{"id":"https://openalex.org/W4388696053","doi":"https://doi.org/10.1080/10095020.2023.2273826","title":"Mapping local-scale working population and daytime population densities using points-of-interest and nighttime light satellite imageries","display_name":"Mapping local-scale working population and daytime population densities using points-of-interest and nighttime light satellite imageries","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4388696053","doi":"https://doi.org/10.1080/10095020.2023.2273826"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2023.2273826","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2023.2273826","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2273826?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2273826?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065436711","display_name":"Yeran Sun","orcid":"https://orcid.org/0000-0002-6847-614X"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yeran Sun","raw_affiliation_strings":["Department of Geography, School of Life and Environmental Sciences, University of Lincoln, Lincoln, UK"],"raw_orcid":"https://orcid.org/0000-0002-6847-614X","affiliations":[{"raw_affiliation_string":"Department of Geography, School of Life and Environmental Sciences, University of Lincoln, Lincoln, UK","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019194123","display_name":"Jing Xie","orcid":"https://orcid.org/0000-0003-3787-9648"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Xie","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3787-9648","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685031","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-8890-5434"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Department of Urban and Rural Planning, School of Architecture, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urban and Rural Planning, School of Architecture, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024246174","display_name":"Ting On Chan","orcid":"https://orcid.org/0000-0002-3318-7540"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting On Chan","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3318-7540","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005681182","display_name":"Zhao\u2010Yong Sun","orcid":"https://orcid.org/0000-0002-8191-9283"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao-Yong Sun","raw_affiliation_strings":["School of Economics and Management, Xi\u2019an University of Technology, Xi\u2019an, China","School of Economics and Management, Xi'an University of Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8191-9283","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Xi\u2019an University of Technology, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Economics and Management, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019194123"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":1.0386,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75468034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":"6","first_page":"1852","last_page":"1867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9948999881744385,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9887999892234802,"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/population","display_name":"Population","score":0.5724401473999023},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5293298959732056},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5269212126731873},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5065091848373413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.500633716583252},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4885035753250122},{"id":"https://openalex.org/keywords/daytime","display_name":"Daytime","score":0.4841364324092865},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.48094671964645386},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4281196892261505},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.34371939301490784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2547279894351959}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5724401473999023},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5293298959732056},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5269212126731873},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5065091848373413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.500633716583252},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4885035753250122},{"id":"https://openalex.org/C162725370","wikidata":"https://www.wikidata.org/wiki/Q52643","display_name":"Daytime","level":2,"score":0.4841364324092865},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.48094671964645386},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4281196892261505},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.34371939301490784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2547279894351959},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/10095020.2023.2273826","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2023.2273826","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2273826?