{"id":"https://openalex.org/W2061171440","doi":"https://doi.org/10.1145/2535708.2535715","title":"Exploring the intra-urban variations in the relationship among geographic accessibility to PHC services and socio-demographic factors","display_name":"Exploring the intra-urban variations in the relationship among geographic accessibility to PHC services and socio-demographic factors","publication_year":2013,"publication_date":"2013-11-05","ids":{"openalex":"https://openalex.org/W2061171440","doi":"https://doi.org/10.1145/2535708.2535715","mag":"2061171440"},"language":"en","primary_location":{"id":"doi:10.1145/2535708.2535715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2535708.2535715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083815674","display_name":"Tayyab Shah","orcid":"https://orcid.org/0000-0002-5328-7899"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Tayyab Ikram Shah","raw_affiliation_strings":["University of Saskatchewan, Saskatoon, SK Canada","University of Saskatchewan, Saskatoon, SK, Canada"],"affiliations":[{"raw_affiliation_string":"University of Saskatchewan, Saskatoon, SK Canada","institution_ids":["https://openalex.org/I32625721"]},{"raw_affiliation_string":"University of Saskatchewan, Saskatoon, SK, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047915893","display_name":"Scott Bell","orcid":"https://orcid.org/0000-0003-4713-4084"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Scott Bell","raw_affiliation_strings":["University of Saskatchewan, Saskatoon, SK Canada","University of Saskatchewan, Saskatoon, SK, Canada"],"affiliations":[{"raw_affiliation_string":"University of Saskatchewan, Saskatoon, SK Canada","institution_ids":["https://openalex.org/I32625721"]},{"raw_affiliation_string":"University of Saskatchewan, Saskatoon, SK, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083815674"],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":1.136,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85103102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9980999827384949,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9980999827384949,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/ordinary-least-squares","display_name":"Ordinary least squares","score":0.7279642820358276},{"id":"https://openalex.org/keywords/geographically-weighted-regression","display_name":"Geographically Weighted Regression","score":0.6651525497436523},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.6345211863517761},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.6155683994293213},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4993600845336914},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45593374967575073},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4495948851108551},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.44599488377571106},{"id":"https://openalex.org/keywords/census","display_name":"Census","score":0.4386264383792877},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4308179020881653},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41939157247543335},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.41729235649108887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3450923562049866},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.33468374609947205},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.21757331490516663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20255422592163086},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.1717529594898224},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10532018542289734}],"concepts":[{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.7279642820358276},{"id":"https://openalex.org/C2910321205","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geographically Weighted Regression","level":2,"score":0.6651525497436523},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.6345211863517761},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6155683994293213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4993600845336914},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45593374967575073},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4495948851108551},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.44599488377571106},{"id":"https://openalex.org/C52130261","wikidata":"https://www.wikidata.org/wiki/Q39825","display_name":"Census","level":3,"score":0.4386264383792877},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4308179020881653},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41939157247543335},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.41729235649108887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3450923562049866},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.33468374609947205},