4.7 Article

Pattern of road traffic crash hot zones versus probable hot zones in Tunisia: A geospatial analysis

Journal

ACCIDENT ANALYSIS AND PREVENTION
Volume 128, Issue -, Pages 185-196

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.aap.2019.04.008

Keywords

Traffic crashes; Spatial autocorrelation approach; Prediction accuracy index; Hot zones; Probable hot zones

Ask authors/readers for more resources

Focusing on how hot zones mapping can predict spatial patterns of crashes and how different mapping approaches compare can help to better inform their application in practice. This study examines the stability of the performance of two spatial autocorrelation measures on the basis of a Road Safety Risk Index (RSRI) through the comparison of the results for three regions (North-West, Center-East, and Center-West) and for three time periods (2002-2005, 2006-2009 and 2010-2013) in Tunisia. Our study differs from others in that it discusses the identification of probable hot zones and enhances the capability to examine a given highway by determining dangerous probable lengths, which aims to anticipate the traffic crashes in the future. The identified hot zones and probable hot zones exhibit different regional and temporal characteristics. There are clearly some outstanding spatial clusters of crashes covering specific locations. In both Northwest and Center-West regions, the majority of the identified hot zones and probable hot zones predominantly occur along mainly highways characterized by a dominant rural character. In the Center-East region, both hot zones and probable hot zones are mostly spread northeast and south-west more precisely in NH1 and NH2 where many urban activities are taking place. Spatial autocorrelation indices per region address the diversity within the regions and provide us with useful insights that can be translated into safety policies in Tunisia.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available