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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24464

Title: Crash data quality for road safety research: current state and future directions
Authors: Imprialou, Maria-Ioanna
Quddus, Mohammed A.
Keywords: Accident analysis
Accident data
Crash data quality
Crash police reports
Crash severity
Road safety
Issue Date: 2017
Publisher: © Elsevier
Citation: IMPRIALOU, M-I. and QUDDUS, M.A., 2017. Crash data quality for road safety research: current state and future directions. Accident Analysis and Prevention, In Press.
Abstract: Crash databases are one of the primary data sources for road safety research. Therefore, their quality is fundamental for the accuracy of crash analyses and, consequently the design of effective countermeasures. Although crash data often suffer from correctness and completeness issues, these are rarely discussed or addressed in crash analyses. Crash reports aim to answer the five “W” questions (i.e. When?, Where?, What?, Who? and Why?) of each crash by including a range of attributes. This paper reviews current literature on the state of crash data quality for each of these questions separately. The most serious data quality issues appear to be: inaccuracies in crash location and time, difficulties in data linkage (e.g. with traffic data) due to inconsistencies in databases, severity misclassification, inaccuracies and incompleteness of involved users’ demographics and inaccurate identification of crash contributory factors. It is shown that the extent and the severity of data quality issues are not equal between attributes and the level of impact in road safety analyses is not yet entirely known. This paper highlights areas that require further research and provides some suggestions for the development of intelligent crash reporting systems.
Description: This paper is in closed access until 3rd March 2018.
Version: Accepted for publication
DOI: 10.1016/j.aap.2017.02.022
URI: https://dspace.lboro.ac.uk/2134/24464
Publisher Link: http://dx.doi.org/10.1016/j.aap.2017.02.022
ISSN: 0001-4575
Appears in Collections:Closed Access (Civil and Building Engineering)

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