2134/23816
Rachel Talbot
Rachel
Talbot
L. Hagstrom
L.
Hagstrom
Robert Thomson
Robert
Thomson
T. Hermitte
T.
Hermitte
Wendy Weijermars
Wendy
Weijermars
Niels Bos
Niels
Bos
Pete Thomas
Pete
Thomas
Emmanuelle Dupont
Emmanuelle
Dupont
Heike Martensen
Heike
Martensen
Robert Bauer
Robert
Bauer
M. Hours
M.
Hours
E. Hoye
E.
Hoye
M. Jansch
M.
Jansch
A. Murkovic
A.
Murkovic
W. Niewohner
W.
Niewohner
Eleonora Papadimitriou
Eleonora
Papadimitriou
C. Perez
C.
Perez
V. Phan
V.
Phan
D. Shingo Usami
D. Shingo
Usami
J. Vazquez-de-Prada
J.
Vazquez-de-Prada
Description of data-sources used in SafetyCube. Deliverable 3.1 of the H2020 project SafetyCube
Loughborough University
2017
untagged
Design Practice and Management not elsewhere classified
2017-01-20 15:01:43
Report
https://repository.lboro.ac.uk/articles/report/Description_of_data-sources_used_in_SafetyCube_Deliverable_3_1_of_the_H2020_project_SafetyCube/9353750
Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS) that will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures and cost-effective approaches to reduce casualties of all road user types and all severities.
This deliverable describes the available data in the form of an inventory of databases that can be used for analyses within the project. Two general types of data are available: one describing the involvement of different components for the road safety (vehicles, infrastructure, and the road user) and one describing the injury outcomes of a crash. These two database categories are available to the partners of SafetyCube and gathered in two excel tables. One table contains traffic databases (accident and naturalistic driving studies) and the second table contains injury databases. The tables contain information on 58 and 35 variables, respectively. The key information describing the databases that was needed for the inventory were items such as:
Type of data collected (crashes, injuries, etc.)
Documentation of the variables
Sampling criteria for the data collected
SafetyCube partners with access to the data
Extent of data access (raw data vs. summary tables) The tables contain 36 traffic accident databases, five naturalistic driving studies or field-tests and 22 injury databases where of four were coded in both sheets.