{"id":"https://openalex.org/W4313040544","doi":"https://doi.org/10.1109/geoinformatics57846.2022.9963862","title":"Local modeling of $\\text{PM}_{2.5}$ concentration in Beijing-Tianjin-Hebei area: A multi-scale geographically weighted regression analysis","display_name":"Local modeling of $\\text{PM}_{2.5}$ concentration in Beijing-Tianjin-Hebei area: A multi-scale geographically weighted regression analysis","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4313040544","doi":"https://doi.org/10.1109/geoinformatics57846.2022.9963862"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics57846.2022.9963862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics57846.2022.9963862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Geoinformatics","raw_type":"proceedings-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/A5017246564","display_name":"Yuechuang Ju","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuechuang Ju","raw_affiliation_strings":["School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication,Nanjing,China","School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112886666","display_name":"Yibin Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Ma","raw_affiliation_strings":["School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication,Nanjing,China","School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059791244","display_name":"Xiaojin Liang","orcid":"https://orcid.org/0000-0001-5994-2738"},"institutions":[{"id":"https://openalex.org/I4210126705","display_name":"Guangzhou Urban Planning Survey & Design Institute","ror":"https://ror.org/02crg7060","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210126705"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojin Liang","raw_affiliation_strings":["Guangzhou Urban Planning &#x0026; Design Survey Research Institute,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Urban Planning &#x0026; Design Survey Research Institute,Guangzhou,China","institution_ids":["https://openalex.org/I4210126705"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057422251","display_name":"Chao Wu","orcid":"https://orcid.org/0000-0001-7159-3286"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wu","raw_affiliation_strings":["School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication,Nanjing,China","School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information Nanjing University of Posts and Telecommunication, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017246564"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20850592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9990000128746033,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9990000128746033,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9972000122070312,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.640512228012085},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5890204906463623},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5639310479164124},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4385491907596588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4044502377510071},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3750360906124115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3486219644546509},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3184760808944702},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3005591034889221},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.2191145420074463},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.12463575601577759}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.640512228012085},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5890204906463623},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5639310479164124},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4385491907596588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4044502377510071},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3750360906124115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3486219644546509},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3184760808944702},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3005591034889221},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.2191145420074463},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.12463575601577759},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics57846.2022.9963862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics57846.2022.9963862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4918725309","display_name":null,"funder_award_id":"BK20190742","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6204435810","display_name":null,"funder_award_id":"NY219036","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"}],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2020363535","https://openalex.org/W2037969072","https://openalex.org/W2044333852","https://openalex.org/W2047120335","https://openalex.org/W2054806977","https://openalex.org/W2064587667","https://openalex.org/W2338559210","https://openalex.org/W2419137754","https://openalex.org/W2564540659","https://openalex.org/W2618179689","https://openalex.org/W2732714360","https://openalex.org/W2747207142","https://openalex.org/W2805618699","https://openalex.org/W2864528446","https://openalex.org/W2888005101","https://openalex.org/W2907904596","https://openalex.org/W2911321509","https://openalex.org/W2911411388","https://openalex.org/W2918319429","https://openalex.org/W2953978338","https://openalex.org/W2966025255","https://openalex.org/W2977350438","https://openalex.org/W2977939360","https://openalex.org/W2981441128","https://openalex.org/W3002720291","https://openalex.org/W3092444004","https://openalex.org/W3101087684","https://openalex.org/W3123351739","https://openalex.org/W3197551328","https://openalex.org/W4200529849"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807","https://openalex.org/W2993975634","https://openalex.org/W4381136829"],"abstract_inverted_index":{"There":[0],"are":[1,100,135],"various":[2],"environmental":[3],"and":[4,67,97,131,147,164,197],"economic":[5],"factors":[6,30,66],"influencing":[7],"the":[8,17,28,42,60,64,140,178,191],"concentration":[9],"of":[10,19,31,44,90,122,133,161,181],"<tex":[11,32,68,104,116,154,169,182],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[12,33,69,105,117,155,170,183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{PM}_{2.5}$</tex>":[13,34,70,106,118,156,171,184],",":[14,185],"which":[15,186],"is":[16],"focus":[18],"many":[20,23],"fields.":[21],"Although":[22],"studies":[24],"have":[25,39,110],"proven":[26],"that":[27,82],"influential":[29,65,179],"exist":[35],"spatial":[36,47,61],"heterogeneity,":[37],"few":[38],"focused":[40],"on":[41,115,153,168],"effects":[43,114],"multi-scale":[45,53],"in":[46,75],"relationships.":[48],"This":[49],"study":[50],"applies":[51],"a":[52],"geographically":[54],"weighted":[55],"model":[56],"(MGWR)":[57],"to":[58,189],"explore":[59],"relationships":[62],"between":[63],"at":[71],"different":[72],"operational":[73],"scale":[74,137,142],"Beijing-Tianjin-Hebei":[76],"area,":[77],"China.":[78],"The":[79,120],"results":[80],"show":[81],"variables":[83,102,109,121],"such":[84],"as":[85],"NDVI,":[86],"aspect,":[87],"pressure,":[88],"percentage":[89,132,160],"green":[91],"space,":[92],"urban":[93],"function":[94],"mixing":[95],"degree,":[96],"relative":[98],"humidity":[99],"local-scale":[101],"affecting":[103],".":[107,119,157,172],"Those":[108],"significant":[111],"spatially":[112],"heterogeneous":[113],"slope,":[123,144],"temperature,":[124],"wind":[125,145],"speed,":[126,146],"population":[127,148],"density,":[128,130,159],"road":[129,158],"construction":[134],"global":[136,141],"variables.":[138],"Among":[139],"variables,":[143],"density":[149],"has":[150,165],"negative":[151],"effect":[152,167],"construction,":[162],"temperature":[163],"positive":[166],"Our":[173],"work":[174],"can":[175,187],"deeply":[176],"understanding":[177],"mechanisms":[180],"help":[188],"develop":[190],"relevant":[192],"air":[193],"pollution":[194],"control":[195],"recommendations":[196],"policies.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}