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Article: Validating crash locations for quantitative spatial analysis: A GIS-based approach

TitleValidating crash locations for quantitative spatial analysis: A GIS-based approach
Authors
Loo, BPY
KeywordsDatabase
Geographic information system (GIS)
Police-collected crash information
Spatial analysis
Spatial data validation
Spatial variables
Issue Date2006
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#description
Citation
Accident Analysis And Prevention, 2006, v. 38 n. 5, p. 879-886 How to Cite?
DOI: http://dx.doi.org/10.1016/j.aap.2006.02.012
AbstractIn this paper, the spatial variables of the crash database in Hong Kong from 1993 to 2004 are validated. The proposed spatial data validation system makes use of three databases (the crash, road network and district board databases) and relies on GIS to carry out most of the validation steps so that the human resource required for manually checking the accuracy of the spatial data can be enormously reduced. With the GIS-based spatial data validation system, it was found that about 65-80% of the police crash records from 1993 to 2004 had correct road names and district board information. In 2004, the police crash database contained about 12.7% mistakes for road names and 9.7% mistakes for district boards. The situation was broadly comparable to the United Kingdom. However, the results also suggest that safety researchers should carefully validate spatial data in the crash database before scientific analysis. © 2006 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/86322
ISSN
0001-4575
2023 Impact Factor: 5.7
2023 SCImago Journal Rankings: 1.897
ISI Accession Number ID
WOS:000239528200007
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLoo, BPYen_HK
dc.date.accessioned2010-09-06T09:15:27Z-
dc.date.available2010-09-06T09:15:27Z-
dc.date.issued2006en_HK
dc.identifier.citationAccident Analysis And Prevention, 2006, v. 38 n. 5, p. 879-886en_HK
dc.identifier.issn0001-4575en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86322-
dc.description.abstractIn this paper, the spatial variables of the crash database in Hong Kong from 1993 to 2004 are validated. The proposed spatial data validation system makes use of three databases (the crash, road network and district board databases) and relies on GIS to carry out most of the validation steps so that the human resource required for manually checking the accuracy of the spatial data can be enormously reduced. With the GIS-based spatial data validation system, it was found that about 65-80% of the police crash records from 1993 to 2004 had correct road names and district board information. In 2004, the police crash database contained about 12.7% mistakes for road names and 9.7% mistakes for district boards. The situation was broadly comparable to the United Kingdom. However, the results also suggest that safety researchers should carefully validate spatial data in the crash database before scientific analysis. © 2006 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#descriptionen_HK
dc.relation.ispartofAccident Analysis and Preventionen_HK
dc.subjectDatabase-
dc.subjectGeographic information system (GIS)-
dc.subjectPolice-collected crash information-
dc.subjectSpatial analysis-
dc.subjectSpatial data validation-
dc.subjectSpatial variables-
dc.subject.meshAccidents, Traffic - prevention & control - statistics & numerical dataen_HK
dc.subject.meshGeographic Information Systemsen_HK
dc.subject.meshHong Kongen_HK
dc.subject.meshHumansen_HK
dc.titleValidating crash locations for quantitative spatial analysis: A GIS-based approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0001-4575&volume=38&spage=879&epage=886&date=2006&atitle=Validating+Crash+Locations+For+Quantitative+Spatial+Analysis:+A+GIS-based+Approachen_HK
dc.identifier.emailLoo, BPY:bpyloo@hku.hken_HK
dc.identifier.authorityLoo, BPY=rp00608en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.aap.2006.02.012en_HK
dc.identifier.pmid16574045-
dc.identifier.scopuseid_2-s2.0-33745746960en_HK
dc.identifier.hkuros116923en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33745746960&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume38en_HK
dc.identifier.issue5en_HK
dc.identifier.spage879en_HK
dc.identifier.epage886en_HK
dc.identifier.isiWOS:000239528200007-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLoo, BPY=7005145560en_HK
dc.identifier.issnl0001-4575-

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