Comparing alternative methods to measuring pedestrian access to community pharmacies

Detalhes bibliográficos
Autor(a) principal: Padeiro, Miguel
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/89036
https://doi.org/10.1007/s10742-017-0173-0
Resumo: The aim of this paper is to compare several methods for measuring geographical accessibility to community pharmacies in the Lisbon Metropolitan Area (LMA). Twelve measures of pedestrian distance between spatial units and the closest community pharmacy were computed based on the combination of 4 parameters: type of distance, location, centroid definition, and level of spatial unit. For this, the Google Maps Application Programming Interface was used for calculating network pedestrian distances, using a list of 801 community pharmacies and population data from the Census 2011. Correlations between every method were performed, and the variations of the estimated number of inhabitants served at an 800-m distance were analyzed. Local errors were assessed comparing every combination to the most accurate one. The results show that the number of people served ranges from 70 to 89% of the total population, depending upon the method used. The use of pedestrian network distances decreases by more than 10 points the population coverage, compared to crow-fly distances. The finest parameters of population assignment are more inclusive than coarser ones. This research demonstrates the influence of several measurement methods on coverage estimations. Empirical evidence indicates that both measurement and policies should be called into question in order to improve actual coverage.
id RCAP_a21cbaf8beffe76a39765f3338d063cc
oai_identifier_str oai:estudogeral.uc.pt:10316/89036
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Comparing alternative methods to measuring pedestrian access to community pharmaciesCommunity pharmacyGeographical information systemPharmacy servicesAccessibilityNetwork distanceHealth geographyThe aim of this paper is to compare several methods for measuring geographical accessibility to community pharmacies in the Lisbon Metropolitan Area (LMA). Twelve measures of pedestrian distance between spatial units and the closest community pharmacy were computed based on the combination of 4 parameters: type of distance, location, centroid definition, and level of spatial unit. For this, the Google Maps Application Programming Interface was used for calculating network pedestrian distances, using a list of 801 community pharmacies and population data from the Census 2011. Correlations between every method were performed, and the variations of the estimated number of inhabitants served at an 800-m distance were analyzed. Local errors were assessed comparing every combination to the most accurate one. The results show that the number of people served ranges from 70 to 89% of the total population, depending upon the method used. The use of pedestrian network distances decreases by more than 10 points the population coverage, compared to crow-fly distances. The finest parameters of population assignment are more inclusive than coarser ones. This research demonstrates the influence of several measurement methods on coverage estimations. Empirical evidence indicates that both measurement and policies should be called into question in order to improve actual coverage.Springer2017-12-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/89036http://hdl.handle.net/10316/89036https://doi.org/10.1007/s10742-017-0173-0eng1387-37411572-9400https://link.springer.com/article/10.1007%2Fs10742-017-0173-0Padeiro, Miguelinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-08-17T07:56:29Zoai:estudogeral.uc.pt:10316/89036Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:09:28.876560Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Comparing alternative methods to measuring pedestrian access to community pharmacies
title Comparing alternative methods to measuring pedestrian access to community pharmacies
spellingShingle Comparing alternative methods to measuring pedestrian access to community pharmacies
Padeiro, Miguel
Community pharmacy
Geographical information system
Pharmacy services
Accessibility
Network distance
Health geography
title_short Comparing alternative methods to measuring pedestrian access to community pharmacies
title_full Comparing alternative methods to measuring pedestrian access to community pharmacies
title_fullStr Comparing alternative methods to measuring pedestrian access to community pharmacies
title_full_unstemmed Comparing alternative methods to measuring pedestrian access to community pharmacies
title_sort Comparing alternative methods to measuring pedestrian access to community pharmacies
author Padeiro, Miguel
author_facet Padeiro, Miguel
author_role author
dc.contributor.author.fl_str_mv Padeiro, Miguel
dc.subject.por.fl_str_mv Community pharmacy
Geographical information system
Pharmacy services
Accessibility
Network distance
Health geography
topic Community pharmacy
Geographical information system
Pharmacy services
Accessibility
Network distance
Health geography
description The aim of this paper is to compare several methods for measuring geographical accessibility to community pharmacies in the Lisbon Metropolitan Area (LMA). Twelve measures of pedestrian distance between spatial units and the closest community pharmacy were computed based on the combination of 4 parameters: type of distance, location, centroid definition, and level of spatial unit. For this, the Google Maps Application Programming Interface was used for calculating network pedestrian distances, using a list of 801 community pharmacies and population data from the Census 2011. Correlations between every method were performed, and the variations of the estimated number of inhabitants served at an 800-m distance were analyzed. Local errors were assessed comparing every combination to the most accurate one. The results show that the number of people served ranges from 70 to 89% of the total population, depending upon the method used. The use of pedestrian network distances decreases by more than 10 points the population coverage, compared to crow-fly distances. The finest parameters of population assignment are more inclusive than coarser ones. This research demonstrates the influence of several measurement methods on coverage estimations. Empirical evidence indicates that both measurement and policies should be called into question in order to improve actual coverage.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-12
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/89036
http://hdl.handle.net/10316/89036
https://doi.org/10.1007/s10742-017-0173-0
url http://hdl.handle.net/10316/89036
https://doi.org/10.1007/s10742-017-0173-0
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1387-3741
1572-9400
https://link.springer.com/article/10.1007%2Fs10742-017-0173-0
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133988979212288