Conclusion
Šucha, Matúš ; Agerholm, Niels and Laureshyn, Aliaksei LU
(2025)
p.329-334
- Abstract
This book comprehensively explores various methodologies and sources used to understand and improve road safety. It delves into the advantages and disadvantages of primary data sources such as police accident records, statistical methods for data analysis, in-depth investigations, healthcare data, self-reporting of behavior, data from automated vehicles, naturalistic driving/cycling/walking studies, site-based traffic conflict observations, and insurance data. The book emphasizes the importance of each data type in providing insights into accident causes, trends, and patterns, thereby guiding evidence-based interventions to enhance road safety. Furthermore, it discusses surrogate safety measures such as traffic conflicts and safety... (More)
This book comprehensively explores various methodologies and sources used to understand and improve road safety. It delves into the advantages and disadvantages of primary data sources such as police accident records, statistical methods for data analysis, in-depth investigations, healthcare data, self-reporting of behavior, data from automated vehicles, naturalistic driving/cycling/walking studies, site-based traffic conflict observations, and insurance data. The book emphasizes the importance of each data type in providing insights into accident causes, trends, and patterns, thereby guiding evidence-based interventions to enhance road safety. Furthermore, it discusses surrogate safety measures such as traffic conflicts and safety performance indicators (SPIs), highlighting their role in predicting and preventing accidents by proactively identifying risk factors and assessing safety infrastructure. Overall, the book underscores the evolving methodologies and ethical considerations in utilizing diverse data sources to mitigate road accidents and improve traffic safety globally.
(Less)
- author
- Šucha, Matúš
; Agerholm, Niels
and Laureshyn, Aliaksei
LU
- organization
- publishing date
- 2025-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Traffic Safety Data : Sources, analysis and applications - Sources, analysis and applications
- pages
- 6 pages
- publisher
- Institution of Engineering and Technology
- external identifiers
-
- scopus:105000534492
- ISBN
- 9781839530456
- 9781839530463
- DOI
- 10.1049/PBTR028E_ch18
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © The Institution of Engineering and Technology and its licensors 2025. All rights reserved.
- id
- b1a43c48-71cf-4bb0-8698-b2d6eed915bf
- date added to LUP
- 2026-01-09 10:15:01
- date last changed
- 2026-01-10 02:55:01
@inbook{b1a43c48-71cf-4bb0-8698-b2d6eed915bf,
abstract = {{<p>This book comprehensively explores various methodologies and sources used to understand and improve road safety. It delves into the advantages and disadvantages of primary data sources such as police accident records, statistical methods for data analysis, in-depth investigations, healthcare data, self-reporting of behavior, data from automated vehicles, naturalistic driving/cycling/walking studies, site-based traffic conflict observations, and insurance data. The book emphasizes the importance of each data type in providing insights into accident causes, trends, and patterns, thereby guiding evidence-based interventions to enhance road safety. Furthermore, it discusses surrogate safety measures such as traffic conflicts and safety performance indicators (SPIs), highlighting their role in predicting and preventing accidents by proactively identifying risk factors and assessing safety infrastructure. Overall, the book underscores the evolving methodologies and ethical considerations in utilizing diverse data sources to mitigate road accidents and improve traffic safety globally.</p>}},
author = {{Šucha, Matúš and Agerholm, Niels and Laureshyn, Aliaksei}},
booktitle = {{Traffic Safety Data : Sources, analysis and applications}},
isbn = {{9781839530456}},
language = {{eng}},
month = {{01}},
pages = {{329--334}},
publisher = {{Institution of Engineering and Technology}},
title = {{Conclusion}},
url = {{http://dx.doi.org/10.1049/PBTR028E_ch18}},
doi = {{10.1049/PBTR028E_ch18}},
year = {{2025}},
}