Comparing alternative methods to measuring pedestrian access to community pharmacies

Bibliographic Details
Main Author: Padeiro, Miguel
Publication Date: 2017
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/89036
https://doi.org/10.1007/s10742-017-0173-0
Summary: 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.
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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/articlehttps://hdl.handle.net/10316/89036https://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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2022-08-17T07:56:29Zoai:estudogeral.uc.pt:10316/89036Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:36:53.981288Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10316/89036
https://hdl.handle.net/10316/89036
https://doi.org/10.1007/s10742-017-0173-0
url https://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
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dc.publisher.none.fl_str_mv Springer
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