{"id":"https://openalex.org/W7160290355","doi":"https://doi.org/10.1016/j.ecoinf.2026.103805","title":"How urban-rural life experiences shape rural landscape preferences: Group differences and nonlinear threshold effects via VR UAV and interpretable machine learning","display_name":"How urban-rural life experiences shape rural landscape preferences: Group differences and nonlinear threshold effects via VR UAV and interpretable machine learning","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160290355","doi":"https://doi.org/10.1016/j.ecoinf.2026.103805"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2026.103805","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103805","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.ecoinf.2026.103805","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135318641","display_name":"Hongchao Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao Jiang","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135316415","display_name":"Lin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Dong","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135305025","display_name":"Yujie Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Ren","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135410738","display_name":"Zhiyang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyang Liu","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135400443","display_name":"Huiya Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiya Yang","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008850071","display_name":"H Y Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135311572","display_name":"Xiaolan Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolan Tang","raw_affiliation_strings":["School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5135311572"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86366152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"103805","last_page":"103805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.8932999968528748,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10692","display_name":"Urban Green Space and Health","score":0.8932999968528748,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.061900001019239426,"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/T12143","display_name":"Place Attachment and Urban Studies","score":0.007799999788403511,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/perception","display_name":"Perception","score":0.6184999942779541},{"id":"https://openalex.org/keywords/rural-area","display_name":"Rural area","score":0.46209999918937683},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.41769999265670776},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.3885999917984009},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.3659000098705292},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.3630000054836273},{"id":"https://openalex.org/keywords/landscape-assessment","display_name":"Landscape assessment","score":0.3361000120639801},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.29739999771118164}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6184999942779541},{"id":"https://openalex.org/C129047720","wikidata":"https://www.wikidata.org/wiki/Q175185","display_name":"Rural area","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4618000090122223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44130000472068787},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.39410001039505005},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.37790000438690186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3765000104904175},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35690000653266907},{"id":"https://openalex.org/C147858270","wikidata":"https://www.wikidata.org/wiki/Q6485078","display_name":"Landscape assessment","level":3,"score":0.3361000120639801},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C2780945536","wikidata":"https://www.wikidata.org/wiki/Q1117179","display_name":"Life satisfaction","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.28139999508857727},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ecoinf.2026.103805","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103805","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2026.103805","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103805","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6028382778167725,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335982","display_name":"Humanities and Social Science Fund of Ministry of Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1729955414","https://openalex.org/W1955966333","https://openalex.org/W1965193496","https://openalex.org/W1971053507","https://openalex.org/W1977798744","https://openalex.org/W1989143359","https://openalex.org/W1995516589","https://openalex.org/W1996552176","https://openalex.org/W1996704427","https://openalex.org/W2003873840","https://openalex.org/W2009334426","https://openalex.org/W2027568888","https://openalex.org/W2032582545","https://openalex.org/W2043566704","https://openalex.org/W2053396253","https://openalex.org/W2073262198","https://openalex.org/W2078351871","https://openalex.org/W2096842616","https://openalex.org/W2111275601","https://openalex.org/W2133999229","https://openalex.org/W2136765490","https://openalex.org/W2147595461","https://openalex.org/W2277198388","https://openalex.org/W2522781032","https://openalex.org/W2522940576","https://openalex.org/W2610402929","https://openalex.org/W2751293097","https://openalex.org/W2800951790","https://openalex.org/W2891430318","https://openalex.org/W2896148747","https://openalex.org/W2964253176","https://openalex.org/W2964327206","https://openalex.org/W2996705655","https://openalex.org/W3000706426","https://openalex.org/W3092250696","https://openalex.org/W3137486263","https://openalex.org/W3154496996","https://openalex.org/W3208687067","https://openalex.org/W4221