Publication:
An integrated GIS, MIF, and TOPSIS approach for appraising electric vehicle charging station suitability zones in Mumbai, India

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dc.citedby28
dc.contributor.authorRane N.L.en_US
dc.contributor.authorAchari A.en_US
dc.contributor.authorSaha A.en_US
dc.contributor.authorPoddar I.en_US
dc.contributor.authorRane J.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorRoy R.en_US
dc.contributor.authorid57219453239en_US
dc.contributor.authorid58165906700en_US
dc.contributor.authorid57222261542en_US
dc.contributor.authorid58713368400en_US
dc.contributor.authorid58316635400en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid57222031738en_US
dc.date.accessioned2024-10-14T03:17:29Z
dc.date.available2024-10-14T03:17:29Z
dc.date.issued2023
dc.description.abstractFossil fuels cause air pollution and climate change, impacting human health. Mumbai imports and spends heavily on petroleum. Therefore, to reduce the amount of fossil fuel and for mitigating environmental issues, the use of electric vehicles (EVs) is an effective solution. The first priority towards supporting the widespread adoption of EVs is the availability of convenient charging stations. This research aims to delineate the optimal places for new electric vehicle charging stations (EVCS) in study area. The interrelationship of thirteen parameters have been used to determine the Multi Influencing Factor (MIF) weights. These MIF weights were then integrated into Geographical Information System (GIS) for weighted overlay analysis. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) used to assign ranks based on suitability index values. The result shows that the zone falling between 297.587 to 488.520 suitability index has suitability for EVCS. The proposed methodology offers a more precise solution for EVCS problems with a high level of uncertainty and assists policymakers and administrators in making effective decisions for future planning and strategies. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo104717
dc.identifier.doi10.1016/j.scs.2023.104717
dc.identifier.scopus2-s2.0-85162174411
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85162174411&doi=10.1016%2fj.scs.2023.104717&partnerID=40&md5=a5e2781272becab1c99a4218712b9c38
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33947
dc.identifier.volume97
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleSustainable Cities and Society
dc.subjectAir pollution
dc.subjectCharging infrastructure
dc.subjectEVs
dc.subjectGeographic information system
dc.subjectMulti-criteria decision-making
dc.subjectSite selection
dc.subjectIndia
dc.subjectMaharashtra
dc.subjectMumbai
dc.subjectAir pollution
dc.subjectCharging (batteries)
dc.subjectClimate change
dc.subjectDecision making
dc.subjectElectric vehicles
dc.subjectFossil fuels
dc.subjectInformation systems
dc.subjectInformation use
dc.subjectSite selection
dc.subjectCharging infrastructures
dc.subjectCharging station
dc.subjectElectric vehicle charging
dc.subjectFactor weight
dc.subjectGeographical information
dc.subjectMulti criteria decision-making
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectSuitability index
dc.subjectTechnique for order preference by similarities to ideal solutions
dc.subjectatmospheric pollution
dc.subjectdecision making
dc.subjectelectric vehicle
dc.subjectGIS
dc.subjectsite selection
dc.subjecttechnology adoption
dc.subjecttransportation infrastructure
dc.subjectGeographic information systems
dc.titleAn integrated GIS, MIF, and TOPSIS approach for appraising electric vehicle charging station suitability zones in Mumbai, Indiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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