Problems with assessing safety of vulnerable road users based on traffic accident data

Piotr Olszewski , Beata Agnieszka Osińska , Piotr Szagała , P. Skoczyński , A. Zielińska


The problem of poor quality of traffic accident data assembled in national databases has been addressed in European project InDeV. Vulnerable road users (pedestrians, cyclists, motorcyclists and moped riders) are especially affected by underreporting of accidents and misreporting of injury severity. Analyses of data from the European CARE database shows differences between countries in accident number trends as well as in fatality and injury rates which are difficult to explain. A survey of InDeV project partners from 7 EU countries helped to identify differences in their countries in accident and injury definitions as well as in reporting and data checking procedures. Measures to improve the quality of accident data are proposed such as including pedestrian falls in accident statistics, precisely defining minimum injury and combining police accident records with hospital data.
Author Piotr Olszewski (FCE / IRB)
Piotr Olszewski,,
- The Institute of Roads and Bridges
, Beata Agnieszka Osińska (FCE)
Beata Agnieszka Osińska,,
- Faculty of Civil Engineering
, Piotr Szagała (FCE / IRB)
Piotr Szagała,,
- The Institute of Roads and Bridges
, P. Skoczyński - [Instytut Transportu Samochodowego, Warsaw]
P. Skoczyński,,
, A. Zielińska - [Instytut Transportu Samochodowego, Warsaw]
A. Zielińska,,
Journal seriesArchives of Civil Engineering, [Archiwum Inżynierii Lądowej], ISSN 1230-2945
Issue year2016
Publication size in sheets0.95
Keywords in Englishroad safety, vulnerable road users, accident data quality, CARE database, accident statistics
ASJC Classification2205 Civil and Structural Engineering
Languageen angielski
Score (nominal)15
Score sourcejournalList
ScoreMinisterial score = 15.0, 02-09-2020, ArticleFromJournal
Ministerial score (2013-2016) = 15.0, 02-09-2020, ArticleFromJournal
Publication indicators WoS Citations = 1; Scopus Citations = 4; GS Citations = 9.0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.604
Citation count*9 (2020-06-02)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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