Litcius/Paper detail

Site selection for EVCSs by GIS-based AHP method

Linzhao Sun

2020E3S Web of Conferences20 citationsDOIOpen Access PDF

Abstract

As an alternative to fossil-fuelled vehicles, electric vehicles (EVs) are eco-friendly which can reduce carbon emissions and improve energy efficiency. However, there are still some barriers to the development of EVs. One of the main problems is lacking scientific planning of charging stations considering social, technological and environmental factors. To solve the problem, our paper proposes a Geographic Information System (GIS)-based AHP method to find optimal locations of electric vehicle charging stations (EVCSs) in Nanshan District, Shenzhen City. From the experimental result, the middle and southeast are more suitable to locate charging stations than other areas.18 alternative stations are selected considering the reality and existed charging stations.

Topics & Concepts

Analytic hierarchy processSite selectionGeographic information systemComputer scienceSelection (genetic algorithm)Transport engineeringEnvironmental resource managementOperations researchEnvironmental economicsEnvironmental scienceGeographyEngineeringCartographyPolitical scienceLawArtificial intelligenceEconomicsElectric Vehicles and InfrastructureTransportation and Mobility InnovationsVehicle Routing Optimization Methods
Site selection for EVCSs by GIS-based AHP method | Litcius