{"id":"https://openalex.org/W4389955231","doi":"https://doi.org/10.3233/jcm-226980","title":"What are public preferences for air quality improvement policies? Additional information from extended choice models","display_name":"What are public preferences for air quality improvement policies? Additional information from extended choice models","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4389955231","doi":"https://doi.org/10.3233/jcm-226980"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226980","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226980","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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/A5003126398","display_name":"Bowen Lei","orcid":"https://orcid.org/0000-0001-7141-7485"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Lei","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085405841","display_name":"Changlin Ao","orcid":"https://orcid.org/0000-0001-8826-7356"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changlin Ao","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029213145","display_name":"Yuehua Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehua Wei","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074259990","display_name":"Yulin Long","orcid":null},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Long","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I169572211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044977352","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0003-0714-750X"},"institutions":[{"id":"https://openalex.org/I169572211","display_name":"Northeast Agricultural University","ror":"https://ror.org/0515nd386","country_code":"CN","type":"education","lineage":["https://openalex.org/I169572211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I169572211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085405841"],"corresponding_institution_ids":["https://openalex.org/I169572211"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14427641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"6","first_page":"2893","last_page":"2914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10898","display_name":"Environmental Education and Sustainability","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mixed-logit","display_name":"Mixed logit","score":0.7625000476837158},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.673743486404419},{"id":"https://openalex.org/keywords/willingness-to-pay","display_name":"Willingness to pay","score":0.662865936756134},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.559791624546051},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5516980290412903},{"id":"https://openalex.org/keywords/public-economics","display_name":"Public economics","score":0.5196508169174194},{"id":"https://openalex.org/keywords/public-good","display_name":"Public good","score":0.51945561170578},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.49527421593666077},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.46349310874938965},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.4447084367275238},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4388868808746338},{"id":"https://openalex.org/keywords/revealed-preference","display_name":"Revealed preference","score":0.4311261773109436},{"id":"https://openalex.org/keywords/public-policy","display_name":"Public policy","score":0.42469483613967896},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4179348349571228},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.34906020760536194},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.2647578716278076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20351964235305786},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16215446591377258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1279052495956421},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1061837375164032},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.09287014603614807}],"concepts":[{"id":"https://openalex.org/C95057490","wikidata":"https://www.wikidata.org/wiki/Q6883984","display_name":"Mixed logit","level":3,"score":0.7625000476837158},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.673743486404419},{"id":"https://openalex.org/C2777364431","wikidata":"https://www.wikidata.org/wiki/Q140813","display_name":"Willingness to pay","level":2,"score":0.662865936756134},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.559791624546051},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5516980290412903},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.5196508169174194},{"id":"https://openalex.org/C162222271","wikidata":"https://www.wikidata.org/wiki/Q92779871","display_name":"Public good","level":2,"score":0.51945561170578},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.49527421593666077},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.46349310874938965},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.4447084367275238},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4388868808746338},{"id":"https://openalex.org/C2779110102","wikidata":"https://www.wikidata.org/wiki/Q1323737","display_name":"Revealed preference","level":2,"score":0.4311261773109436},{"id":"https://openalex.org/C109986646","wikidata":"https://www.wikidata.org/wiki/Q546113","display_name":"Public