Charging Station Distribution Model - The Concept of Using the Locations of Petrol Stations in the City

Staniek, Marcin; Sierpiński, Grzegorz

doi:10.1007/978-3-030-34069-8_9

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…Ease of access to CS sites, including distance and CS operating hours [38], [39] Parking situation (C42) Enough space for a parking area and convenient access to the entrance and exit of the parking area [40], [41] A decision hierarchy can be created from the top to the bottom level by identifying the aspects that influence the charging location decision-making process. The toplevel is the goal, namely selecting a charging station location.…”

Section: Accessibility (C41)mentioning

confidence: 99%

Selection of Charging Station Location based on Sustainability Perspective using AHP Method

Aqidawati,

Nafi'ah

2023

jtekno

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The acceleration of electric vehicle (EV) development in Indonesia to support energy and environmental sustainability has taken over and attracted the attention of many parties. Various policies, programs, and research outputs have made the public aware of EVs. However, the availability of charging stations (CS) in the community and the optimal placement are matters of great concern as CS is an essential infrastructure that enhances EV development. Therefore, to support sustainable urban development, CS location selection must consider a sustainability perspective in decision-making. In this study, we employed Analytical Hierarchy Process (AHP) method to assess the best placement of CS in Surakarta based on a sustainability perspective. Ten sub-criteria were identified based on a literature review to establish a hierarchy structure of the problem. We distributed a questionnaire to five experts in different fields to assess the importance scale for each sub-criteria and five alternatives location. The priority value and rank of each sub-criteria and alternative were generated. We found that CS 1 obtains the highest-ranking of preferable sites. The level of water and vegetation damage, service capacity, and impact on society are the most critical parameters that must be considered carefully in choosing a CS location. This study supplements literature for location selection and the application of the AHP method.

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Section: Accessibility (C41)mentioning

confidence: 99%

Selection of Charging Station Location based on Sustainability Perspective using AHP Method

Aqidawati,

Nafi'ah

2023

jtekno

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“…In cities with a low level of electromobility, it is particularly important to plan the most efficient distribution of the first established charging stations, as this contributes to building trust in electric vehicles. The location of charging stations should thus correspond to the actual needs of users to promote electromobility and maximize its implementation [27]. The development of electromobility includes the development of electric charging infrastructure.…”

Section: Electric Vehicles and The Perspectives For Market Developmentmentioning

confidence: 99%

Reputation of Electric Vehicles in the Environment of Carbon Reduction and Accelerated Digitization

2023

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The accelerated digitization of the third decade of the twenty-first century poses a challenge both for science and for practice. The study presents partial results of continuous research on online reputation management of entities operating in the environment of low-carbon economy. The aim of the study is the application of a standardized methodology for calculating the Total level of Online Reputation (TOR) to determine the market position of selected Electric Vehicles (EVs) compared to the market position of conventional Vehicles with Internal Combustion Engines (ICEVs) in the online environment. The research sample consists of the ten best-selling Vehicles and the ten best-selling Electric Vehicles in the world by sales in the year 2021. Based on the measurement results and the subsequent analysis of the context, it can be concluded that the EV market shows the parameters of a developing market not only from the point of view of sales but also in terms of the overall level of Online Reputation as such. At the same time, it is possible to point out a high geographical specificity and significant disproportionality of the EV market compared to ICEVs. From the overall market perspective, the future of cars in the EV category is still unclear, as building trust in low-carbon products is limited by historical tradition. The main representatives of the EV industry thus represent the first forays of the onset of the low-carbon era in individual transport. The description of the issue will require the monitoring of status indicators over time. The results of the presented study can thus serve as a baseline and methodological framework for further research of the adoption of low-carbon policies in common practice.

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“…The proposals for solving the problem of electric vehicle charging stations' location take into account several criteria, which means that the issue should be approached holistically. Apart from the economic [14,24,42,[57][58][59][60][61][62][63][64][65][66][67], environmental [40,61,65,[68][69][70] and technical criteria [14,46,51,58,60,61,65,[71][72][73], there are also the social criteria that need to be considered [39][40][41]60,61,72,74,75]. Additionally, besides the single criterion proposals [24,41,46,57,74,[76][77][78] there are currently more and more multi-criteria approaches [40,43,…”

Section: State Of the Art In Evcs Locationmentioning

confidence: 99%

Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

et al. 2021

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The article presents the issue of designing a network of electric vehicle charging stations (EVCSs) for servicing passenger and commercial vehicles and taking into account the already existing locations. The authors propose a five-stage multicriteria- and GIS-based EVCS location methodology (5MAGISEV) for designing the EVCS network that includes defining potential EVCS locations (stage 1), constructing a family of evaluation criteria (stage 2), generating alternatives (stage 3), selecting an appropriate multiple criteria decision aid method (stage 4) and conducting a multicriteria evaluation of alternatives (stage 5). The methodology was verified by its experimental application for solving the problem of EVCS location in Poznan, Poland. As a result of its application, a set of over 155,000 alternatives was generated in view of different EVCS location determination policies. A family of eight criteria with subcriteria was proposed to assess the solutions, including the evaluation of the degree of integration of the considered EVCSs with such issues as public transport (C1); urbanized areas (C2); main road network (C3); industrial areas (C4); and the location with respect to transport areas (C5), shops of various types (C6), address points (C7) and DYI stores (C8). Based on the selected method of multiple criteria decision aid (LBS), a solution was selected that constitutes a compromise design of the EVCS network.

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Charging Station Distribution Model - The Concept of Using the Locations of Petrol Stations in the City

Cited by 4 publications

References 24 publications

Selection of Charging Station Location based on Sustainability Perspective using AHP Method

Selection of Charging Station Location based on Sustainability Perspective using AHP Method

Reputation of Electric Vehicles in the Environment of Carbon Reduction and Accelerated Digitization

Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

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