{"id":"https://openalex.org/W4392454064","doi":"https://doi.org/10.3390/ijgi13030081","title":"What Local Environments Drive Opportunities for Social Events? A New Approach Based on Bayesian Modeling in Dallas, Texas, USA","display_name":"What Local Environments Drive Opportunities for Social Events? A New Approach Based on Bayesian Modeling in Dallas, Texas, USA","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392454064","doi":"https://doi.org/10.3390/ijgi13030081"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi13030081","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13030081","pdf_url":"https://www.mdpi.com/2220-9964/13/3/81/pdf?version=1709648880","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/2220-9964/13/3/81/pdf?version=1709648880","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114099491","display_name":"Yalin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yalin Yang","raw_affiliation_strings":["School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA","School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA;","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056989269","display_name":"Yanan Wu","orcid":"https://orcid.org/0000-0002-7158-8767"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanan Wu","raw_affiliation_strings":["School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA","School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA;"],"raw_orcid":"https://orcid.org/0000-0002-7158-8767","affiliations":[{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA;","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008088605","display_name":"May Yuan","orcid":"https://orcid.org/0000-0002-9006-2920"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"May Yuan","raw_affiliation_strings":["School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA","School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, TX 75081, USA;","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008088605"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":{"value":1700,"currency":"CHF","value_usd":1893},"apc_paid":{"value":1700,"currency":"CHF","value_usd":1893},"fwci":1.5692,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82547741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"81","last_page":"81"},"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":0.9975000023841858,"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":0.9975000023841858,"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":0.9947999715805054,"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":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.557807207107544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39089539647102356},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34702152013778687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24539107084274292}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.557807207107544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39089539647102356},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34702152013778687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24539107084274292}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi13030081","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13030081","pdf_url":"https://www.mdpi.com/2220-9964/13/3/81/pdf?version=1709648880","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:d8743cc2389a4091a95da661b8c60334","is_oa":false,"landing_page_url":"https://doaj.org/article/d8743cc2389a4091a95da661b8c60334","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 13, Iss 3, p 81 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi13030081","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13030081","pdf_url":"https://www.mdpi.com/2220-9964/13/3/81/pdf?version=1709648880","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":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392454064.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W178485974","https://openalex.org/W1127033665","https://openalex.org/W1483231736","https://openalex.org/W1537940195","https://openalex.org/W1817561967","https://openalex.org/W1964086885","https://openalex.org/W1964168028","https://openalex.org/W1967137980","https://openalex.org/W1979724240","https://openalex.org/W1985101747","https://openalex.org/W1992802583","https://openalex.org/W2001391324","https://openalex.org/W2026169687","https://openalex.org/W2034009564","https://openalex.org/W2043614425","https://openalex.org/W2045544079","https://openalex.org/W2048021967","https://openalex.org/W2054768221","https://openalex.org/W2070829491","https://openalex.org/W2080283548","https://openalex.org/W2108432893","https://openalex.org/W2118898434","https://openalex.org/W2125491509","https://openalex.org/W2143075689","https://openalex.org/W2155409140","https://openalex.org/W2166643439","https://openalex.org/W2170523061","https://openalex.org/W2461824004","https://openalex.org/W2585647733","https://openalex.org/W2772577757","https://openalex.org/W2781972939","https://openalex.org/W2906627425","https://openalex.org/W2918209628","https://openalex.org/W2922705140","https://openalex.org/W2982490858","https://openalex.org/W2991358176","https://openalex.org/W3013807746","https://openalex.org/W3175998826","https://openalex.org/W4226135375","https://openalex.org/W4242269220","https://openalex.org/W4283645124","https://openalex.org/W4283650591","https://openalex.org/W4293567369","https://openalex.org/W4309191002","https://openalex.org/W4313278755","https://openalex.org/W6842590735"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"In-person":[0],"social":[1,15,26,38,67,94,112,157,175],"events":[2,16,95,113,158],"bring":[3],"people":[4,8,20,62],"to":[5,54,171],"places,":[6],"while":[7],"and":[9,13,22,33,51,61,77,109,135,165,189],"places":[10,36,60,193],"influence":[11],"where":[12,23],"what":[14,19],"occur.":[17],"Knowing":[18],"do":[21],"they":[24],"build":[25],"relationships":[27,188],"gives":[28],"insights":[29],"into":[30],"the":[31,56,64,75,80,87,107,116,129,178],"distribution":[32],"availability":[34],"of":[35,48,59,66,79,93,111,174],"for":[37,90,124,143,156,194],"functions.":[39],"We":[40],"developed":[41],"a":[42,121],"Bayesian":[43,83],"Network":[44,84],"model,":[45],"integrating":[46],"points":[47],"interest":[49],"(POIs)":[50],"sociodemographic":[52],"characteristics,":[53],"estimate":[55],"probabilistic":[57],"effects":[58],"on":[63],"presence":[65,88,108],"events.":[68],"A":[69,148],"case":[70],"study":[71],"in":[72],"Dallas":[73],"demonstrated":[74],"utility":[76],"performance":[78],"model.":[81],"The":[82],"model":[85,117,130],"predicted":[86],"likelihoods":[89,173],"seven":[91],"types":[92],"with":[96],"an":[97],"R2":[98],"value":[99],"around":[100],"0.83":[101],"(95%":[102],"confidence":[103],"interval).":[104],"For":[105],"both":[106],"absence":[110],"at":[114],"locations,":[115],"predictions":[118],"were":[119],"within":[120],"20%":[122],"error":[123],"most":[125],"event":[126,176],"types.":[127],"Furthermore,":[128],"suggested":[131],"POI,":[132],"age,":[133],"education,":[134],"population":[136],"density":[137],"configurations":[138],"as":[139],"important":[140],"contextual":[141],"variables":[142],"place\u2013event":[144],"associations":[145],"across":[146],"locations.":[147],"spatial":[149],"cluster":[150],"analysis":[151],"identified":[152],"likely":[153,168],"multifunctional":[154],"hotspots":[155],"(i.e.,":[159],"socially":[160],"vibrant":[161],"places).":[162],"While":[163],"psychological":[164],"cultural":[166],"factors":[167],"contribute":[169],"further":[170],"local":[172],"occurrences,":[177],"proposed":[179],"conceptually":[180],"informed":[181],"geospatial":[182],"data-science":[183],"approach":[184],"elucidated":[185],"intricate":[186],"place\u2013people\u2013event":[187],"implicates":[190],"inclusive,":[191],"participatory":[192],"urban":[195],"development.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}