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Charging station distribution model-the concept of using the locations of petrol stations in the city

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In cities of low level of electromobility, it is particularly important to plan possibly the most efficient distribution of first-established charging stations. Since it contributes to building trust to electric vehicles, locations of charging stations should correspond to the actual needs of users to promote electromobility and maximize its implementation effect. The article presents a decision-making support method that helps to determine locations of the first charging stations in a given area. The method is based on the assumption that charging stations are set up at existing petrol stations. The method has been applied for the area of the city of Sosnowiec.

Original languageEnglish
Title of host publicationModern Traffic Engineering in the System Approach to the Development of Traffic Networks- 16th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2019, Selected Papers
EditorsElzbieta Macioszek, Grzegorz Sierpinski
PublisherSpringer
Pages99-113
Number of pages15
ISBN (Print)9783030340681
DOIs
Publication statusPublished - 2020
Event16th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2019 - Katowice, Poland
Duration: 16 Sept 201918 Sept 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1083 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference16th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2019
Country/TerritoryPoland
CityKatowice
Period16/09/1918/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Charging station
  • Electromobility
  • Transport systems planning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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