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:08dd003e92de44eea016d90082d044aa","is_oa":false,"landing_page_url":"https://doaj.org/article/08dd003e92de44eea016d90082d044aa","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":"Geo-spatial Information Science, Vol 27, Iss 6, Pp 1852-1867 (2024)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/25306174","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Mapping_local-scale_working_population_and_daytime_population_densities_using_points-of-interest_and_nighttime_light_satellite_imageries/25306174","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1080/10095020.2023.2273826","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2023.2273826","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2273826?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388696053.pdf","grobid_xml":"https://content.openalex.org/works/W4388696053.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W193031964","https://openalex.org/W1513618424","https://openalex.org/W1518887052","https://openalex.org/W1980305194","https://openalex.org/W1987230720","https://openalex.org/W2012214861","https://openalex.org/W2045007547","https://openalex.org/W2046905750","https://openalex.org/W2052611179","https://openalex.org/W2055992762","https://openalex.org/W2081516178","https://openalex.org/W2092636572","https://openalex.org/W2096800088","https://openalex.org/W2099178316","https://openalex.org/W2112620321","https://openalex.org/W2132545125","https://openalex.org/W2144314902","https://openalex.org/W2163605009","https://openalex.org/W2230486561","https://openalex.org/W2283654475","https://openalex.org/W2328635747","https://openalex.org/W2334722929","https://openalex.org/W2462180963","https://openalex.org/W2483963589","https://openalex.org/W2552181858","https://openalex.org/W2586749094","https://openalex.org/W2591436041","https://openalex.org/W2737706773","https://openalex.org/W2742305379","https://openalex.org/W2756368625","https://openalex.org/W2766254866","https://openalex.org/W2788079077","https://openalex.org/W2790055919","https://openalex.org/W2802126623","https://openalex.org/W2802491896","https://openalex.org/W2803593937","https://openalex.org/W2883273084","https://openalex.org/W2888794057","https://openalex.org/W2902137884","https://openalex.org/W2903557836","https://openalex.org/W2911964244","https://openalex.org/W2919234612","https://openalex.org/W2922103469","https://openalex.org/W3087238349","https://openalex.org/W3118930884","https://openalex.org/W3124255880","https://openalex.org/W3157283162","https://openalex.org/W3164898554","https://openalex.org/W3210212448","https://openalex.org/W4235985836","https://openalex.org/W4248009905","https://openalex.org/W4297729205","https://openalex.org/W6675835627","https://openalex.org/W6737689805","https://openalex.org/W6986767665"],"related_works":["https://openalex.org/W3081293791","https://openalex.org/W2072650855","https://openalex.org/W3108670580","https://openalex.org/W1986730386","https://openalex.org/W2043317507","https://openalex.org/W82438832","https://openalex.org/W2931688134","https://openalex.org/W124567884","https://openalex.org/W2035239275","https://openalex.org/W2377919138"],"abstract_inverted_index":{"In":[0,67,84],"this":[1,68],"study,":[2],"we":[3,16,70,86],"proposed":[4,189],"a":[5,56,95,182],"multi-source":[6,28,190],"approach":[7,191],"for":[8],"mapping":[9,195,212],"local-scale":[10,196],"population":[11,23,33,65,114,197],"density":[12],"of":[13,98,185],"England.":[14],"Specifically,":[15],"mapped":[17],"both":[18],"the":[19,27,89,102,123,132,141,147,152,166,169],"working":[20,62],"and":[21,40,51,76,105,119,205],"daytime":[22,64],"densities":[24],"by":[25],"integrating":[26],"data":[29,54,75,93,167,180,208],"such":[30],"as":[31],"residential":[32],"density,":[34,36],"point-of-interest":[35,37],"category":[38],"mix,":[39],"nighttime":[41],"light":[42],"intensity.":[43],"It":[44,137,199],"is":[45,138,209],"demonstrated":[46],"that":[47,122,140,201],"combining":[48,202],"remote":[49,203],"sensing":[50,53,204,207],"social":[52,206],"provides":[55],"plausible":[57],"way":[58],"to":[59,112,178,211],"map":[60,113],"annual":[61],"or":[63],"densities.":[66],"paper,":[69],"trained":[71,164],"models":[72,80,90,109,126,145,163],"with":[73,81,91,165],"England-wide":[74,92],"subsequently":[77],"tested":[78,88],"these":[79],"Wales-wide":[82],"data.":[83],"addition,":[85],"further":[87],"at":[94,131,151,168,181],"higher":[96,183],"level":[97,156,173,184],"spatial":[99,186],"granularity.":[100,187],"Particularly,":[101],"random":[103],"forest":[104],"convolutional":[106,142],"neural":[107,143],"network":[108,144],"were":[110],"adopted":[111],"density.":[115,198],"The":[116,162,188],"estimated":[117],"results":[118],"validation":[120],"suggest":[121],"three":[124],"built":[125],"have":[127,146],"high":[128],"prediction":[129,149],"accuracies":[130,150],"local":[133,153,170],"authority":[134,154,171],"district":[135,155,172],"level.":[136],"shown":[139],"greatest":[148],"though":[157],"they":[158],"are":[159,174],"most":[160],"time-consuming.":[161],"less":[175],"appropriately":[176],"applicable":[177],"test":[179],"performs":[192],"well":[193],"in":[194],"indicates":[200],"advantageous":[210],"socioeconomic":[213],"variables.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
