{"id":"https://openalex.org/W3168786390","doi":"https://doi.org/10.3390/ijgi10060389","title":"Exploring the Spatiotemporal Patterns of Residents\u2019 Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China","display_name":"Exploring the Spatiotemporal Patterns of Residents\u2019 Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China","publication_year":2021,"publication_date":"2021-06-05","ids":{"openalex":"https://openalex.org/W3168786390","doi":"https://doi.org/10.3390/ijgi10060389","mag":"3168786390"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10060389","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10060389","pdf_url":"https://www.mdpi.com/2220-9964/10/6/389/pdf?version=1622873791","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/6/389/pdf?version=1622873791","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019285251","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0001-9210-6766"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China"],"raw_orcid":"https://orcid.org/0000-0001-9210-6766","affiliations":[{"raw_affiliation_string":"College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028938006","display_name":"Bin Meng","orcid":"https://orcid.org/0000-0002-1605-4826"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Meng","raw_affiliation_strings":["College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China"],"raw_orcid":"https://orcid.org/0000-0002-1605-4826","affiliations":[{"raw_affiliation_string":"College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347499","display_name":"Juan Wang","orcid":"https://orcid.org/0009-0007-1443-5311"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325193","display_name":"Siyu Chen","orcid":"https://orcid.org/0009-0007-0136-2969"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Chen","raw_affiliation_strings":["College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022560689","display_name":"Bin Tian","orcid":"https://orcid.org/0000-0002-5116-027X"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Tian","raw_affiliation_strings":["College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071881910","display_name":"Guoqing Zhi","orcid":"https://orcid.org/0000-0002-9190-5352"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Zhi","raw_affiliation_strings":["College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China"],"raw_orcid":"https://orcid.org/0000-0002-9190-5352","affiliations":[{"raw_affiliation_string":"College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028938006"],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":5.8102,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95593989,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"10","issue":"6","first_page":"389","last_page":"389"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9915000200271606,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.968999981880188,"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":0.7974269390106201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245330572128296},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6134868860244751},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4815443158149719},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4439551830291748},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41715484857559204},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4169695973396301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39326828718185425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38260722160339355},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.35883891582489014},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.34073108434677124},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23148763179779053}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7974269390106201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245330572128296},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6134868860244751},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4815443158149719},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4439551830291748},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41715484857559204},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4169695973396301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39326828718185425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38260722160339355},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.35883891582489014},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.34073108434677124},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23148763179779053},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10060389","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10060389","pdf_url":"https://www.mdpi.com/2220-9964/10/6/389/pdf?version=1622873791","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8d3efe943154783b199b36a9ac0e37f","is_oa":true,"landing_page_url":"https://doaj.org/article/d8d3efe943154783b199b36a9ac0e37f","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 6, p 389 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/6/389/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10060389","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"ISPRS International Journal of Geo-Information; Volume 10; Issue 6; Pages: 389","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10060389","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10060389","pdf_url":"https://www.mdpi.com/2220-9964/10/6/389/pdf?version=1622873791","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G1665776663","display_name":null,"funder_award_id":"2017YFB0503605","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2472636391","display_name":null,"funder_award_id":"ZK40202001","funder_id":"https://openalex.org/F4320322664","funder_display_name":"Beijing Union University"},{"id":"https://openalex.org/G6314736350","display_name":null,"funder_award_id":"2017 YFB 0503605","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7817044211","display_name":"\u57ce\u5e02\u8981\u7d20\u7a7a\u95f4\u5339\u914d\u6d4b\u5ea6\u4e0e\u6a21\u5f0f\u7814\u7a76","funder_award_id":"41671165","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"},{"id":"https://openalex.org/F4320322664","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3168786390.pdf","grobid_xml":"https://content.openalex.org/works/W3168786390.