Introduction
Agerholm, Niels ; Šucha, Matúš and Laureshyn, Aliaksei LU
(2025)
p.1-4
- Abstract
Traffic accidents pose a significant global challenge, causing nearly 1.2 million fatalities annually (WHO 2023). This alarming statistic places traffic accidents among the leading causes of death worldwide. In most countries, the police are responsible for compiling official accident statistics. They collect data at the scene of the accident, including details about the vehicles involved, the circumstances leading to the accident, and the resulting casualties. However, these data often do not encompass all information about traffic safety. For instance, minor accidents or those not reported to the police are usually not included in these statistics. This leads to the existence of 'dark figures' in traffic safety data, referring to... (More)
Traffic accidents pose a significant global challenge, causing nearly 1.2 million fatalities annually (WHO 2023). This alarming statistic places traffic accidents among the leading causes of death worldwide. In most countries, the police are responsible for compiling official accident statistics. They collect data at the scene of the accident, including details about the vehicles involved, the circumstances leading to the accident, and the resulting casualties. However, these data often do not encompass all information about traffic safety. For instance, minor accidents or those not reported to the police are usually not included in these statistics. This leads to the existence of 'dark figures' in traffic safety data, referring to unreported or underreported incidents.
(Less)
- author
- Agerholm, Niels
; Šucha, Matúš
and Laureshyn, Aliaksei
LU
- organization
- publishing date
- 2025
- 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
- 4 pages
- publisher
- Institution of Engineering and Technology
- external identifiers
-
- scopus:105000473378
- ISBN
- 9781839530463
- 9781839530456
- DOI
- 10.1049/PBTR028E_ch1
- language
- English
- LU publication?
- yes
- id
- 17c1bbe1-7a6a-40fa-8498-970a13a426b6
- date added to LUP
- 2025-09-12 09:40:53
- date last changed
- 2025-09-26 14:30:11
@inbook{17c1bbe1-7a6a-40fa-8498-970a13a426b6,
abstract = {{<p>Traffic accidents pose a significant global challenge, causing nearly 1.2 million fatalities annually (WHO 2023). This alarming statistic places traffic accidents among the leading causes of death worldwide. In most countries, the police are responsible for compiling official accident statistics. They collect data at the scene of the accident, including details about the vehicles involved, the circumstances leading to the accident, and the resulting casualties. However, these data often do not encompass all information about traffic safety. For instance, minor accidents or those not reported to the police are usually not included in these statistics. This leads to the existence of 'dark figures' in traffic safety data, referring to unreported or underreported incidents.</p>}},
author = {{Agerholm, Niels and Šucha, Matúš and Laureshyn, Aliaksei}},
booktitle = {{Traffic Safety Data : Sources, analysis and applications}},
isbn = {{9781839530463}},
language = {{eng}},
pages = {{1--4}},
publisher = {{Institution of Engineering and Technology}},
title = {{Introduction}},
url = {{http://dx.doi.org/10.1049/PBTR028E_ch1}},
doi = {{10.1049/PBTR028E_ch1}},
year = {{2025}},
}