OPTIMAL LOCATION SELECTION FOR ELECTRIC VEHICLE CHARGING STATIONS USING GIS

被引:0
|
作者
Guler, Dogus [1 ]
Yomralioglu, Tahsin [1 ]
机构
[1] Istanbul Tech Univ, Geomat Engn Dept, TR-34469 Istanbul, Turkey
来源
7TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2 | 2018年
关键词
Multi-criteria; electric vehicle; GIS; ANALYTIC HIERARCHY PROCESS; SITE SELECTION; DECISION FRAMEWORK; SYSTEMS;
D O I
暂无
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The reduction of the environmental negative effects in the world we live in makes the life process better. Charging stations are needed for the widespread use and efficient use of electric vehicles, which have both positive environmental and economic benefits. Geographic Information Systems (GIS) is an important decision support system that enables both semantic and spatial data to be managed and analyzed at the same time. Besides GIS, using the Analytical Hierarchy Process (AHP) of the Multi-Criteria Decision-Making Methods (MCDM), the electric vehicle charging station location were selected in case study areas in Istanbul, Turkey. Criteria that have economic, environmental and social effects in the study were determined to take into account the characteristics of the study area and analyses were carried out. The results obtained from the study were evaluated according to the charging station suitability to produce scientifically based output products that would benefit decision makers.
引用
收藏
页码:340 / 345
页数:6
相关论文
共 50 条
  • [1] Optimal Location of Electric Vehicle Charging Stations Using Genetic Algorithm
    Chen, Shuangshuang
    Shi, Yue
    Chen, Xingyu
    Qi, Feng
    2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMS, 2015, : 372 - 375
  • [2] Optimal location of electric vehicle charging stations using proximity diagrams
    Calvo-Jurado, Carmen
    Ceballos-Martinez, Jose Maria
    Garcia-Merino, Jose Carlos
    Munoz-Solano, Marina
    Sanchez-Herrera, Fernando Jesus
    SUSTAINABLE CITIES AND SOCIETY, 2024, 113
  • [3] A GIS-based Optimal Facility Location Framework for Fast Electric Vehicle Charging Stations
    Zafar, Usman
    Bayram, I. Safak
    Bayhan, Sertac
    PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2021,
  • [4] Research on Optimal Site Selection for Electric Vehicle Charging Stations
    Zhang, Kan
    Cheng, Lin
    PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024, 2024, : 781 - 785
  • [5] Optimal Location of Electric Vehicle Charging Stations in Distribution Grids Using Genetic Algorithms
    Gomes, Eduardo
    Cerveira, Adelaide
    Baptista, Jose
    OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT I, OL2A 2023, 2024, 1981 : 560 - 574
  • [6] Optimal Location and Pricing of Electric Vehicle Charging Stations Using Machine Learning and Stackelberg Game
    Adil, Muhammad
    Mahmud, M. A. Parvez
    Kouzani, Abbas Z.
    Khoo, Sui Yang
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2024, 60 (03) : 4708 - 4722
  • [7] Optimal location and sizing of renewable distributed generations and electric vehicle charging stations
    Guindi, Marina
    Kamel, Rashad M.
    RENEWABLE ENERGY, 2024, 235
  • [8] The Optimal Site Selection of Electric Vehicle Charging Facilities Using Location Theory Model
    Kim, Seunghyun
    Kim, Jooyoung
    Lee, Seungjae
    INTERNATIONAL JOURNAL OF TRANSPORTATION, 2018, 6 (03): : 25 - 33
  • [9] Optimal Playing of Electric Vehicle Charging Stations
    Brenna, Morris
    Dolara, Alberto
    Leva, Sonia
    Longo, Michela
    Zaninelli, Dario
    2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2017, : 210 - 215
  • [10] Optimal Allocation for Electric Vehicle Charging Stations
    Lee, Jiwon
    An, Midam
    Kim, Yongku
    Seo, Jung-In
    ENERGIES, 2021, 14 (18)