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W9019308","https://openalex.org/W1450448994","https://openalex.org/W1533841329","https://openalex.org/W1544466327","https://openalex.org/W1578991198","https://openalex.org/W1586896890","https://openalex.org/W1936633481","https://openalex.org/W1966571459","https://openalex.org/W1969085745","https://openalex.org/W1982300822","https://openalex.org/W1985101747","https://openalex.org/W1987228002","https://openalex.org/W1995664522","https://openalex.org/W2004602565","https://openalex.org/W2005097272","https://openalex.org/W2007782800","https://openalex.org/W2008803468","https://openalex.org/W2016326147","https://openalex.org/W2029149715","https://openalex.org/W2034636363","https://openalex.org/W2040941051","https://openalex.org/W2042143191","https://openalex.org/W2049875937","https://openalex.org/W2054512529","https://openalex.org/W2054780155","https://openalex.org/W2056284729","https://openalex.org/W2061396499","https://openalex.org/W2062092090","https://openalex.org/W2064091943","https://openalex.org/W2064786700","https://openalex.org/W2073072860","https://openalex.org/W2083251376","https://openalex.org/W2108684565","https://openalex.org/W2110673348","https://openalex.org/W2111000480","https://openalex.org/W2111325267","https://openalex.org/W2112620321","https://openalex.org/W2114978603","https://openalex.org/W2120025297","https://openalex.org/W2129284678","https://openalex.org/W2133286823","https://openalex.org/W2135903405","https://openalex.org/W2136840027","https://openalex.org/W2139153982","https://openalex.org/W2145549976","https://openalex.org/W2159397589","https://openalex.org/W2163283323","https://openalex.org/W2169064310","https://openalex.org/W2280025456","https://openalex.org/W2290531422","https://openalex.org/W2342271261","https://openalex.org/W2467333773","https://openalex.org/W2531072308","https://openalex.org/W2551510638","https://openalex.org/W2596334003","https://openalex.org/W2727038893","https://openalex.org/W2799597355","https://openalex.org/W2883171868","https://openalex.org/W2896457183","https://openalex.org/W2901558138","https://openalex.org/W2921712683","https://openalex.org/W2963032487","https://openalex.org/W2963083966","https://openalex.org/W3037120182","https://openalex.org/W3043291562","https://openalex.org/W3080889690","https://openalex.org/W3082568005","https://openalex.org/W3092224566","https://openalex.org/W3092284544","https://openalex.org/W3093533436","https://openalex.org/W3110649649","https://openalex.org/W4237581886","https://openalex.org/W6678094572","https://openalex.org/W6780158059"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2380455807"],"abstract_inverted_index":{"The":[0,48,86,101,114,181],"use":[1],"of":[2,17,50,54,66,107,118,127,136,161,174,228,243],"social":[3,229],"media":[4,230],"data":[5,8,98],"provided":[6],"powerful":[7],"support":[9],"to":[10,42,124,152,193],"reveal":[11],"the":[12,51,76,95,105,108,125,128,134,140,172,188,194,199,204,212,225,241],"spatiotemporal":[13,24,39,247],"characteristics":[14,126],"and":[15,25,38,45,75,116,130,221,235,246],"mechanisms":[16],"human":[18],"activity,":[19],"as":[20,150],"it":[21],"integrated":[22],"rich":[23],"textual":[26,55,216],"semantic":[27,37,56,217],"information.":[28],"However,":[29],"previous":[30],"research":[31,182,242],"has":[32],"not":[33],"fully":[34],"utilized":[35],"its":[36,43],"information,":[40],"due":[41],"technical":[44],"algorithmic":[46],"limitations.":[47],"efficiency":[49],"deep":[52],"mining":[53],"resources":[57],"was":[58,110,145,157,179],"also":[59],"low.":[60],"In":[61,209],"this":[62,210],"research,":[63,211],"a":[64,137,158,166,237],"multi-classification":[65],"text":[67,233],"model,":[68],"based":[69],"on":[70,143,154],"natural":[71],"language":[72],"processing":[73],"technology":[74],"Bidirectional":[77],"Encoder":[78],"Representations":[79],"from":[80],"Transformers":[81],"(BERT)":[82],"framework":[83,214],"is":[84],"constructed.":[85],"residents\u2019":[87,119,162,244],"activities":[88,120,129,163,245],"in":[89,99],"Beijing":[90],"were":[91,121,198],"then":[92],"classified":[93],"using":[94],"Sina":[96],"Weibo":[97],"2019.":[100],"results":[102],"showed":[103],"that":[104,153,164,184,202],"accuracy":[106],"classifications":[109],"more":[111],"than":[112],"90%.":[113],"types":[115],"distribution":[117],"closely":[122],"related":[123],"holiday":[131],"arrangements.":[132],"From":[133],"perspective":[135],"short":[138],"timescale,":[139],"activity":[141,206],"rhythm":[142],"weekends":[144],"delayed":[146],"by":[147],"one":[148],"hour":[149],"compared":[151],"weekdays.":[155],"There":[156],"significant":[159],"agglomeration":[160],"presented":[165],"spatial":[167,222],"co-location":[168,176],"cluster":[169,177,207],"pattern,":[170],"but":[171],"proportion":[173],"balanced":[175],"areas":[178,227],"small.":[180],"demonstrated":[183],"location":[185],"conditions,":[186],"especially":[187,232],"microlocation":[189],"condition":[190],"(the":[191],"distance":[192],"nearest":[195],"subway":[196],"station),":[197],"driving":[200],"factors":[201],"affected":[203],"resident":[205],"patterns.":[208],"proposed":[213],"integrates":[215],"analysis,":[218],"statistical":[219],"method,":[220],"techniques,":[223],"broadens":[224],"application":[226],"data,":[231,234],"provides":[236],"new":[238],"paradigm":[239],"for":[240],"behavior.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
