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Validation of travel times to hospital estimated by GIS

BACKGROUND: An increasing number of studies use GIS estimates of car travel times to health services, without presenting any evidence that the estimates are representative of real travel times. This investigation compared GIS estimates of travel times with the actual times reported by a sample of 47...

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Autores principales: Haynes, Robin, Jones, Andrew P, Sauerzapf, Violet, Zhao, Hongxin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1586189/
https://www.ncbi.nlm.nih.gov/pubmed/16984650
http://dx.doi.org/10.1186/1476-072X-5-40
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author Haynes, Robin
Jones, Andrew P
Sauerzapf, Violet
Zhao, Hongxin
author_facet Haynes, Robin
Jones, Andrew P
Sauerzapf, Violet
Zhao, Hongxin
author_sort Haynes, Robin
collection PubMed
description BACKGROUND: An increasing number of studies use GIS estimates of car travel times to health services, without presenting any evidence that the estimates are representative of real travel times. This investigation compared GIS estimates of travel times with the actual times reported by a sample of 475 cancer patients who had travelled by car to attend clinics at eight hospitals in the North of England. METHODS: Car travel times were estimated by GIS using the shortest road route between home address and hospital and average speed assumptions. These estimates were compared with reported journey times and straight line distances using graphical, correlation and regression techniques. RESULTS: There was a moderately strong association between reported times and estimated travel times (r = 0.856). Reported travel times were similarly related to straight line distances. Altogether, 50% of travel time estimates were within five minutes of the time reported by respondents, 77% were within ten minutes and 90% were within fifteen minutes. The distribution of over- and under-estimates was symmetrical, but estimated times tended to be longer than reported times with increasing distance from hospital. Almost all respondents rounded their travel time to the nearest five or ten minutes. The reason for many cases of reported journey times exceeding the estimated times was confirmed by respondents' comments as traffic congestion. CONCLUSION: GIS estimates of car travel times were moderately close approximations to reported times. GIS travel time estimates may be superior to reported travel times for modelling purposes because reported times contain errors and can reflect unusual circumstances. Comparison with reported times did not suggest that estimated times were a more sensitive measure than straight line distance.
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spelling pubmed-15861892006-10-03 Validation of travel times to hospital estimated by GIS Haynes, Robin Jones, Andrew P Sauerzapf, Violet Zhao, Hongxin Int J Health Geogr Research BACKGROUND: An increasing number of studies use GIS estimates of car travel times to health services, without presenting any evidence that the estimates are representative of real travel times. This investigation compared GIS estimates of travel times with the actual times reported by a sample of 475 cancer patients who had travelled by car to attend clinics at eight hospitals in the North of England. METHODS: Car travel times were estimated by GIS using the shortest road route between home address and hospital and average speed assumptions. These estimates were compared with reported journey times and straight line distances using graphical, correlation and regression techniques. RESULTS: There was a moderately strong association between reported times and estimated travel times (r = 0.856). Reported travel times were similarly related to straight line distances. Altogether, 50% of travel time estimates were within five minutes of the time reported by respondents, 77% were within ten minutes and 90% were within fifteen minutes. The distribution of over- and under-estimates was symmetrical, but estimated times tended to be longer than reported times with increasing distance from hospital. Almost all respondents rounded their travel time to the nearest five or ten minutes. The reason for many cases of reported journey times exceeding the estimated times was confirmed by respondents' comments as traffic congestion. CONCLUSION: GIS estimates of car travel times were moderately close approximations to reported times. GIS travel time estimates may be superior to reported travel times for modelling purposes because reported times contain errors and can reflect unusual circumstances. Comparison with reported times did not suggest that estimated times were a more sensitive measure than straight line distance. BioMed Central 2006-09-19 /pmc/articles/PMC1586189/ /pubmed/16984650 http://dx.doi.org/10.1186/1476-072X-5-40 Text en Copyright © 2006 Haynes et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Haynes, Robin
Jones, Andrew P
Sauerzapf, Violet
Zhao, Hongxin
Validation of travel times to hospital estimated by GIS
title Validation of travel times to hospital estimated by GIS
title_full Validation of travel times to hospital estimated by GIS
title_fullStr Validation of travel times to hospital estimated by GIS
title_full_unstemmed Validation of travel times to hospital estimated by GIS
title_short Validation of travel times to hospital estimated by GIS
title_sort validation of travel times to hospital estimated by gis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1586189/
https://www.ncbi.nlm.nih.gov/pubmed/16984650
http://dx.doi.org/10.1186/1476-072X-5-40
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