Imprialou & Quddus Crash data for road safety research_current state and future directions.pdf (214.53 kB)
Crash data quality for road safety research: current state and future directions
journal contribution
posted on 2017-03-17, 14:04 authored by Marianna Imprialou, Mohammed QuddusCrash 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.
History
School
- Architecture, Building and Civil Engineering
Published in
Accident Analysis and PreventionVolume
130Issue
September 2019Pages
84 - 90Citation
IMPRIALOU, M-I. and QUDDUS, M.A., 2017. Crash data quality for road safety research: current state and future directions. Accident Analysis and Prevention, 130 (September 2019), pp.84-90.Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2017-02-22Publication date
2017-03-03Notes
This paper was published in the journal Accident Analysis and Prevention and the definitive published version is available at http://dx.doi.org/10.1016/j.aap.2017.02.022.ISSN
0001-4575Publisher version
Language
- en