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Public transportation electromobility generates low or no emission of polluting gases; however, the limited autonomy of batteries, long charging time and high acquisition cost hinder the adoption of this technology. Given this scenario, this study seeks to prioritize bus routes in the city of Fortaleza, Brazil, for electrification, considering demand/supply, environmental and social criteria, by integrating multicriteria and GIS analysis. GTFS data from November 2018 were collected and processed using QGIS software. A total of 10 sub-criteria were considered: Route Demand, Line/Route Length, Operating Fleet, Travel Time, Number of Daily Trips, Terminal Area, Distance from Terminal to Power Substation, CO2 Emission, Total Population (on Neighborhoods) and Population Income Level. The weights assigned to the sub-criteria by the MACBETH method were used in the TOPSIS algorithm for route hierarchization. Electrification of the 10 priority routes could reduce CO2 emissions by 13%. [ABSTRACT FROM AUTHOR]

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