{"id":"https://openalex.org/W4395111823","doi":"https://doi.org/10.1080/17538947.2024.2344596","title":"TR2RM: an urban road network generation model based on multisource big data","display_name":"TR2RM: an urban road network generation model based on multisource big data","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4395111823","doi":"https://doi.org/10.1080/17538947.2024.2344596"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2024.2344596","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2344596","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2024.2344596","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047013658","display_name":"Xue Yang","orcid":"https://orcid.org/0000-0001-8182-9504"},"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":"Xue Yang","raw_affiliation_strings":["National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, People\u2019s Republic of China","School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086413239","display_name":"Xiang Fan","orcid":"https://orcid.org/0000-0002-3632-1493"},"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":"Xiang Fan","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104287122","display_name":"Yichun Su","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":"Yichun Su","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063647157","display_name":"Qingfeng Guan","orcid":"https://orcid.org/0000-0002-7392-3709"},"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":true,"raw_author_name":"Qingfeng Guan","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076702960","display_name":"Luliang Tang","orcid":"https://orcid.org/0000-0003-3523-8994"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luliang Tang","raw_affiliation_strings":["State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063647157"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":2.4676,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87992231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.9962999820709229,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/big-data","display_name":"Big data","score":0.6324716806411743},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.539016604423523},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.44431352615356445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43531185388565063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3643217980861664}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6324716806411743},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.539016604423523},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.44431352615356445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43531185388565063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3643217980861664}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2024.2344596","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2344596","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5704d396be87409cba569d4cf94c9e53","is_oa":false,"landing_page_url":"https://doaj.org/article/5704d396be87409cba569d4cf94c9e53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 17, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2024.2344596","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2024.2344596","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4090034810","display_name":null,"funder_award_id":"42271449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1972101161","https://openalex.org/W1979784968","https://openalex.org/W2022902702","https://openalex.org/W2025221437","https://openalex.org/W2033969525","https://openalex.org/W2039367092","https://openalex.org/W2096579040","https://openalex.org/W2130103520","https://openalex.org/W2155226776","https://openalex.org/W2412782625","https://openalex.org/W2592939477","https://openalex.org/W2630837129","https://openalex.org/W2638069280","https://openalex.org/W2735039185","https://openalex.org/W2768723587","https://openalex.org/W2888834993","https://openalex.org/W2893801697","https://openalex.org/W2898504016","https://openalex.org/W2898549067","https://openalex.org/W2943898693","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2981689412","https://openalex.org/W2994847929","https://openalex.org/W2995969896","https://openalex.org/W2998556100","https://openalex.org/W3021297918","https://openalex.org/W3042587578","https://openalex.org/W3092100073","https://openalex.org/W3105636206","https://openalex.org/W3120190876","https://openalex.org/W3121619677","https://openalex.org/W3147101769","https://openalex.org/W3181264902","https://openalex.org/W3187694379","https://openalex.org/W3190518009","https://openalex.org/W3203828160","https://openalex.org/W4297539140","https://openalex.org/W4313432534","https://openalex.org/W4365601249","https://openalex.org/W4379514142"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2308616044","https://openalex.org/W1482410789"],"abstract_inverted_index":{"Road":[0],"networks":[1],"are":[2,38],"an":[3,50],"important":[4],"part":[5],"of":[6,18,83,106,125,159,168,174],"transportation":[7],"infrastructure":[8],"through":[9],"which":[10,37,115],"people":[11],"experience":[12],"a":[13,26,107,133],"city.":[14],"The":[15,86,101,129,162],"existing":[16,34],"methods":[17],"vector":[19,141],"map":[20,92,142],"data":[21,28],"generation":[22,93],"mainly":[23],"depend":[24],"on":[25,65,90,180],"single":[27],"source,":[29],"e.g.":[30],"images,":[31],"trajectories,":[32],"or":[33],"raster":[35],"maps,":[36],"limited":[39],"by":[40,69,94],"information":[41],"fragmentation":[42],"due":[43],"to":[44,61,118,138,155],"incomplete":[45],"data.":[46],"This":[47],"study":[48],"proposes":[49],"urban":[51],"road":[52,177],"network":[53,110,178],"extraction":[54],"framework":[55,80],"named":[56],"trajectory":[57,77],"and":[58,147,172,186,190,193,195,197],"remote-sensing":[59],"image":[60],"RoadMap":[62],"(TR2RM)":[63],"based":[64,179],"deep":[66],"learning":[67],"technology":[68],"combining":[70],"high-resolution":[71],"remote":[72,96],"sensing":[73,97],"images":[74,98],"with":[75,99],"big":[76],"data;":[78],"this":[79],"is":[81,104,116,132],"composed":[82,105],"three":[84],"components.":[85],"first":[87,127],"component":[88,103,131],"focuses":[89],"feature":[91],"fusing":[95],"trajectories.":[100],"second":[102],"novel":[108],"neural":[109],"architecture":[111],"denoted":[112],"as":[113,149],"AD-LinkNet,":[114],"used":[117],"identify":[119],"roads":[120],"from":[121],"the":[122,126,140,157,160,166,170,175,181],"fused":[123],"dataset":[124],"component.":[128],"last":[130],"postprocessing":[134],"step":[135],"that":[136,165],"aims":[137],"generate":[139],"accurately.":[143],"Taking":[144],"Rome,":[145,184],"Beijing,":[146,185],"Wuhan":[148,187],"examples,":[150],"we":[151],"conduct":[152],"extensive":[153],"experiments":[154],"verify":[156],"effectiveness":[158],"TR2RM.":[161],"results":[163],"showed":[164],"correctness":[167],"both":[169],"topology":[171],"geometry":[173],"generated":[176],"TR2RM":[182],"in":[183],"was":[188],"83.86%":[189],"88.27%,":[191],"74.72%":[192],"80.36%,":[194],"73.83%":[196],"77.7%,":[198],"respectively.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
