranking and weighted overlay techniques, both yielding consistent results with a Pearson correlation coefficient analysis. The analytic hierarchy process determined criterion weights, while standardization established an overall performance index. This approach highlights MCDM's utility in urban planning, offering data-driven solutions for sustainable mobility infrastructure.

Martínez Gómez, J., Quintana, P., Narváez C., R. A., & Villacreses, G. (2019). Geolocation of electric bikes recharging stations: City of Quito study case. International Journal of Mathematics in Operational Research, 14(4), 495. https://doi.org/10.1504/ijmor.2019.10022358