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.