{"id":"https://openalex.org/W4398210923","doi":"https://doi.org/10.1007/s44212-024-00049-5","title":"Graph attention networks unveil determinants of intra- and inter-city health disparity","display_name":"Graph attention networks unveil determinants of intra- and inter-city health disparity","publication_year":2024,"publication_date":"2024-05-22","ids":{"openalex":"https://openalex.org/W4398210923","doi":"https://doi.org/10.1007/s44212-024-00049-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44212-024-00049-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44212-024-00049-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44212-024-00049-5.pdf","source":{"id":"https://openalex.org/S4387283136","display_name":"Urban Informatics","issn_l":"2731-6963","issn":["2731-6963"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Urban Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s44212-024-00049-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045753732","display_name":"Chenyue Liu","orcid":"https://orcid.org/0000-0003-3528-8721"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chenyue Liu","raw_affiliation_strings":["Zachry Department of Civil and Environmental Engineering, Urban Resilience. AI Lab, Texas A&M University, College Station, USA"],"raw_orcid":"https://orcid.org/0000-0003-3528-8721","affiliations":[{"raw_affiliation_string":"Zachry Department of Civil and Environmental Engineering, Urban Resilience. AI Lab, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040664702","display_name":"Chao Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Fan","raw_affiliation_strings":["Glenn Department of Civil Engineering, Clemson University, SC, Clemson, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glenn Department of Civil Engineering, Clemson University, SC, Clemson, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023165780","display_name":"Ali Mostafavi","orcid":"https://orcid.org/0000-0002-9076-9408"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Mostafavi","raw_affiliation_strings":["Zachry Department of Civil and Environmental Engineering, Urban Resilience. AI Lab, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zachry Department of Civil and Environmental Engineering, Urban Resilience. AI Lab, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045753732"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.8488,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8347435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9940999746322632,"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/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9940999746322632,"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/T13283","display_name":"Mental Health Research Topics","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9502000212669373,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49271252751350403},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.489909827709198},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34046316146850586},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2863960564136505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49271252751350403},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.489909827709198},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34046316146850586},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2863960564136505}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s44212-024-00049-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44212-024-00049-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44212-024-00049-5.pdf","source":{"id":"https://openalex.org/S4387283136","display_name":"Urban Informatics","issn_l":"2731-6963","issn":["2731-6963"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Urban Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s44212-024-00049-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44212-024-00049-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44212-024-00049-5.pdf","source":{"id":"https://openalex.org/S4387283136","display_name":"Urban Informatics","issn_l":"2731-6963","issn":["2731-6963"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Urban Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1163486300","display_name":null,"funder_award_id":"X-Grant 699","funder_id":"https://openalex.org/F4320310164","funder_display_name":"Texas A and M University"}],"funders":[{"id":"https://openalex.org/F4320310164","display_name":"Texas A and M University","ror":"https://ror.org/01f5ytq51"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398210923.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1991726551","https://openalex.org/W2049813862","https://openalex.org/W2066806488","https://openalex.org/W2068349382","https://openalex.org/W2073334466","https://openalex.org/W2165448571","https://openalex.org/W2760726346","https://openalex.org/W2770872351","https://openalex.org/W2773338239","https://openalex.org/W2911463622","https://openalex.org/W2921244893","https://openalex.org/W2954968328","https://openalex.org/W3000120900","https://openalex.org/W3208143753","https://openalex.org/W4281558661"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Abstract":[0],"Understanding":[1],"the":[2,30,55,123,130,138,143,152,171,187,201,221,257],"determinants":[3],"underlying":[4],"variations":[5],"in":[6,37,68,100,125,148,211,226,253],"urban":[7,14,26,239],"health":[8,22,144,172,188,209,227,244,251],"status":[9,145,173,189,210],"is":[10],"important":[11],"for":[12,238],"informing":[13],"design":[15],"and":[16,39,54,58,65,77,86,102,163,224,231,236,242,249,261],"planning,":[17],"as":[18,20,114,116],"well":[19,115],"public":[21,243],"policies.":[23],"Multiple":[24],"heterogeneous":[25,46],"features":[27,47,97,165,169,192,260],"could":[28,185],"modulate":[29],"prevalence":[31,69],"of":[32,70,146,174],"diseases":[33],"across":[34,40,129],"different":[35,41],"neighborhoods":[36,149,175],"cities":[38,128,254],"cities.":[42],"This":[43],"study":[44],"examines":[45],"related":[48,81],"to":[49,62,82,109,176,219,246],"socio-demographics,":[50],"population":[51,83,161],"activity,":[52,84],"mobility,":[53,85],"built":[56],"environment":[57],"their":[59,262],"non-linear":[60,111],"interactions":[61,113],"examine":[63],"intra-":[64],"inter-city":[66,222],"disparity":[67],"four":[71,131],"disease":[72,132],"types:":[73],"obesity,":[74],"diabetes,":[75],"cancer,":[76],"heart":[78],"disease.":[79],"Features":[80],"facility":[87],"density":[88],"are":[89,98],"obtained":[90],"from":[91],"large-scale":[92],"anonymized":[93],"mobility":[94],"data.":[95],"These":[96],"used":[99],"training":[101],"testing":[103],"graph":[104],"attention":[105],"network":[106],"(GAT)":[107],"models":[108,124],"capture":[110],"feature":[112],"spatial":[117],"interdependence":[118],"among":[119],"neighborhoods.":[120],"We":[121],"tested":[122],"five":[126,154],"U.S.":[127],"types.":[133],"The":[134,157,196,229],"results":[135,197],"show":[136,199],"that":[137,160,181,200],"GAT":[139,183],"model":[140,184,202,230],"can":[141,207],"predict":[142,186,208],"people":[147],"based":[150],"on":[151,204],"top":[153],"determinant":[155,259],"features.":[156],"findings":[158,232],"unveil":[159],"activity":[162],"built-environment":[164],"along":[166],"with":[167,193,214],"socio-demographic":[168],"differentiate":[170],"such":[177],"a":[178,182],"great":[179],"extent":[180],"using":[190],"these":[191],"high":[194,215],"performance.":[195],"also":[198],"trained":[203],"one":[205],"city":[206,213],"another":[212],"performance,":[216],"allowing":[217],"us":[218],"quantify":[220],"similarity":[223],"discrepancy":[225],"status.":[228],"provide":[233],"novel":[234],"approaches":[235],"insights":[237],"designers,":[240],"planners,":[241],"officials":[245],"better":[247],"understand":[248],"improve":[250],"disparities":[252],"by":[255],"considering":[256],"significant":[258],"interactions.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}