Geographic Information System (GIS) capabilities in traffic accident information management: a qualitative approach

Journal Title: Electronic Physician - Year 2017, Vol 9, Issue 6

Abstract

BACKGROUND: Traffic accidents are one of the more important national and international issues, and their consequences are important for the political, economical, and social level in a country. Management of traffic accident information requires information systems with analytical and accessibility capabilities to spatial and descriptive data. OBJECTIVE: The aim of this study was to determine the capabilities of a Geographic Information System (GIS) in management of traffic accident information. METHODS: This qualitative cross-sectional study was performed in 2016. In the first step, GIS capabilities were identified via literature retrieved from the Internet and based on the included criteria. Review of the literature was performed until data saturation was reached; a form was used to extract the capabilities. In the second step, study population were hospital managers, police, emergency, statisticians, and IT experts in trauma, emergency and police centers. Sampling was purposive. Data was collected using a questionnaire based on the first step data; validity and reliability were determined by content validity and Cronbach's alpha of 75%. Data was analyzed using the decision Delphi technique. RESULTS: GIS capabilities were identified in ten categories and 64 sub-categories. Import and process of spatial and descriptive data and so, analysis of this data were the most important capabilities of GIS in traffic accident information management. CONCLUSION: Storing and retrieving of descriptive and spatial data, providing statistical analysis in table, chart and zoning format, management of bad structure issues, determining the cost effectiveness of the decisions and prioritizing their implementation were the most important capabilities of GIS which can be efficient in the management of traffic accident information

Authors and Affiliations

Maryam Ahmadi, Ali Valinejadi, Afshin Goodarzi, Ameneh Safari, Reza Morteza Hemmat, Hesamedin Askari Majdabadi

Keywords

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  • EP ID EP321722
  • DOI 10.19082/4533
  • Views 95
  • Downloads 0

How To Cite

Maryam Ahmadi, Ali Valinejadi, Afshin Goodarzi, Ameneh Safari, Reza Morteza Hemmat, Hesamedin Askari Majdabadi (2017). Geographic Information System (GIS) capabilities in traffic accident information management: a qualitative approach. Electronic Physician, 9(6), 4533-4540. https://europub.co.uk/articles/-A-321722