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.21757331490516663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20255422592163086},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.1717529594898224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10532018542289734}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2535708.2535715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2535708.2535715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310865","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63"},{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W40503549","https://openalex.org/W1498801991","https://openalex.org/W1500679131","https://openalex.org/W1565893470","https://openalex.org/W1599043334","https://openalex.org/W1827274168","https://openalex.org/W1954353602","https://openalex.org/W1988377065","https://openalex.org/W1992022798","https://openalex.org/W1992704744","https://openalex.org/W1997315441","https://openalex.org/W1999968761","https://openalex.org/W2009735503","https://openalex.org/W2011330606","https://openalex.org/W2012745138","https://openalex.org/W2033780219","https://openalex.org/W2044369383","https://openalex.org/W2046363656","https://openalex.org/W2057462204","https://openalex.org/W2070928619","https://openalex.org/W2092896908","https://openalex.org/W2094552270","https://openalex.org/W2096844058","https://openalex.org/W2107152852","https://openalex.org/W2123664443","https://openalex.org/W2130185468","https://openalex.org/W2139802541","https://openalex.org/W2140716923","https://openalex.org/W2141025530","https://openalex.org/W2143032577","https://openalex.org/W2149682964","https://openalex.org/W2166043141","https://openalex.org/W2797816625","https://openalex.org/W2921431948","https://openalex.org/W2921703104","https://openalex.org/W2992845944","https://openalex.org/W4294959435","https://openalex.org/W4299426141","https://openalex.org/W4388315048"],"related_works":["https://openalex.org/W2093761689","https://openalex.org/W1520214864","https://openalex.org/W2995340247","https://openalex.org/W3011225402","https://openalex.org/W2032807833","https://openalex.org/W2748959688","https://openalex.org/W2134006231","https://openalex.org/W2948227782","https://openalex.org/W2061862669","https://openalex.org/W3156966469"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,154],"investigate":[4],"the":[5,9,128,132,135,156,171,175,181,187,191,199,205,229],"intra-urban":[6,172],"variations":[7,173],"in":[8,122,131,141,174,197],"relationships":[10,176,200],"among":[11],"various":[12],"socio-demographic":[13,178,202],"factors":[14,59,179],"and":[15,47,90,180,204],"geographical":[16,206],"accessibility":[17,30,182,207],"to":[18,31,126,144,208],"primary":[19],"health":[20],"care":[21],"(PHC)":[22],"services":[23,33,210],"using":[24,50,72,85,117],"a":[25,37,51,77,86,107,118,212,220],"local":[26,38,194,213],"regression":[27,68,79,113,133,149,159,196],"model.":[28],"Geographic":[29],"PHC":[32,209],"is":[34,225],"calculated":[35],"at":[36,211],"scale":[39],"for":[40,81,94,103],"two":[41,73],"Canadian":[42],"urban":[43],"centers":[44],"(Calgary,":[45],"AB":[46],"Toronto,":[48],"ON)":[49],"three-step":[52],"floating":[53],"catchment":[54],"area":[55],"(3SFCA)":[56],"method.":[57],"Socio-demographic":[58],"were":[60],"derived":[61],"from":[62],"2006":[63],"Canada":[64],"census":[65],"data.":[66],"The":[67,167],"analysis":[69],"was":[70,101,115,139],"performed":[71],"different":[74],"methods:":[75,105],"1)":[76],"single":[78],"model":[80,114,138],"both":[82,104],"cities":[83],"together,":[84],"regional":[87],"dummy":[88],"variable,":[89],"2)":[91],"separate":[92],"models":[93,189],"each":[95],"city.":[96],"A":[97,184],"similar":[98],"modeling":[99,223],"procedure":[100],"applied":[102,155],"first,":[106],"best":[108,136],"Ordinary":[109],"Least":[110],"Squares":[111],"(OLS)":[112],"determined":[116],"forward":[119],"step-wise":[120],"approach":[121,224],"SPSS":[123],"software.":[124],"Next,":[125],"test":[127],"spatial":[129,165,195,232],"non-stationarity":[130],"residuals,":[134],"OLS":[137],"repeated":[140],"ArcGIS.":[142],"Further,":[143],"explore":[145],"whether":[146],"or":[147],"not":[148],"coefficients":[150],"vary":[151],"across":[152],"space,":[153],"geographically":[157],"weighted":[158],"(GWR)":[160],"method":[161],"with":[162,231],"an":[163],"adaptive":[164],"kernel.":[166],"GWR":[168,188],"results":[169,217],"exhibit":[170],"between":[177,201],"score.":[183],"comparison":[185],"of":[186,193],"demonstrates":[190],"benefit":[192],"disaggregating":[198],"variables":[203],"scale;":[214],"however,":[215],"our":[216],"suggest":[218],"that":[219],"more":[221],"careful":[222],"required":[226],"when":[227],"analysing":[228],"data":[230],"effects.":[233]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
