{"id":"https://openalex.org/W4220978010","doi":"https://doi.org/10.1145/3517222","title":"Data-driven Mobility Analysis and Modeling: Typical and Confined Life of a Metropolitan Population","display_name":"Data-driven Mobility Analysis and Modeling: Typical and Confined Life of a Metropolitan Population","publication_year":2022,"publication_date":"2022-03-29","ids":{"openalex":"https://openalex.org/W4220978010","doi":"https://doi.org/10.1145/3517222"},"language":"en","primary_location":{"id":"doi:10.1145/3517222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517222","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-03569051","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078502139","display_name":"Haron C. Fanticelli","orcid":"https://orcid.org/0000-0001-8725-174X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Haron C. Fanticelli","raw_affiliation_strings":["National Laboratory for Scientific Computing - LNCC, Brazil and Inria, France","inTeRnet BEyond the usual"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Scientific Computing - LNCC, Brazil and Inria, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"inTeRnet BEyond the usual","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039433926","display_name":"Solohaja Rabenjamina","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Solohaja Rabenjamina","raw_affiliation_strings":["Univ Lyon, Inria, INSA Lyon, CITI, Villeurbanne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Lyon, Inria, INSA Lyon, CITI, Villeurbanne, France","institution_ids":["https://openalex.org/I48430043","https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105232454","display_name":"Aline Carneiro Viana","orcid":"https://orcid.org/0000-0002-1483-6269"},"institutions":[{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aline Carneiro Viana","raw_affiliation_strings":["Inria, Palaiseau, France","inTeRnet BEyond the usual"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Palaiseau, France","institution_ids":["https://openalex.org/I4210126360"]},{"raw_affiliation_string":"inTeRnet BEyond the usual","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061933905","display_name":"Razvan Stanica","orcid":"https://orcid.org/0000-0002-4479-3976"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Razvan Stanica","raw_affiliation_strings":["Univ Lyon, INSA Lyon, Inria, CITI, Villeurbanne, France"],"raw_orcid":"https://orcid.org/0000-0002-4479-3976","affiliations":[{"raw_affiliation_string":"Univ Lyon, INSA Lyon, Inria, CITI, Villeurbanne, France","institution_ids":["https://openalex.org/I48430043","https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101618662","display_name":"Lucas Santos de Oliveira","orcid":"https://orcid.org/0000-0001-9184-3895"},"institutions":[{"id":"https://openalex.org/I345918524","display_name":"Southwest Bahia State University","ror":"https://ror.org/02rg6ka44","country_code":"BR","type":"education","lineage":["https://openalex.org/I345918524"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Santos De Oliveira","raw_affiliation_strings":["State University of Southwestern of Bahia - UESB, Jequi\u00e9, Bahia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of Southwestern of Bahia - UESB, Jequi\u00e9, Bahia, Brazil","institution_ids":["https://openalex.org/I345918524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010517387","display_name":"Artur Ziviani","orcid":"https://orcid.org/0000-0001-9326-8214"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Artur Ziviani","raw_affiliation_strings":["National Laboratory for Scientific Computing - LNCC, Petr\u00f3polis, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Scientific Computing - LNCC, Petr\u00f3polis, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.498,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73237509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"8","issue":"3","first_page":"1","last_page":"33"},"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":1.0,"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":1.0,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9854000210762024,"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/geography","display_name":"Geography","score":0.6673418283462524},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.6145602464675903},{"id":"https://openalex.org/keywords/geographic-mobility","display_name":"Geographic mobility","score":0.5936301946640015},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5697968006134033},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5640490055084229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47217100858688354},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4578394591808319},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.4516890347003937},{"id":"https://openalex.org/keywords/economic-geography","display_name":"Economic