Urban public charging station locating method for electric vehicles based on land use approach

Csiszár, Csaba; Csonka, Bálint; Földes, Dávid; Wirth, Ervin; Lovas, Tamás

doi:10.1016/j.jtrangeo.2018.11.016

Cited by 104 publications

(60 citation statements)

References 26 publications

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“…To contribute to the literature, the present paper takes the objectives of environmental impact and accessibility into account and creates the intersection suitability result by benefiting from these objectives. Csiszár et al (2019) proposed a technique that integrates weighted multi-criteria methods and hexagonbased approach to locate the new electric vehicle charging stations. The authors did not mention the consistencies of criteria that are used and they also did not clarify the value ranges of supplementary sub-criteria, namely slope and charging price.…”

Section: Introductionmentioning

confidence: 99%

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

2020

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Electric vehicles arouse interest since they not only contribute economies of countries in the context of dependency to oil but also support to more livable and sustainable urban areas. The location selection of electric vehicle charging stations is one of the most vital topics in order to enhance the use of electric vehicles. In this sense, the aim of this paper is to propose an approach that integrates Geographic Information System (GIS) techniques and Multi-Criteria Decision Making (MCDM) methods for finding suitable locations of the electric vehicle charging stations. In this regard, the Analytic Hierarchy Process (AHP) and the Fuzzy Analytic Hierarchy Process (FAHP) methods are used to calculate the weights of criteria. While the two different weights for each criterion are obtained by means of AHP in terms of environmental impact and accessibility, another weight for each criterion is obtained as a means of applying the FAHP. The intersection of three different suitability indexes is determined so as to achieve a holistic, credible result. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the alternative locations. The results show that the proposed approach offers a notable solution to be selected suitable charging station locations. Moreover, policymakers and administrators could benefit from these results in order to make efficient decisions for forward planning and strategies.

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Section: Introductionmentioning

confidence: 99%

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

2020

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“…Zhu et al [16] considered charging station location for plug-in EVs by minimizing the total cost of investment and how many chargers a charging station should have. Recently, in 2019, a two-level charging station locating method, which uses weighted multicriteria methods, was considered for locating charging stations [17].…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Model for the Temporary Locations of Mobile Charging Stations

et al. 2020

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A possible solution with which to alleviate the range anxiety of electric vehicle (EV) drivers could be a mobile charging station which moves in different places to charge EVs, having a charging time of even half an hour. A problem that arises is the impossibility of charging in any location due to heavy traffic or limited space constraints. This paper proposes a new operational mode for the mobile charging station through temporarily stationing it at different places for certain amounts of time. A mathematical model, in the form of an optimization problem, is built by modeling the mobile charging station as a queuing process, the goal of the problem being to place a minimum number of temporary service centers (which may have one or more mobile charging stations) to minimize operating costs and the charger capacity of the mobile charging station so that the service offered is efficient. The temporary locations obtained are in areas with no or few fixed charging stations, making the mobile station infrastructure complementary to the fixed charging station infrastructure. The temporary location operational mode, compared to current moving operational mode, is more efficient, having a small miss ratio, short mean response time and short mean queuing time.

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“…Sometimes, splitting the whole planning procedure into multiple steps is required in order to manage the complexity of a problem at different geographic scale levels. A rough distribution of CPs at a macroscale level can be subsequently refined 3 of 17 on a microscale level by using a weighted sum model, adjustable in accordance with policymakers' requirements [20]. In this complex and changing scenario, a Multistage Design Procedure (MSDP) for PCIs to satisfy the intracity charging demand is presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

A Multistage Design Procedure for Planning and Implementing Public Charging Infrastructures for Electric Vehicles

et al. 2020

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Presented in this paper is a Multistage Design Procedure (MSDP) for planning and implementing Public Charging Infrastructures (PCIs) to satisfy intracity charging demand of Electric Vehicles (EVs). The proposed MSDP splits planning and design processes into multiple stages, from macroscale to fine-scale levels. Consequently, the preliminary results achieved at each stage can be refined at the subsequent stages, leading to determine the accurate number and precise geographical location of each charging point. The main advantage of the proposed approach is that it splits a very complicated procedure into multiple and simpler stages, at each of which appropriate goals, targets and constraints can be included. As a result, the iterative interactions among all the stakeholders involved in the PCI design process are significantly simplified. The proposed MSDP has been employed in the planning and design of the PCI of the Italian island of Sardinia, accordingly to all the public bodies.

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Urban public charging station locating method for electric vehicles based on land use approach

Cited by 104 publications

References 26 publications

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

An Optimization Model for the Temporary Locations of Mobile Charging Stations

A Multistage Design Procedure for Planning and Implementing Public Charging Infrastructures for Electric Vehicles

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