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A Systemic View on Swedish Traffic Accident Data Acquisition System
Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
2007 (English)In: Proceedings of the 14th International Conference on Road Safety on Four Continents (RS4C), 14-16 November, Bangkok, Thailand, Sweden: VTI , 2007, 1-12 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents work in progress to study information sharing among road safety organizations. The focus is to study accident data acquisition system. In 2002, Swedish Road Transport authority (SRT) has accepted STRADA as accident reporting system to be used by the police all over Sweden. Such system is vital for coordinating, maintaining and auditing road safety in the country. Normally road accidents are reported by the police or by Emergency unit at the hospital. However more than 50% of the hospitals in Sweden didn’t use the system which decrease the utilization of the system and reduce the quality of the information that demanded. By using system thinking approach in this study we try to see why such situation is occurred and how changes can be introduced and handle to overcome such problem. Interviews conducted with focus group and different users of the system. To investigate the issues related to the acceptance of the system we use Technology Acceptance Model (TAM). We recommend getting the user involved in the life cycle of the STRADA and also the developers could use enabling system to overcome problems in related to system usability and complexity. Also we suggest the use of iterative development to govern the life cycle.

Place, publisher, year, edition, pages
Sweden: VTI , 2007. 1-12 p.
Keyword [en]
STRADA Information sharing Road accidents recording system
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-13188OAI: oai:DiVA.org:liu-13188DiVA: diva2:18003
Available from: 2008-04-28 Created: 2008-04-28 Last updated: 2009-04-23Bibliographically approved
In thesis
1. Analytical tools and information-sharing methods supporting road safety organizations
Open this publication in new window or tab >>Analytical tools and information-sharing methods supporting road safety organizations
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

A prerequisite for improving road safety are reliable and consistent sources of information about traffic and accidents, which will help assess the prevailing situation and give a good indication of their severity. In many countries there is under-reporting of road accidents, deaths and injuries, no collection of data at all, or low quality of information. Potential knowledge is hidden, due to the large accumulation of traffic and accident data. This limits the investigative tasks of road safety experts and thus decreases the utilization of databases. All these factors can have serious effects on the analysis of the road safety situation, as well as on the results of the analyses.

This dissertation presents a three-tiered conceptual model to support the sharing of road safety–related information and a set of applications and analysis tools. The overall aim of the research is to build and maintain an information-sharing platform, and to construct mechanisms that can support road safety professionals and researchers in their efforts to prevent road accidents. GLOBESAFE is a platform for information sharing among road safety organizations in different countries developed during this research.

Several approaches were used, First, requirement elicitation methods were used to identify the exact requirements of the platform. This helped in developing a conceptual model, a common vocabulary, a set of applications, and various access modes to the system. The implementation of the requirements was based on iterative prototyping. Usability methods were introduced to evaluate the users’ interaction satisfaction with the system and the various tools. Second, a system-thinking approach and a technology acceptance model were used in the study of the Swedish traffic data acquisition system. Finally, visual data mining methods were introduced as a novel approach to discovering hidden knowledge and relationships in road traffic and accident databases. The results from these studies have been reported in several scientific articles.

Place, publisher, year, edition, pages
Linköping: LiU-Tryck, 2008. 118 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1187
Keyword
Visual data mining, STRADA, GLOBESAFE, Conceptual model, System thinking, Internet GIS
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-11596 (URN)978-91-7393-887-7 (ISBN)
Public defence
2008-06-12, Alan Turing, Hus E, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2008-04-28 Created: 2008-04-28 Last updated: 2009-04-21Bibliographically approved

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Abugessaisa, ImadSivertun, ÅkeLe Duc, Michael

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