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Optimal allocation of electric vehicle charging infrastructure in cities and regions
A geospatial analysis of electric-vehicle charging infrastructure allocation within a city and a region, based on open source GIS tools, is described. A methodology was developed to provide optimal locations of electric vehicle infrastructure (charging stations) within a spatially extended region. Two different cases were identified: placement in a city network (urban road network) and in a regional or national network (rural roads and highways). For a city and a regional network, the methodology identifies high-potential areas for the installation of charging station. In contrast, for a highway network the methodology provides explicitly the suggested locations: the charging stations should preferably be placed in already built areas, gas stations or rest areas, to minimize additional investment costs. A pilot study was made for the city of Bolzano/Bozen (city road network) and the province of Alto Adige/Südtirol (rural and highway network). The municipality and the province gave positive feedback on the suggested locations.
Optimal allocation of electric vehicle charging infrastructure in cities and regions
A geospatial analysis of electric-vehicle charging infrastructure allocation within a city and a region, based on open source GIS tools, is described. A methodology was developed to provide optimal locations of electric vehicle infrastructure (charging stations) within a spatially extended region. Two different cases were identified: placement in a city network (urban road network) and in a regional or national network (rural roads and highways). For a city and a regional network, the methodology identifies high-potential areas for the installation of charging station. In contrast, for a highway network the methodology provides explicitly the suggested locations: the charging stations should preferably be placed in already built areas, gas stations or rest areas, to minimize additional investment costs. A pilot study was made for the city of Bolzano/Bozen (city road network) and the province of Alto Adige/Südtirol (rural and highway network). The municipality and the province gave positive feedback on the suggested locations.
Optimal allocation of electric vehicle charging infrastructure in cities and regions
Gkatzoflias, Dimitrios (Autor:in) / Drossinos, Yannis (Autor:in) / Zubaryeva, Alyona (Autor:in) / Zambelli, Pietro (Autor:in) / Dilara, Panagiota (Autor:in) / Thiel, Christian (Autor:in)
2016
1 Online-Ressource (33 Seiten)
Illustrationen
Literaturverzeichnis: Seite 27-28
Langzeitarchivierung durch Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Report
Elektronische Ressource
Englisch
Planning the Charging Infrastructure for Electric Vehicles in Cities and Regions
BASE | 2021
|Planning the charging infrastructure for electric vehicles in cities and regions
TIBKAT | 2016
|Planning the charging infrastructure for electric vehicles in cities and regions
UB Braunschweig | 2016
|Planning the Charging Infrastructure for Electric Vehicles in Cities and Regions
UB Braunschweig | 2016
|Planning the Charging Infrastructure for Electric Vehicles in Cities and Regions
BASE | 2016
|