{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T15:13:21Z","timestamp":1770390801170,"version":"3.49.0"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876055"],"award-info":[{"award-number":["61876055"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China-Guangdong Joint Fund","doi-asserted-by":"publisher","award":["U2001201"],"award-info":[{"award-number":["U2001201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2023.3347037","type":"journal-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T20:13:53Z","timestamp":1703535233000},"page":"758-771","source":"Crossref","is-referenced-by-count":10,"title":["Improved Bayesian Best-Worst Networks With Geographic Information System for Electric Vehicle Charging Station Selection"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5294-1599","authenticated-orcid":false,"given":"Xiaojia","family":"Wang","sequence":"first","affiliation":[{"name":"School of Management, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9149-3850","authenticated-orcid":false,"given":"Weijian","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Management, Hefei University of Technology, Hefei, China"}]},{"given":"Lushi","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Management, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6168-7016","authenticated-orcid":false,"given":"Xibin","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Global Energy Review: CO2 Emissions in 2021, Global Emissions Rebound Sharply to Highest Ever Level","year":"2022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1787\/c8328405-en"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.12.062"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2019.107572"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-201757"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.103230"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2019.101873"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.103181"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-02903-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs14153579"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s22197389"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3149758"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2019.05.020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3106281"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/en14102756"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06001-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2022.124626"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3186937"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/19475683.2020.1737226"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/en15072497"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.112340"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10373842.pdf?arnumber=10373842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T03:56:16Z","timestamp":1706068576000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10373842\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3347037","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}