scholarly journals Determining Electric Vehicle Charging Station Location Suitability: A Qualitative Study of Greek Stakeholders Employing Thematic Analysis and Analytical Hierarchy Process

2021 ◽  
Vol 13 (4) ◽  
pp. 2298
Author(s):  
Christos Karolemeas ◽  
Stefanos Tsigdinos ◽  
Panagiotis G. Tzouras ◽  
Alexandros Nikitas ◽  
Efthimios Bakogiannis
Keyword(s):  
Analytical Hierarchy Process ◽  
Urban Environments ◽  
Location Selection ◽  
Global Context ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Selection Factors ◽  
Station Location ◽  
Hierarchy Process ◽  
Ev Charging

Shifting from a fossil-fueled to an eco-friendly vehicle fleet in cities could pave the way towards a more sustainable future. Electric Vehicles (EVs) should thus be prioritized, so that they could replace conventional vehicles gradually. In this context, an EV-accommodating infrastructure, which ensures the functionality of the entire system, is essential. This study aims to develop a methodological framework to identify suitable locations for the deployment of EV charging points in urban environments. To meet this objective, we acquired a mixed method approach including a systematic literature review, 12 semistructured stakeholder interviews which were thematically analyzed, and an Analytical Hierarchy Process (AHP). The outcome is a spatial model function, which consists of parameters and weights for estimating the suitability of each urban road link that will allow the establishment of EV charging points. Results show that the key location selection factors are: transport hubs, marked or controlled parking spaces, and points of interest. The less significant factor is public services. Therefore, there is a preference, in stakeholder level, for transport features over the land use ones (69% over 31%). Although this research is conducted in Greece, we intend to suggest methods and generate valuable findings that may be valid and generalizable for a more global context.

scholarly journals Placement of Infrastructure for Urban Electromobility: A Sustainable Approach

2020 ◽  
Vol 12 (16) ◽  
pp. 6324 ◽  
Author(s):  
Cláudia A. Soares Machado ◽  
Harmi Takiya ◽  
Charles Lincoln Kenji Yamamura ◽  
José Alberto Quintanilha ◽  
Fernando Tobal Berssaneti
Keyword(s):  
Demand Uncertainty ◽  
Central Area ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
High Investment ◽  
Available Information ◽  
Charging Stations ◽  
Station Location ◽  
Ev Charging

Over the last few years, electric vehicles (EVs) have turned into viable urban transportation alternatives. Charging infrastructure is an issue, since high investment is needed and there is a lot of demand uncertainty. Seeking to fill gaps in past studies, this investigation proposes a set of procedures to identify the most adequate places for implementing the EV charging infrastructure. In order to identify the most favorable districts for the installation and operation of electric charging infrastructure in São Paulo city, the following public available information was considered: the density of points of interest (POIs), distribution of the average monthly per capita income, and number of daily trips made by transportation mode. The current electric vehicle charging network and most important business corridors were additionally taken into account. The investigation shows that districts with the largest demand for charging stations are located in the central area, where the population also exhibits the highest purchasing power. The charging station location process can be applied to other cities, and it is possible to use additional variables to measure social inequality.

Prioritizing factors influencing the selection of a suitable quarantine facility for COVID-19 patients using Pareto-enhanced analytical hierarchy process

Facilities ◽  
2021 ◽  
Vol 39 (7/8) ◽  
pp. 488-507
Author(s):  
Emanuel Fernando Samasseca Zeferino ◽  
Olasumbo Ayodeji Makinde ◽  
Khumbulani Mpofu ◽  
Boitumelo Innocent Ramatsetse ◽  
Ilesanmi Afolabi Daniyan
Keyword(s):  
Analytical Hierarchy Process ◽  
Decision Makers ◽  
Critical Factors ◽  
Content Type ◽  
Location Selection ◽  
The Government ◽  
Selection Factors ◽  
Hierarchy Process ◽  
Suitable Location ◽  
Selection Of

