{"id":"https://openalex.org/W3038208590","doi":"https://doi.org/10.1145/3397056.3397059","title":"Analysis of Spatial Heterogeneity and Influencing Factors of Urban Traffic Congestion Based on GIS","display_name":"Analysis of Spatial Heterogeneity and Influencing Factors of Urban Traffic Congestion Based on GIS","publication_year":2020,"publication_date":"2020-04-15","ids":{"openalex":"https://openalex.org/W3038208590","doi":"https://doi.org/10.1145/3397056.3397059","mag":"3038208590"},"language":"en","primary_location":{"id":"doi:10.1145/3397056.3397059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397056.3397059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107997514","display_name":"S. Ye","orcid":"https://orcid.org/0000-0002-7864-4282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng Ye","raw_affiliation_strings":["Chongqing Geomatics and Remote Sensing Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Geomatics and Remote Sensing Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090608554","display_name":"Zong He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zong He","raw_affiliation_strings":["Chongqing Geomatics and Remote Sensing Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Geomatics and Remote Sensing Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035818375","display_name":"Yahui Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yahui Jia","raw_affiliation_strings":["Chongqing Geomatics and Remote Sensing Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Geomatics and Remote Sensing Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112636478","display_name":"Yachen Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yachen Luo","raw_affiliation_strings":["hongqing Branch of Secondary Public Education, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"hongqing Branch of Secondary Public Education, Chongqing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9926000237464905,"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/traffic-congestion","display_name":"Traffic congestion","score":0.7463132739067078},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6213201284408569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4787934720516205},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.4743826687335968},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4539102017879486},{"id":"https://openalex.org/keywords/traffic-bottleneck","display_name":"Traffic bottleneck","score":0.45120158791542053},{"id":"https://openalex.org/keywords/urban-area","display_name":"Urban area","score":0.41692623496055603},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.37220340967178345},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.3565252125263214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16712254285812378},{"id":"https://openalex.org/keywords/economy","display_name":"Economy","score":0.09028893709182739},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08492174744606018}],"concepts":[{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.7463132739067078},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6213201284408569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4787934720516205},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.4743826687335968},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4539102017879486},{"id":"https://openalex.org/C81631751","wikidata":"https://www.wikidata.org/wiki/Q3111645","display_name":"Traffic bottleneck","level":5,"score":0.45120158791542053},{"id":"https://openalex.org/C2778368647","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban area","level":2,"score":0.41692623496055603},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.37220340967178345},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.3565252125263214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16712254285812378},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.09028893709182739},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08492174744606018},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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:10.1145/3397056.3397059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397056.3397059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Geoinformatics and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1997752779","https://openalex.org/W2106799368","https://openalex.org/W2107993205","https://openalex.org/W2409494635","https://openalex.org/W2411089289"],"related_works":["https://openalex.org/W2361775397","https://openalex.org/W2064543875","https://openalex.org/W642444140","https://openalex.org/W4256033520","https://openalex.org/W2378437311","https://openalex.org/W2993731614","https://openalex.org/W2955911246","https://openalex.org/W4210652692","https://openalex.org/W2317511064","https://openalex.org/W2540942508"],"abstract_inverted_index":{"Traffic":[0,86],"congestion":[1,39,73,87,164],"not":[2],"only":[3],"causes":[4],"significant":[5],"losses":[6],"to":[7,35],"city":[8],"economy,":[9],"but":[10],"also":[11],"seriously":[12],"affects":[13],"the":[14,22,93,98,101,132,137,162,182,191,198,201],"happiness":[15],"index":[16],"of":[17,28,70,134,149,184,193,203],"urban":[18,37,58,71],"residents.":[19],"Different":[20],"from":[21,40],"specific":[23],"and":[24,74,95,100,115],"detailed":[25],"research":[26],"perspective":[27],"traditional":[29],"traffic":[30,38,47,72,110,123,139,155,163,185,209],"congestion,":[31,186],"this":[32,167],"paper":[33],"attempts":[34],"study":[36],"a":[41,105,119],"relatively":[42,106],"macro":[43],"perspective.":[44],"The":[45,66,82,147],"real-time":[46],"data,":[48,51,54,57,61],"building":[49],"survey":[50],"Gaode":[52],"POI":[53,117],"bus":[55,150,160],"stops":[56,151],"road,":[59],"population":[60],"DEM":[62],"data":[63],"are":[64,78],"collected.":[65],"spatial":[67],"heterogeneity":[68],"law":[69],"its":[75],"influencing":[76],"factors":[77],"analyzed":[79],"by":[80,143,172],"GIS.":[81],"analysis":[83],"found":[84],"that:(1)":[85],"in":[88,92,97,131,166],"Chongqing":[89],"is":[90],"\"heavy":[91],"north":[94],"light":[96],"south\",":[99],"business":[102],"district":[103],"has":[104],"obvious":[107],"impact":[108,121],"on":[109,122],"congestion.":[111,124,156,210],"(2)":[112],"Population":[113],"density":[114,178],"commercial":[116,135],"have":[118],"great":[120],"For":[125,157],"every":[126,158],"0.1":[127],"percentage":[128],"point":[129],"increase":[130],"proportion":[133],"POI,":[136],"average":[138],"jam":[140],"time":[141,165],"increased":[142],"0.09":[144],"hours.":[145,174],"(3)":[146],"number":[148],"can":[152,169],"significantly":[153],"alleviate":[154],"additional":[159],"station,":[161],"area":[168],"be":[170],"reduced":[171],"0.05":[173],"(4)":[175],"Increasing":[176],"road":[177],"cannot":[179,206],"effectively":[180,207],"solve":[181],"problem":[183],"which":[187],"once":[188],"again":[189],"proves":[190],"correctness":[192],"\"down":[194],"Law\".":[195],"(5)":[196],"Within":[197],"community,":[199],"increasing":[200],"diversity":[202],"land":[204],"use":[205],"relieve":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}