{"id":"https://openalex.org/W2774505675","doi":"https://doi.org/10.1109/igarss.2017.8128093","title":"Geographically weighted regression model for urban traffic black-spot analysis","display_name":"Geographically weighted regression model for urban traffic black-spot analysis","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2774505675","doi":"https://doi.org/10.1109/igarss.2017.8128093","mag":"2774505675"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8128093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5037082001","display_name":"Yaqin Ye","orcid":"https://orcid.org/0000-0002-6014-436X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqin Ye","raw_affiliation_strings":["College of Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940860","display_name":"Zejun Zuo","orcid":"https://orcid.org/0000-0001-7219-0948"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejun Zuo","raw_affiliation_strings":["College of Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021355100","display_name":"Xiaohui Yuan","orcid":"https://orcid.org/0000-0001-6897-4563"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaohui Yuan","raw_affiliation_strings":["College of Information Engineering, China University of Geosciences, Wuhan, China","Dept. of Computer Science and Engineering, University of North Texas, Denton, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of North Texas, Denton, TX, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347373","display_name":"Siyu Zhang","orcid":"https://orcid.org/0000-0001-9355-1650"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Zhang","raw_affiliation_strings":["College of Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100526095","display_name":"Zeng Xiu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Zeng","raw_affiliation_strings":["College of Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102770076","display_name":"Ying An","orcid":"https://orcid.org/0000-0003-1047-7761"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying An","raw_affiliation_strings":["College of Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427435","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-4145-0676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Wuhan ZondyCyber Technology Co., Ltd., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan ZondyCyber Technology Co., Ltd., Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9779,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79455253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"4866","last_page":"4869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9506000280380249,"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/beijing","display_name":"Beijing","score":0.7623013854026794},{"id":"https://openalex.org/keywords/black-spot","display_name":"Black spot","score":0.6517735719680786},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.627045750617981},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5112977027893066},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4623497724533081},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4587320387363434},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4550902843475342},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"Geographically Weighted Regression","score":0.44958990812301636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38673654198646545},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3672957718372345},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.35194987058639526},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32286742329597473},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.2534365653991699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1810886263847351},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15703582763671875},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.11608445644378662}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7623013854026794},{"id":"https://openalex.org/C2993179017","wikidata":"https://www.wikidata.org/wiki/Q2278935","display_name":"Black spot","level":2,"score":0.6517735719680786},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.627045750617981},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5112977027893066},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4623497724533081},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4587320387363434},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4550902843475342},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.44958990812301636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38673654198646545},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3672957718372345},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.35194987058639526},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32286742329597473},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.2534365653991699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1810886263847351},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15703582763671875},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.11608445644378662},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8128093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2074657861","https://openalex.org/W2767288457","https://openalex.org/W6746035803"],"related_works":["https://openalex.org/W2372453645","https://openalex.org/W2379982587","https://openalex.org/W2372709340","https://openalex.org/W2378849240","https://openalex.org/W2348887897","https://openalex.org/W2783333685","https://openalex.org/W4365510477","https://openalex.org/W1523486391","https://openalex.org/W2368232708","https://openalex.org/W2364212620"],"abstract_inverted_index":{"Based":[0],"on":[1,99,132],"the":[2,21,34,39,60,64,76,80,88,94,97,106,113,122],"traffic":[3,35,45,83,100,133],"accident":[4,46,84,101,134],"data":[5],"of":[6,16,33,41,59,66,82,96,109,121,129],"Beijing":[7],"China":[8],"in":[9,44,138],"2012,":[10],"we":[11,104],"combined":[12],"with":[13],"a":[14],"variety":[15],"municipal":[17],"administration":[18],"data,":[19],"used":[20],"geographically":[22],"weighted":[23],"regression":[24],"(GWR)":[25],"method":[26],"to":[27,112],"study":[28],"spatial":[29,139],"non-stationarity":[30],"and":[31,37,62,79,124],"heterogeneity":[32,140],"accidents,":[36],"analyzed":[38],"causes":[40,81],"space":[42],"regional":[43],"black":[47,85,102,135],"spots.":[48],"Experimental":[49],"results":[50],"demonstrated":[51],"that:":[52],"(1)":[53],"The":[54,127],"GWR":[55],"model":[56],"detects":[57],"change":[58,68],"coefficient":[61,67],"explains":[63],"significance":[65],"as":[69],"well.":[70],"It":[71],"is":[72],"suitable":[73],"for":[74],"interpreting":[75],"distribution":[77],"regularity":[78],"spots":[86,136],"at":[87],"microscopic":[89],"level.":[90],"(2)":[91],"By":[92],"analyzing":[93],"importance":[95],"factors":[98,110],"spots,":[103],"note":[105],"following":[107],"order":[108],"according":[111],"significance:":[114],"weather,":[115],"hospital,":[116],"park,":[117],"subway":[118],"station,":[119],"curvature":[120],"roads":[123],"population":[125],"density.":[126],"influence":[128],"each":[130],"factor":[131],"differs":[137],"characteristics.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}