{"id":"https://openalex.org/W2966052364","doi":"https://doi.org/10.1080/10095020.2019.1643609","title":"Measuring spatio-temporal autocorrelation in time series data of collective human mobility","display_name":"Measuring spatio-temporal autocorrelation in time series data of collective human mobility","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2966052364","doi":"https://doi.org/10.1080/10095020.2019.1643609","mag":"2966052364"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2019.1643609","doi":"https://doi.org/10.1080/10095020.2019.1643609","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2019.1643609","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2019.1643609?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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2019.1643609?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027777470","display_name":"Yong Chao Gao","orcid":"https://orcid.org/0000-0003-1562-6228","observed_orcids":["https://orcid.org/0000-0003-1562-6228"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Gao","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1562-6228","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078397516","display_name":"Jing Cheng","orcid":"https://orcid.org/0000-0001-9098-8048","observed_orcids":["https://orcid.org/0000-0001-9098-8048","https://orcid.org/0009-0004-7121-605X"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Cheng","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114113395","display_name":"Haohan Meng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haohan Meng","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345691","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0016-2902","observed_orcids":["https://orcid.org/0000-0002-0016-2902","https://orcid.org/0009-0002-6055-2790","https://orcid.org/0009-0003-4253-7121"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0016-2902","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100345691"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":6.8724,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96761092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"3","first_page":"166","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.5199999809265137,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.5199999809265137,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"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":0.4699999988079071,"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.005900000222027302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spatiotemporal-autocorrelation","display_name":"spatiotemporal autocorrelation","score":1.0},{"id":"https://openalex.org/keywords/time-series","display_name":"time series","score":0.7170000076293945},{"id":"https://openalex.org/keywords/local-indicators-of-spatial-association","display_name":"local indicators of spatial association","score":0.8790000081062317},{"id":"https://openalex.org/keywords/urban-mobility-patterns","display_name":"urban mobility patterns","score":0.6539999842643738},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.7730000019073486}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8285315036773682},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7449178695678711},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5502104163169861},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3734337091445923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3664294481277466},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25703665614128113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25013333559036255},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1179799735546112},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11645936965942383},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2019.1643609","doi":"https://doi.org/10.1080/10095020.2019.1643609","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2019.1643609","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2019.1643609?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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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:4e9f53ee7b31491daf22be986ed8e40a","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/4e9f53ee7b31491daf22be986ed8e40a","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,"listed_in":[],"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":"Geo-spatial Information Science, Vol 22, Iss 3, Pp 166-173 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2019.1643609","doi":"https://doi.org/10.1080/10095020.2019.1643609","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2019.1643609","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2019.1643609?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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","poland-40","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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":[{"score":1.0,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2966052364.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1524280500","https://openalex.org/W1932973189","https://openalex.org/W1949086040","https://openalex.org/W1966907703","https://openalex.org/W1967137980","https://openalex.org/W1972631516","https://openalex.org/W1973749534","https://openalex.org/W1978551333","https://openalex.org/W1985160654","https://openalex.org/W2021674713","https://openalex.org/W2024177114","https://openalex.org/W2052611179","https://openalex.org/W2098162994","https://openalex.org/W2118898434","https://openalex.org/W2399767476","https://openalex.org/W2710575985","https://openalex.org/W2905543970","https://openalex.org/W3149700931","https://openalex.org/W4229924171","https://openalex.org/W4247274424"],"related_works":["https://openalex.org/W2059978726","https://openalex.org/W3002680702","https://openalex.org/W2736562847","https://openalex.org/W2914647709","https://openalex.org/W2624604012","https://openalex.org/W7035894163","https://openalex.org/W3134644157","https://openalex.org/W2530088135","https://openalex.org/W1967844632","https://openalex.org/W2949456114"],"abstract_inverted_index":{"Massive":[0],"spatio-temporal":[1,69,123,132,142,165],"big":[2,70,166],"data":[3,17,36,71,102,167],"about":[4,72],"human":[5,73,113,170],"mobility":[6],"have":[7],"become":[8],"increasingly":[9],"available.":[10],"Revealing":[11],"underlying":[12,162],"dynamic":[13],"patterns":[14,149,163],"from":[15,164],"these":[16],"is":[18,30,120,158],"essential":[19],"for":[20,160],"understanding":[21],"people\u2019s":[22],"behavior":[23],"and":[24,40,53,139],"urban":[25],"deployment.":[26],"Spatio-temporal":[27],"autocorrelation":[28,47,89,124,133,143],"analysis":[29],"an":[31],"exploratory":[32],"approach":[33],"to":[34,62,68,85,99,106,168],"recognizing":[35],"distribution":[37],"in":[38,103],"space":[39],"time.":[41],"The":[42,115],"most":[43],"widely":[44],"used":[45],"spatial":[46,57,88,109,148],"measurements,":[48],"such":[49],"as":[50],"Moran\u2019s":[51,83],"I":[52,84],"local":[54],"indicators":[55],"of":[56,90,111,150],"association":[58],"(LISA),":[59],"only":[60],"apply":[61],"static":[63],"data,":[64],"so":[65],"are":[66],"powerless":[67],"mobility.":[74,114,171],"Thus,":[75],"we":[76],"proposed":[77],"a":[78],"new":[79],"method":[80,96,157],"by":[81],"extending":[82],"measure":[86],"the":[87,95,108,126,135,145],"time":[91],"series":[92],"data.":[93],"Then":[94],"was":[97],"applied":[98],"taxi":[100,151],"ride":[101],"Beijing,":[104],"China":[105],"reveal":[107],"pattern":[110],"collective":[112],"result":[116],"shows":[117],"that":[118],"there":[119],"strong":[121],"positive":[122],"within":[125],"5th":[127],"Ring":[128,137],"Road,":[129,138],"weak":[130],"negative":[131],"nearby":[134],"Sixth":[136],"almost":[140],"no":[141],"between":[144],"roads.":[146],"Local":[147],"travel":[152],"were":[153],"also":[154],"recognized.":[155],"This":[156],"useful":[159],"discovering":[161],"understand":[169]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-08-13T00:00:00"}
