An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method

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dc.contributor.authorShi, Ruifeng
dc.contributor.authorLiu, Jiahua
dc.contributor.authorLiao, Zhenhong
dc.contributor.authorNiu, Li
dc.contributor.authorIbrahim, Eke
dc.contributor.authorFu, Fang
dc.date.accessioned2020-06-25T18:30:31Z
dc.date.available2020-06-25T18:30:31Z
dc.date.issued2019
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe environmental crisis has prompted the development of electric vehicles as a green and environmentally friendly mode of travel. Since a reasonable layout of electric vehicle (EV) charging stations is the prerequisite for developing the EV industry, obtaining an optimal and efficient EV charging station planning scheme is a key issue. Although the Chinese government has carried out a plan to build EV charging piles in residential and working places, it cannot properly fulfill the task of matching the charging needs for public transportation vehicles such as electric taxis (ETs). How to evaluate the performance of fast charging stations (FCSs) and how to help find the optimal ET charging station planning scheme are new challenges. In this paper, an improved destination selection model is proposed to simulate the ET operation system and to help find the optimal ET charging station size with statistical analysis based on the charging need prediction. A numerical case study shows that the proposed method can address ET charging behavior well and can help to statistically determine the size of each ET charging station, which should satisfy the constraints on the preset proportion of the ET charging service requests.en_US
dc.description.sponsorshipNational Natural Science Foundation of ChinaNational Natural Science Foundation of China [71801224, 61203100]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [16MS42]en_US
dc.description.sponsorshipThis research was funded by the National Natural Science Foundation of China grant number 71801224 and 61203100, and was also funded by the Fundamental Research Funds for the Central Universities grant number 16MS42.en_US
dc.identifier.citationShi R, Liu J, Liao Z, Niu L, Ibrahim E, Fu F. An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method. Energies. 2019; 12(19):3781.en_US
dc.identifier.doi10.3390/en12193781
dc.identifier.issn1996-1073
dc.identifier.issue19en_US
dc.identifier.scopus2-s2.0-85077466988
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/en12193781
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7664
dc.identifier.volume12en_US
dc.identifier.wosWOS:000498072600192
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpien_US
dc.relation.ispartofEnergies
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectelectric taxisen_US
dc.subjectdestination selection modelen_US
dc.subjectstatistical analysisen_US
dc.subjectcharging station deployment planen_US
dc.titleAn Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Methoden_US
dc.typeArticle

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