geography","score":0.450204998254776},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4127300977706909},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3334140181541443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19486290216445923},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17796722054481506},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.1435984969139099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13215899467468262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1193149983882904}],"concepts":[{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.6673418283462524},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.6145602464675903},{"id":"https://openalex.org/C76944698","wikidata":"https://www.wikidata.org/wiki/Q204671","display_name":"Geographic mobility","level":3,"score":0.5936301946640015},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5697968006134033},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5640490055084229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47217100858688354},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4578394591808319},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.4516890347003937},{"id":"https://openalex.org/C26271046","wikidata":"https://www.wikidata.org/wiki/Q187097","display_name":"Economic geography","level":1,"score":0.450204998254776},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4127300977706909},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3334140181541443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19486290216445923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17796722054481506},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.1435984969139099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13215899467468262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1193149983882904},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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":2,"locations":[{"id":"doi:10.1145/3517222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517222","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03569051v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03569051","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"ACM Transactions on Spatial Algorithms and Systems, 2022, 8 (3), pp.1-33. ⟨10.1145/3517222⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03569051v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03569051","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"ACM Transactions on Spatial Algorithms and Systems, 2022, 8 (3), pp.1-33. ⟨10.1145/3517222⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1882303714","https://openalex.org/W1967570846","https://openalex.org/W1976040640","https://openalex.org/W1987228002","https://openalex.org/W1994682066","https://openalex.org/W1996660370","https://openalex.org/W2007022751","https://openalex.org/W2024877464","https://openalex.org/W2042441131","https://openalex.org/W2050379740","https://openalex.org/W2056284729","https://openalex.org/W2080728354","https://openalex.org/W2083879935","https://openalex.org/W2095174648","https://openalex.org/W2097225206","https://openalex.org/W2099970772","https://openalex.org/W2110953678","https://openalex.org/W2150908758","https://openalex.org/W2158310505","https://openalex.org/W2158703410","https://openalex.org/W2235226029","https://openalex.org/W2275165515","https://openalex.org/W2283128066","https://openalex.org/W2337393108","https://openalex.org/W2406819242","https://openalex.org/W2548171507","https://openalex.org/W2559755935","https://openalex.org/W2963841188","https://openalex.org/W2979820005","https://openalex.org/W2982844456","https://openalex.org/W3006862509","https://openalex.org/W3010427554","https://openalex.org/W3019051739","https://openalex.org/W3020078450","https://openalex.org/W3020637175","https://openalex.org/W3036422000","https://openalex.org/W3038004094","https://openalex.org/W3039136074","https://openalex.org/W3040720680","https://openalex.org/W3042865808","https://openalex.org/W3044014021","https://openalex.org/W3046033700","https://openalex.org/W3083404396","https://openalex.org/W3088846270","https://openalex.org/W3096879084","https://openalex.org/W3097795338","https://openalex.org/W3099011804","https://openalex.org/W3102432178","https://openalex.org/W3115271663","https://openalex.org/W3117021508","https://openalex.org/W3130026954","https://openalex.org/W3136501627","https://openalex.org/W3153900319","https://openalex.org/W3198107104","https://openalex.org/W3212555876","https://openalex.org/W4252427944","https://openalex.org/W6794095483"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W4212929323","