policy","level":2,"score":0.42469483613967896},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4179348349571228},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.34906020760536194},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.2647578716278076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20351964235305786},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16215446591377258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1279052495956421},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1061837375164032},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.09287014603614807},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-226980","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226980","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1973427732","https://openalex.org/W2042531726","https://openalex.org/W2098779272","https://openalex.org/W2281123984","https://openalex.org/W2298808336","https://openalex.org/W2308928326","https://openalex.org/W2602286231","https://openalex.org/W2682367792","https://openalex.org/W2719831445","https://openalex.org/W2757713307","https://openalex.org/W2791185793","https://openalex.org/W2796179421","https://openalex.org/W2802908984","https://openalex.org/W2859759326","https://openalex.org/W2890712597","https://openalex.org/W2891623163","https://openalex.org/W2896887168","https://openalex.org/W2932518173","https://openalex.org/W2940529752","https://openalex.org/W2989968391","https://openalex.org/W2998992294","https://openalex.org/W2999796268","https://openalex.org/W3003177912","https://openalex.org/W3004440210","https://openalex.org/W3013255987","https://openalex.org/W3017900463","https://openalex.org/W3026322046","https://openalex.org/W3045995118","https://openalex.org/W3048214021","https://openalex.org/W3085935298","https://openalex.org/W3088324362","https://openalex.org/W3107196142","https://openalex.org/W3107511980","https://openalex.org/W3110010218","https://openalex.org/W3112739133","https://openalex.org/W3114136181","https://openalex.org/W3117569291","https://openalex.org/W3129366165","https://openalex.org/W3135011395","https://openalex.org/W3140911930","https://openalex.org/W3157078006","https://openalex.org/W3166851034","https://openalex.org/W3166960340","https://openalex.org/W3169419617","https://openalex.org/W3172163391","https://openalex.org/W3175825423","https://openalex.org/W3178115522","https://openalex.org/W3187868333","https://openalex.org/W3202484715","https://openalex.org/W4200214165","https://openalex.org/W4200268739","https://openalex.org/W4206492317","https://openalex.org/W4214484796","https://openalex.org/W4220925171","https://openalex.org/W4221063539","https://openalex.org/W4224229919","https://openalex.org/W4224441436","https://openalex.org/W4281607175","https://openalex.org/W4293216957","https://openalex.org/W4306711224","https://openalex.org/W7075613561"],"related_works":["https://openalex.org/W1526185908","https://openalex.org/W3122407935","https://openalex.org/W3122112275","https://openalex.org/W1525699532","https://openalex.org/W582614404","https://openalex.org/W2257242358","https://openalex.org/W3154656014","https://openalex.org/W2545322769","https://openalex.org/W4366714599","https://openalex.org/W2560027845"],"abstract_inverted_index":{"Effectively":[0],"assessing":[1],"public":[2,22,63,180],"preferences":[3,181],"for":[4,66,96,110,182,198],"air":[5,67,147,183],"quality":[6,68,184],"improvement":[7],"policies":[8,18],"is":[9,24,39,135,172],"extremely":[10],"important":[11],"to":[12,21,91,108,160,166],"environmental":[13],"policy":[14,97],"formulation,":[15],"but":[16],"developing":[17],"that":[19,102],"cater":[20],"tastes":[23],"a":[25],"great":[26],"challenge.":[27],"Although":[28],"the":[29,36,55,118,127,161,164,169,187],"random":[30,86],"parameters":[31,87],"logit":[32],"(RPL)":[33],"model":[34,72,83,171],"in":[35,42,48,61,75,168],"choice":[37],"experiment":[38],"widely":[40],"used":[41,90],"relevant":[43],"studies,":[44],"it":[45],"remains":[46],"limited":[47],"revealing":[49],"additional":[50],"preference":[51,64],"heterogeneity.":[52],"Given":[53],"this,":[54],"study":[56,100,177],"applies":[57],"two":[58],"extended":[59,192],"models":[60,193],"exploring":[62],"heterogeneity":[65,74],"policies.":[69],"An":[70],"RPL":[71,82,170],"with":[73,84,138,152],"means":[76],"and":[77,80,115,149,186],"variances":[78],"(RPL-HMV)":[79],"an":[81],"correlated":[85,151],"(RPL-CRP)":[88],"are":[89,105],"provide":[92],"more":[93,106,195],"beneficial":[94],"insights":[95],"analysis.":[98],"The":[99,176],"shows":[101],"better-educated":[103],"groups":[104],"willing":[107],"pay":[109,167],"increasing":[111],"urban":[112,154],"green":[113,155],"coverage,":[114],"income":[116],"increases":[117],"randomness":[119],"of":[120,129,141],"such":[121],"preferences\u2019":[122],"distribution":[123],"among":[124],"groups.":[125],"From":[126],"perspective":[128],"preferences,":[130],"reducing":[131],"heavy":[132],"pollution":[133,148],"days":[134],"positively":[136],"associated":[137],"decreasing":[139],"morbidity":[140],"respiratory":[142],"diseases":[143],"caused":[144],"by":[145,174,191],"outdoor":[146],"negatively":[150],"improving":[153],"coverage.":[156],"In":[157],"addition,":[158],"compared":[159],"RPL-CRP":[162],"model,":[163],"willingness":[165],"overestimated":[173],"14.72%.":[175],"further":[178],"clarifies":[179],"policies,":[185],"extra":[188],"information":[189],"revealed":[190],"provides":[194],"valuable":[196],"references":[197],"policy-making.":[199]},"counts_by_year":[],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