Purpose Selection of a suitable location for a quarantine infrastructure represents a complex decision problem, which requires a systematic appraisal of myriads of factors. Quarantine facility in this study is a facility that intends to harbour and treat individuals diagnosed with COVID-19 to prevent the widespread of the virus. COVID-19 is a very contagious pandemic disease, hence, the establishment of critical factors that will embrace the selection of a suitable quarantine facility is of high importance. This paper aims to ascertain the vital few factors that must be considered by decision makers in selecting a suitable quarantine facility. Design/methodology/approach The aim of this study was achieved through the numerical assessment of identified quarantine location selection factors using the analytical hierarchy process (AHP) and Pareto techniques. The factors, which influences the selection of a suitable quarantine facility for COVID-19 patients were first identified from the literature followed by the pairwise comparison of the factors and random consistency analyses, as well as the ranking of the alternatives based on facility location experts’ opinions. Findings The study revealed that security, skills availability, cost, readiness, proximity to necessary medical facilities and distance to border, with percentage weight scores of 18%, 16.7%, 15.6%, 10.3%, 9.8% and 6.6% were the critical factors that must be considered during the selection of a quarantine facility for COVID-19 patients. Practical implications The results of this paper will help the government and decision makers in locating the quarantine sites for people who tested positive for the COVID-19 virus. Originality/value The present study focuses on the application of the decision technique to ascertain critical factors that embrace suitable quarantine facility selection. Combination of AHP and Pareto techniques for prioritization of conflicting factors to be considered in selecting the most suitable location for a quarantine facility has not been reported by existing literature.

scholarly journals Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Xingquan Ji ◽  
Ziyang Yin ◽  
Yumin Zhang ◽  
Xuan Zhang ◽  
Haishu Gao ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Consumer Benefit ◽  
Pricing Scheme ◽  
Evaluation Strategies ◽  
Hierarchy Process ◽  
Ev Charging

Scientific pricing of the electric vehicle charging station is closely related to consumer behavior inevitably. Existing studies have not considered the impacts of consumer differences on the charging price, which will fail to meet the interests of various types of consumers. This paper proposes a novel pricing method based on consumer classification and comprehensive evaluation strategies. First, the basis for consumer classification is established according to a single factor sensitivity analysis of the consumer benefit model; then, the nonlinear expression of the basis is piecewise linearized. Additionally, with the principle of least fitting error to determine consumers’ classification, the initial charging price schemes for various types of consumers are formulated. Second, this paper defines evaluation indices and establishes the hierarchy model for comprehensive evaluation schemes. Finally, the integrated analytic hierarchy process and data envelopment analysis are adopted for comprehensive evaluation of schemes. Simulations results illustrate that the proposed method can formulate the comprehensive optimal charging price considering consumer differences, and the method can reflect the impacts of both subjective and objective factors conveniently and accurately.

scholarly journals The Architecture Design of Electrical Vehicle Infrastructure Using Viable System Model Approach

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Mahdi Boucetta ◽  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Charles Keating ◽  
Siham Tazzit ◽  
...  
Keyword(s):  
Urban Space ◽  
Electric Vehicles ◽  
Reference Model ◽  
System Model ◽  
Ecosystem Structure ◽  
Viable System Model ◽  
Charging Station ◽  
Viable System ◽  
Station Location ◽  
Ev Charging

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not been analyzed. To address this gap, this paper develops a systems-based framework to offer rigorous design and analysis of the EV ecosystem, with a focus on charging station location problems. The study framework includes: (1) examination of the EV charging station location problem through the lens of a systems perspective; (2) a systems view of EV ecosystem structure; and (3) development of a reference model for EV charging stations by adopting the viable system model. The paper concludes with the methodological implications and utility of the reference model to offer managerial insights for practitioners and stakeholders.

Optimized Electric Vehicle Charging Pricing Method Using Game Theory

2014 ◽  
Vol 986-987 ◽  
pp. 400-403 ◽  
Author(s):  
Kuan Lu ◽  
Wen Shan Gao ◽  
Jing Li ◽  
Wan Lei Xue ◽  
Wen Xue Sun
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Cost Analysis ◽  
Benefit Cost Analysis ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Main Factors ◽  
Benefit Cost ◽  
Behavior Models ◽  
Ev Charging

First, behavior models of the station operator and consumer are established considering all the main factors. Second, an optimized EV charging pricing method using Game Theory is introduced based on benefit-cost analysis. The calculation of government subsidies is also proposed in order to reach an equilibrium charging price. Finally, actual data of Hebei is used and results are shown to give supports to local government and charging station operator’s decision making.

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