{"id":"https://openalex.org/W4390913833","doi":"https://doi.org/10.1140/epjds/s13688-023-00447-w","title":"Comparison of home detection algorithms using smartphone GPS data","display_name":"Comparison of home detection algorithms using smartphone GPS data","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390913833","doi":"https://doi.org/10.1140/epjds/s13688-023-00447-w"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-023-00447-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00447-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00447-w","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00447-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080431457","display_name":"Rajat Verma","orcid":"https://orcid.org/0000-0002-2273-8706"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rajat Verma","raw_affiliation_strings":["Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0002-2273-8706","affiliations":[{"raw_affiliation_string":"Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087401191","display_name":"Shagun Mittal","orcid":"https://orcid.org/0000-0003-2195-7197"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shagun Mittal","raw_affiliation_strings":["Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036973078","display_name":"Zengxiang Lei","orcid":"https://orcid.org/0000-0002-7639-438X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zengxiang Lei","raw_affiliation_strings":["Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457829","display_name":"Xiaowei Chen","orcid":"https://orcid.org/0000-0002-1300-5922"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaowei Chen","raw_affiliation_strings":["Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108695718","display_name":"Satish V. Ukkusuri","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satish V. Ukkusuri","raw_affiliation_strings":["Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette, 47907, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080431457"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":12.7518,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98809102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9925000071525574,"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":0.9871000051498413,"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/geolocation","display_name":"Geolocation","score":0.7702534198760986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6215776801109314},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5566462278366089},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.48161691427230835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3380914330482483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22900959849357605}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.7702534198760986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6215776801109314},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5566462278366089},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.48161691427230835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3380914330482483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22900959849357605},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-023-00447-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00447-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00447-w","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6e3e300b6d4d4c4a8520e9b3df0b756b","is_oa":true,"landing_page_url":"https://doaj.org/article/6e3e300b6d4d4c4a8520e9b3df0b756b","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":"EPJ Data Science, Vol 13, Iss 1, Pp 1-22 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-023-00447-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-023-00447-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-023-00447-w","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data 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/W4390913833.pdf","grobid_xml":"https://content.openalex.org/works/W4390913833.