096969","https://openalex.org/W4280643382","https://openalex.org/W4284892692","https://openalex.org/W4290374787","https://openalex.org/W4292295234","https://openalex.org/W4292962125","https://openalex.org/W4297539071","https://openalex.org/W4308599794","https://openalex.org/W4311128618","https://openalex.org/W4312174143","https://openalex.org/W4362475835","https://openalex.org/W4384103767","https://openalex.org/W4385492029","https://openalex.org/W4387421650","https://openalex.org/W4387746122","https://openalex.org/W4388264017","https://openalex.org/W4392979268","https://openalex.org/W4394865904","https://openalex.org/W4396831338","https://openalex.org/W4403758911","https://openalex.org/W4408667396","https://openalex.org/W4410979193","https://openalex.org/W4416297215"],"related_works":[],"abstract_inverted_index":{"Urban-rural":[0,350],"living":[1,34,84,133,351],"experience":[2,35,85,352],"can":[3],"shape":[4],"how":[5,82],"individuals":[6],"perceive":[7],"and":[8,47,50,76,108,113,117,123,147,160,176,184,195,205,224,235,246,284,313,321,338,370,378,385,403],"evaluate":[9],"rural":[10,87,169,229,273,323,346,362,408],"landscapes,":[11],"yet":[12],"it":[13],"has":[14],"rarely":[15],"been":[16],"treated":[17],"as":[18,354],"a":[19,61,100,300,355,419],"central":[20],"explanatory":[21,397],"factor":[22],"in":[23,56,361],"landscape":[24,39,88,137,201,274,324,347,363,409],"preference":[25,275],"research.":[26],"Moreover,":[27],"the":[28,44,259,392],"lack":[29],"of":[30,43,166,261,358],"systematic":[31],"analyses":[32],"integrating":[33,65,331],"with":[36,233,255,287],"refined":[37],"quantitative":[38],"assessment":[40],"limits":[41],"understanding":[42],"scope,":[45],"magnitude,":[46],"underlying":[48],"linear":[49],"nonlinear":[51,125,223,292,401],"mechanisms":[52],"shaping":[53],"experience-based":[54],"differences":[55,122],"preferences.":[57,138],"This":[58,297],"study":[59,298],"develops":[60],"multi-source":[62,307],"analytical":[63],"framework":[64,102,330],"computer":[66,332],"vision":[67],"(CV),":[68],"drone":[69],"aerial":[70],"photography,":[71],"virtual":[72],"reality":[73],"(VR)":[74],"experiments,":[75,312,337],"interpretable":[77,314,339],"machine":[78,315,340],"learning":[79,316,341],"to":[80,119,193,317,344],"examine":[81],"urban-rural":[83,132],"influences":[86],"visual":[89],"perception":[90,311],"satisfaction":[91],"(RLVPS).":[92],"Based":[93],"on":[94,174,215],"4428":[95],"valid":[96],"responses,":[97],"we":[98],"constructed":[99],"dual-indicator":[101],"linking":[103,306],"subjective":[104,282],"perceptual":[105,359,383],"indicators":[106,111,384],"(SPIs)":[107],"objective":[109,386],"environmental":[110,285,308,387],"(OEIs),":[112],"applied":[114],"OLS":[115],"regression":[116],"XGBoost-SHAP":[118,219],"compare":[120],"group":[121],"identify":[124],"threshold":[126,404],"effects.":[127,226],"The":[128],"results":[129],"showed":[130,395],"that":[131,272,289,407],"experiences":[134],"significantly":[135],"shaped":[136,278,389],"Seven":[139],"SPIs\u2014color":[140],"satisfaction,":[141],"cleanliness,":[142],"uniqueness,":[143],"authenticity,":[144],"livability,":[145],"belonging,":[146],"naturalness\u2014and":[148],"four":[149],"OEIs\u2014public":[150],"activity":[151,237],"space":[152,238],"area,":[153],"plant":[154],"species":[155],"richness,":[156],"road":[157,161,185],"surface":[158],"material,":[159],"area":[162,239],"proportion\u2014were":[163],"consistent":[164],"predictors":[165],"RLVPS.":[167],"However,":[168],"participants":[170,189,367,375],"placed":[171],"greater":[172],"emphasis":[173],"practical":[175,369],"functional":[177,371],"attributes,":[178],"including":[179,198],"fences,":[180],"signboards,":[181],"buildings,":[182],"bridges":[183],"accessibility,":[186],"whereas":[187,373],"urban":[188,251,374],"were":[190],"more":[191],"sensitive":[192],"aesthetic":[194,377],"ecological":[196,302,379],"features,":[197],"GVI,":[199],"water":[200],"quality,":[202],"vegetation":[203,256],"coverage,":[204],"tree":[206],"proportion.":[207],"In":[208],"both":[209],"groups,":[210],"SPIs":[211],"exerted":[212],"stronger":[213,396],"effects":[214,288,405],"RLVPS":[216,231,253],"than":[217,294,418],"OEIs.":[218],"further":[220],"revealed":[221],"widespread":[222],"threshold-dependent":[225],"For":[227],"example,":[228],"participants'":[230,252],"increased":[232,254],"SVF":[234],"public":[236],"only":[240],"within":[241,258],"limited":[242],"ranges":[243],"([0.55,":[244],"1.05\u20131.10]":[245],"[3,":[247],"7],":[248],"respectively),":[249],"while":[250],"coverage":[257],"range":[260],"[0,":[262],"0.2]":[263],"but":[264,391],"declined":[265],"beyond":[266],"[0.2,":[267],"0.85].":[268],"These":[269],"findings":[270],"demonstrate":[271],"is":[276,422],"jointly":[277],"by":[279,414],"experiential":[280],"background,":[281],"perception,":[283],"configuration,":[286],"are":[290],"often":[291],"rather":[293,417],"simply":[295],"additive.":[296],"provides":[299],"transferable":[301],"informatics":[303],"workflow":[304],"for":[305],"sensing,":[309],"immersive":[310],"support":[318],"evidence-based,":[319],"group-sensitive,":[320],"sustainable":[322],"planning.":[325],"\u2022":[326,349,365,381,399],"A":[327],"multi-source,":[328],"cross-scale":[329],"vision,":[333],"UAV":[334],"observation,":[335],"VR-based":[336],"was":[342],"developed":[343],"analyse":[345],"preference.":[348,364],"emerged":[353],"substantive":[356],"source":[357],"heterogeneity":[360],"Rural":[366],"prioritized":[368],"elements,":[372],"favored":[376],"features.":[380],"Subjective":[382],"features":[388],"preference,":[390],"former":[393],"consistently":[394],"power.":[398],"Widespread":[400],"relationships":[402],"suggest":[406],"optimization":[410],"should":[411],"be":[412],"guided":[413],"calibrated":[415],"intervention":[416],"simple":[420],"\u201cmore":[421],"better\u201d":[423],"logic.":[424]},"counts_by_year":[],"updated_date":"2026-05-13T06:04:23.736269","created_date":"2026-05-06T00:00:00"}
