{"id":"https://openalex.org/W4289812657","doi":"https://doi.org/10.1109/tits.2022.3193050","title":"An Integrated Data Envelopment Analysis and Non-Cooperative Game Approach for Public Transportation Incentive Subsidy Allocation","display_name":"An Integrated Data Envelopment Analysis and Non-Cooperative Game Approach for Public Transportation Incentive Subsidy Allocation","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4289812657","doi":"https://doi.org/10.1109/tits.2022.3193050"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3193050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3193050","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039340206","display_name":"Qiwei Xie","orcid":"https://orcid.org/0000-0002-4209-7192"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiwei Xie","raw_affiliation_strings":["Research Base of Beijing Modern Manufacturing Development, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Base of Beijing Modern Manufacturing Development, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068114824","display_name":"Wu Xiao","orcid":"https://orcid.org/0000-0003-2493-0694"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111710985","display_name":"Qianzhi Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianzhi Dai","raw_affiliation_strings":["School of Economics, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Economics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044689658","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0003-0405-5458"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2010Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei-Yue Wang","raw_affiliation_strings":["State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039340206"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.9641,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86929509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"11","first_page":"21515","last_page":"21530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subsidy","display_name":"Subsidy","score":0.8454538583755493},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.7152704000473022},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.700670599937439},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.69384765625},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5468475818634033},{"id":"https://openalex.org/keywords/rationality","display_name":"Rationality","score":0.476551353931427},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.4700188636779785},{"id":"https://openalex.org/keywords/information-asymmetry","display_name":"Information asymmetry","score":0.45496755838394165},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.45222052931785583},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4316670298576355},{"id":"https://openalex.org/keywords/industrial-organization","display_name":"Industrial organization","score":0.41338834166526794},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.354810893535614},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3386668562889099},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3379305303096771},{"id":"https://openalex.org/keywords/public-economics","display_name":"Public economics","score":0.33192095160484314},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.284687876701355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17015302181243896},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0822153091430664}],"concepts":[{"id":"https://openalex.org/C84265765","wikidata":"https://www.wikidata.org/wiki/Q193219","display_name":"Subsidy","level":2,"score":0.8454538583755493},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.7152704000473022},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.700670599937439},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.69384765625},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5468475818634033},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.476551353931427},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.4700188636779785},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.45496755838394165},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.45222052931785583},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4316670298576355},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.41338834166526794},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.354810893535614},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3386668562889099},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3379305303096771},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.33192095160484314},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.284687876701355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17015302181243896},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0822153091430664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3193050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3193050","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1328622034","display_name":null,"funder_award_id":"72171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3390487764","display_name":null,"funder_award_id":"71701060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5705954559","display_name":null,"funder_award_id":"61673381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5823784751","display_name":null,"funder_award_id":"2020AAA0108401","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G6285185390","display_name":null,"funder_award_id":"2019QY(Y)0101","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G8098779707","display_name":null,"funder_award_id":"9202002","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W615932426","https://openalex.org/W801268114","https://openalex.org/W1532851129","https://openalex.org/W1586478324","https://openalex.org/W1600078124","https://openalex.org/W1751793533","https://openalex.org/W1809255061","https://openalex.org/W1826911477","https://openalex.org/W1971423254","https://openalex.org/W1971800199","https://openalex.org/W1972104453","https://openalex.org/W1982001113","https://openalex.org/W1984712395","https://openalex.org/W1986036165","https://openalex.org/W1994415176","https://openalex.org/W2007162238","https://openalex.org/W2007837916","https://openalex.org/W2016168098","https://openalex.org/W2019257362","https://openalex.org/W2026496668","https://openalex.org/W2026626290","https://openalex.org/W2032765916","https://openalex.org/W2034687505","https://openalex.org/W2038632714","https://openalex.org/W2055483065","https://openalex.org/W2076452041","https://openalex.org/W2086319719","https://openalex.org/W2090370952","https://openalex.org/W2091198644","https://openalex.org/W2105127293","https://openalex.org/W2128805743","https://openalex.org/W2133747588","https://openalex.org/W2153185505","https://openalex.org/W2155374665","https://openalex.org/W2218364894","https://openalex.org/W2302968240","https://openalex.org/W2342177617","https://openalex.org/W2345557418","https://openalex.org/W2509973563","https://openalex.org/W2555102798","https://openalex.org/W2586448866","https://openalex.org/W2587699514","https://openalex.org/W2766870652","https://openalex.org/W2771083040","https://openalex.org/W2774024766","https://openalex.org/W2789880973","https://openalex.org/W2801130895","https://openalex.org/W2900312347","https://openalex.org/W2905390774","https://openalex.org/W2946956788","https://openalex.org/W2953942102","https://openalex.org/W2963912014","https://openalex.org/W2991506542","https://openalex.org/W3041790866","https://openalex.org/W3048211395","https://openalex.org/W3098803497","https://openalex.org/W3134596620","https://openalex.org/W3155619960","https://openalex.org/W4205091289","https://openalex.org/W4229885571","https://openalex.org/W6622756958","https://openalex.org/W6638677947","https://openalex.org/W6655228556","https://openalex.org/W6704243558","https://openalex.org/W6793991888"],"related_works":["https://openalex.org/W4388260134","https://openalex.org/W2801360836","https://openalex.org/W2351341309","https://openalex.org/W2359095791","https://openalex.org/W2364973163","https://openalex.org/W2370332065","https://openalex.org/W2375421581","https://openalex.org/W2352025053","https://openalex.org/W2501307252","https://openalex.org/W2386975405"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"national":[3],"initiative,":[4],"China\u2019s":[5],"public":[6,18,27,41,59,110,118,137],"transport":[7,19,28,42,60,111,119,138],"priority":[8],"development":[9,15],"strategy":[10],"is":[11,30],"conducive":[12],"to":[13,33,121,140],"the":[14,17,34,38,50,65,71,84,88,93,101,113,126,132],"of":[16,52,67,83,92,109,128],"industry":[20],"and":[21,40,69,87,90,98],"urban":[22],"economic":[23],"construction.":[24],"However,":[25],"current":[26],"operation":[29],"inefficient":[31],"due":[32],"information":[35,53],"asymmetry":[36],"between":[37],"government":[39],"enterprises,":[43,112],"thereby":[44],"inevitably":[45],"generating":[46],"losses.":[47],"To":[48],"address":[49],"issue":[51],"asymmetry,":[54],"this":[55,75],"study":[56],"designs":[57],"a":[58,78],"subsidy":[61],"allocation":[62,72],"method":[63,76,86,115,134],"from":[64],"perspective":[66],"incentives":[68],"discusses":[70],"results":[73],"using":[74],"through":[77],"case":[79,127],"study.":[80],"The":[81],"rationality":[82],"proposed":[85,114,133],"scientificity":[89],"authenticity":[91],"conclusions,":[94],"are":[95],"fully":[96],"explained":[97],"demonstrated":[99],"via":[100],"experimental":[102],"simulation.":[103],"Based":[104],"on":[105],"real":[106],"published":[107],"data":[108],"can":[116,135],"motivate":[117,136],"enterprises":[120,139],"improve":[122],"their":[123],"performance.":[124],"In":[125],"reporting":[129],"false":[130],"data,":[131],"report":[141],"accurate":[142],"data.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}