{"id":"https://openalex.org/W4225856922","doi":"https://doi.org/10.1145/3512576.3512661","title":"Research on City Area Traffic Generation Analysis Based on Multi-source Big Data","display_name":"Research on City Area Traffic Generation Analysis Based on Multi-source Big Data","publication_year":2021,"publication_date":"2021-12-22","ids":{"openalex":"https://openalex.org/W4225856922","doi":"https://doi.org/10.1145/3512576.3512661"},"language":"en","primary_location":{"id":"doi:10.1145/3512576.3512661","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512576.3512661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 9th International Conference on Information Technology: IoT and Smart City","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/A5000952621","display_name":"Jing Luo","orcid":"https://orcid.org/0000-0003-2429-4608"},"institutions":[{"id":"https://openalex.org/I4210106043","display_name":"Foundation for Ichthyosis and Related Skin Types","ror":"https://ror.org/01fq70c03","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106043"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jing Luo","raw_affiliation_strings":["CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China","institution_ids":["https://openalex.org/I4210106043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411175","display_name":"Qingqing Li","orcid":"https://orcid.org/0000-0003-3190-7097"},"institutions":[{"id":"https://openalex.org/I4210106043","display_name":"Foundation for Ichthyosis and Related Skin Types","ror":"https://ror.org/01fq70c03","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingqing Li","raw_affiliation_strings":["CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China","institution_ids":["https://openalex.org/I4210106043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065986790","display_name":"Baopeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106043","display_name":"Foundation for Ichthyosis and Related Skin Types","ror":"https://ror.org/01fq70c03","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baopeng Li","raw_affiliation_strings":["CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China","institution_ids":["https://openalex.org/I4210106043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115596060","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-6838-1151"},"institutions":[{"id":"https://openalex.org/I4210106043","display_name":"Foundation for Ichthyosis and Related Skin Types","ror":"https://ror.org/01fq70c03","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCCC FIRST HIGHWAY CONSULTANTS CO.,LTD., China","institution_ids":["https://openalex.org/I4210106043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000952621"],"corresponding_institution_ids":["https://openalex.org/I4210106043"],"apc_list":null,"apc_paid":null,"fwci":0.2588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7329346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9952999949455261,"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/big-data","display_name":"Big data","score":0.6793560981750488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6622874736785889},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5723077654838562},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.536283016204834},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5263325572013855},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4414961636066437},{"id":"https://openalex.org/keywords/traffic-analysis","display_name":"Traffic analysis","score":0.44145455956459045},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43445098400115967},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41884294152259827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21117034554481506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.154664546251297},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12917375564575195},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11025574803352356},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.09355539083480835},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09258028864860535}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6793560981750488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622874736785889},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5723077654838562},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.536283016204834},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5263325572013855},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4414961636066437},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.44145455956459045},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43445098400115967},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41884294152259827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21117034554481506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.154664546251297},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12917375564575195},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11025574803352356},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.09355539083480835},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09258028864860535},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512576.3512661","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512576.3512661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 9th International Conference on Information Technology: IoT and Smart City","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":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2114092915","https://openalex.org/W2518103058","https://openalex.org/W4236187877"],"related_works":["https://openalex.org/W613665360","https://openalex.org/W2119660903","https://openalex.org/W3128550596","https://openalex.org/W125799710","https://openalex.org/W1525888863","https://openalex.org/W1635013959","https://openalex.org/W2348515567","https://openalex.org/W2392032216","https://openalex.org/W3013044429","https://openalex.org/W2141958076"],"abstract_inverted_index":{"City":[0],"area":[1,88,154],"traffic":[2,11,48,75,89,128,134,155],"demand":[3],"analysis":[4,50,91,109,157],"is":[5,40],"an":[6,105],"important":[7],"foundation":[8],"for":[9,107],"comprehensive":[10],"planning.":[12],"In":[13],"the":[14,17,45,70,73,79,112,117,123,150],"context":[15],"of":[16,20,47,72,116,127,152],"rapid":[18],"development":[19],"big":[21,96],"data":[22,56],"technology,":[23],"how":[24],"to":[25,84,110,148],"organically":[26],"combine":[27],"multi-source":[28,95],"data,":[29,62,65],"improve":[30,33,149],"model":[31,92],"accuracy,":[32],"work":[34,38],"efficiency":[35],"and":[36,66,114,130,138],"reduce":[37],"cost":[39],"a":[41,86,145],"key":[42],"issue":[43],"in":[44,132],"construction":[46],"generation":[49,76,90,156],"model.":[51,118],"This":[52,141],"paper":[53,142],"integrates":[54],"relevant":[55],"such":[57],"as":[58,104],"resident":[59],"travel":[60],"OD":[61],"population":[63],"migration":[64],"poi":[67],"data.":[68,97],"On":[69],"basis":[71],"traditional":[74],"model,":[77],"add":[78],"geographical":[80],"advantage":[81],"correction":[82],"factor":[83],"establish":[85],"city":[87,153],"based":[93],"on":[94],"And":[98],"take":[99],"Heyuan":[100],"City,":[101],"Guangdong":[102],"Province":[103],"example":[106],"case":[108],"demonstrate":[111],"validity":[113],"practicability":[115],"The":[119],"results":[120],"show":[121],"that":[122],"average":[124],"absolute":[125],"errors":[126],"production":[129],"attraction":[131],"all":[133],"communities":[135],"are":[136],"16.29%":[137],"14.98%":[139],"respectively.":[140],"can":[143],"provide":[144],"new":[146],"method":[147],"accuracy":[151],"modeling.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}