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2045046253","https://openalex.org/W2105110616","https://openalex.org/W2285948100"],"abstract_inverted_index":{"The":[0],"idea":[1],"of":[2,11,17,71,83,123,126,129,170,194,223,230,245,257,271,289,328,390,424],"using":[3],"mobile":[4,39],"phone":[5,40],"data":[6,41,73],"to":[7,80,94,110,115,139,209,239,266,274,371,377,402,439],"understand":[8],"the":[9,12,18,64,81,89,120,127,145,164,168,198,228,240,243,246,249,258,268,275,282,306,325,329,351,354,367,378,387,391,395,414,418,422,425,445],"impact":[10,419,434],"Covid-19":[13],"pandemic":[14],"and":[15,62,137,143,148,162,173,206,214,263,291,299,313,322,421],"that":[16,305,429],"sanitary":[19],"constraints":[20],"associated":[21],"with":[22,293,431],"it":[23,99,265],"on":[24,54,175,297,316],"human":[25],"mobility":[26,91,102,135,171,244,308,326],"imposed":[27,365],"itself":[28],"as":[29,338],"evidence":[30],"in":[31,88,151,192,197,233,242,287,319,344],"most":[32,335],"countries.":[33],"This":[34],"work":[35],"uses":[36],"spatiotemporal":[37],"aggregated":[38,117],"provided":[42],"by":[43,366,386],"a":[44,50,133,185,234,294,332,358,432],"major":[45],"French":[46,66],"telecom":[47],"operator,":[48],"covering":[49],"geographical":[51,200],"region":[52,201],"centered":[53],"Paris":[55],"for":[56],"early":[57],"2020,":[58],"i.e.,":[59,375],"periods":[60,159,346],"before":[61,161],"during":[63,163,350,413,444],"first":[65],"lockdown.":[67,415,446],"An":[68],"essential":[69],"property":[70],"this":[72],"is":[74,86],"its":[75,260],"fine-grained":[76],"spatial":[77],"resolution,":[78,98],"which,":[79],"best":[82],"our":[84],"knowledge,":[85],"unique":[87],"COVID-related":[90],"literature.":[92],"Contrarily":[93],"regions":[95],"or":[96],"country-wide":[97],"describes":[100],"population":[101,146,195,276,342],"flows":[103,150],"among":[104],"zones":[105,118,272,336,349],"ranging":[106],"from":[107],"0.025~km":[108],"2":[109,112,125],"5.40~km":[111],",":[113,188,226,262],"corresponding":[114,199],"326":[116],"over":[119],"total":[121],"area":[122],"93.76~km":[124],"city":[128,356],"Paris.":[130],"We":[131,217],"perform":[132],"data-driven":[134],"investigation":[136],"modeling":[138],"quantify":[140,167,267],"(in":[141],"space":[142],"time)":[144],"attendance":[147,196,290,314,343],"visiting":[149],"different":[152,221],"urban":[153,177],"areas.":[154,216],"Second,":[155,302],"when":[156],"looking":[157],"at":[158],"both":[160],"lockdown,":[165,352],"we":[166,183,253,427],"consequences":[169],"restrictions":[172,309,364],"decisions":[174],"an":[176],"scale.":[178],"For":[179],"this,":[180],"per":[181,255],"zone,":[182],"define":[184],"so-called":[186],"signature":[187],"which":[189],"captures":[190],"behaviors":[191],"terms":[193,288],"(i.e.,":[202],"their":[203,405,411],"land":[204,442],"use)":[205],"allows":[207],"us":[208],"automatically":[210],"detect":[211],"activity,":[212],"residential,":[213],"outlier":[215],"then":[218],"study":[219],"three":[220,250],"types":[222],"graph":[224,237],"centrality":[225,251],"quantifying":[227],"importance":[229,270],"each":[231],"zone":[232,256,285],"time-dependent":[235],"weighted":[236],"according":[238,273],"habits":[241,327],"population.":[247,330,393],"Combining":[248],"measures,":[252],"compute":[254],"city,":[259],"impact-factor":[261],"employ":[264],"global":[269],"mobility.":[277],"Our":[278],"results":[279,303],"firstly":[280],"reveal":[281],"population\u2019s":[283,379],"daily":[284],"preferences":[286,389],"mobility,":[292],"high":[295],"concentration":[296],"business":[298],"touristic":[300],"zones.":[301],"show":[304],"lockdown":[307,368],"significantly":[310],"reduced":[311],"visitation":[312,370,412],"patterns":[315],"zones,":[317,374,426],"mainly":[318,339],"central":[320],"Paris,":[321],"considerably":[323],"changed":[324],"As":[331],"side":[333],"effect,":[334],"identified":[337],"having":[340],"activity-related":[341],"typical":[345],"became":[347],"residential-related":[348],"turning":[353],"entire":[355],"into":[357],"residential-like":[359],"area.":[360],"Shorter":[361],"distance":[362],"displacement":[363],"increased":[369],"more":[372,437],"\u201clocal\u201d":[373],"close":[376],"primary":[380],"residence.":[381],"Decentralization":[382],"was":[383],"also":[384],"favored":[385],"paths":[388],"still-moving":[392],"On":[394],"other":[396],"side,":[397],"\u201cjogging":[398],"activities\u201d":[399],"allowing":[400],"people":[401],"be":[403],"outside":[404],"residences":[406],"impacted":[407],"parks":[408],"visitation,":[409],"increasing":[410],"By":[416],"combining":[417],"factor":[420,435],"signatures":[423],"notice":[428],"areas":[430],"higher":[433],"are":[436],"likely":[438],"maintain":[440],"regular":[441],"use":[443]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}