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W29935650","https://openalex.org/W303840672","https://openalex.org/W1036402534","https://openalex.org/W1599541430","https://openalex.org/W1651166699","https://openalex.org/W1804959266","https://openalex.org/W1809720746","https://openalex.org/W1977752466","https://openalex.org/W1982300822","https://openalex.org/W1994273294","https://openalex.org/W2009155608","https://openalex.org/W2046026089","https://openalex.org/W2054448337","https://openalex.org/W2056495296","https://openalex.org/W2057923756","https://openalex.org/W2067191022","https://openalex.org/W2108335620","https://openalex.org/W2110953678","https://openalex.org/W2125189556","https://openalex.org/W2133400794","https://openalex.org/W2167686542","https://openalex.org/W2221968611","https://openalex.org/W2280025456","https://openalex.org/W2409483074","https://openalex.org/W2467243775","https://openalex.org/W2469717596","https://openalex.org/W2538524215","https://openalex.org/W2556289220","https://openalex.org/W2562747988","https://openalex.org/W2584179300","https://openalex.org/W2739831441","https://openalex.org/W2785593484","https://openalex.org/W2791683943","https://openalex.org/W2813703984","https://openalex.org/W2890846040","https://openalex.org/W2894088936","https://openalex.org/W2896610010","https://openalex.org/W2899628709","https://openalex.org/W2913235236","https://openalex.org/W2923311191","https://openalex.org/W2950820367","https://openalex.org/W2964060167","https://openalex.org/W2982497289","https://openalex.org/W3004784139","https://openalex.org/W3005967292","https://openalex.org/W3023441252","https://openalex.org/W3036690743","https://openalex.org/W3042768748","https://openalex.org/W3045759383","https://openalex.org/W3089479994","https://openalex.org/W3092846951","https://openalex.org/W3102004405","https://openalex.org/W3105674733","https://openalex.org/W3114373793","https://openalex.org/W3119694448","https://openalex.org/W3135888077","https://openalex.org/W3164103084","https://openalex.org/W3168571978","https://openalex.org/W3188581123","https://openalex.org/W3200769446","https://openalex.org/W4237357809","https://openalex.org/W4287203953","https://openalex.org/W4292575440"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2163194970","https://openalex.org/W3105229732","https://openalex.org/W2799094075","https://openalex.org/W2892370851","https://openalex.org/W2945387931","https://openalex.org/W2187946387","https://openalex.org/W2052024186","https://openalex.org/W2939141610","https://openalex.org/W4310429133"],"abstract_inverted_index":{"Abstract":[0],"Estimation":[1],"of":[2,78,102,120,131,169,175,206,219],"people\u2019s":[3],"home":[4,23,80,136,186],"locations":[5,81],"using":[6,43,196],"location-based":[7],"services":[8],"data":[9,123,133,167],"from":[10],"smartphones":[11],"is":[12],"a":[13,99],"common":[14,159],"task":[15],"in":[16,62,185,193],"human":[17,221],"mobility":[18,207,222],"assessment.":[19],"However,":[20],"commonly":[21,53],"used":[22,54],"detection":[24,187],"algorithms":[25],"(HDAs)":[26],"are":[27],"often":[28],"arbitrary":[29],"and":[30,39,82,117,156,203],"unexamined.":[31],"In":[32],"this":[33,63],"study,":[34],"we":[35,69,180],"review":[36],"existing":[37],"HDAs":[38,42,55,142],"examine":[40],"five":[41],"eight":[44,86],"high-quality":[45],"mobile":[46],"phone":[47],"geolocation":[48,122],"datasets.":[49],"These":[50],"include":[51],"four":[52,89],"as":[56,58],"well":[57],"an":[59],"HDA":[60,108],"proposed":[61,107],"work.":[64],"To":[65],"make":[66],"quantitative":[67],"comparisons,":[68],"propose":[70],"three":[71,96],"novel":[72],"metrics":[73,97,148],"to":[74,150,158,190,215],"assess":[75],"the":[76,106,110,115,121,128,132,162,170,173,183,217],"quality":[77,168],"detected":[79],"test":[83],"them":[84],"on":[85],"datasets":[87],"across":[88],"U.S.":[90],"cities.":[91],"We":[92,112,138],"find":[93,140],"that":[94,114,141],"all":[95],"show":[98,181],"consistent":[100],"rank":[101],"HDAs\u2019":[103],"performances,":[104],"with":[105,143,153,165,209],"outperforming":[109],"others.":[111],"infer":[113],"temporal":[116],"spatial":[118],"continuity":[119],"points":[124],"matters":[125],"more":[126],"than":[127],"overall":[129],"size":[130],"for":[134],"accurate":[135],"detection.":[137],"also":[139],"high":[144],"(and":[145],"similar)":[146],"performance":[147,163,177],"tend":[149],"create":[151],"results":[152],"better":[154],"consistency":[155],"closer":[157],"expectations.":[160],"Further,":[161],"deteriorates":[164],"decreasing":[166],"devices,":[171],"though":[172],"patterns":[174,208],"relative":[176],"persist.":[178],"Finally,":[179],"how":[182],"differences":[184,192],"can":[188],"lead":[189],"substantial":[191],"subsequent":[194],"inferences":[195],"two":[197],"case":[198],"studies\u2014(i)":[199],"hurricane":[200],"evacuation":[201],"estimation,":[202],"(ii)":[204],"correlation":[205],"socioeconomic":[210],"status.":[211],"Our":[212],"work":[213],"contributes":[214],"improving":[216],"transparency":[218],"large-scale":[220],"assessment":[223],"applications.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
