SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Van Raemdonck K, Macharis C. J. Transp. Saf. Secur. 2014; 6(2): 130-151.

Copyright

(Copyright © 2014, Southeastern Transportation Center, and Beijing Jiaotong University, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19439962.2013.826314

PMID

unavailable

Abstract

In this article, a traffic accident analysis tool, called the Road Accident Analyzer, is being developed to visualize traffic safety in any specific region. First, a literature review is conducted, which results in a well-structured overview of the existing methodologies from over the world to identify high-risk road locations. In most studies concerning the identification of high-risk locations two important phases can be distinguished. In the first phase a safety indicator has to be calculated. Subsequently it is investigated whether the value of this safety indicator significantly exceeds a predetermined threshold value in the second phase. After the theoretical discussion of these two phases, a new geographic information system (GIS)-based tool is being developed, with which high-risk road locations can be identified and geographically visualized. In a case study of the E313 highway in Flanders three accident indicators are calculated: the accident density, the accident risk, and the expected number of accidents on the basis of an accident model (empirical Bayes approach). Thereafter, priority sites will be determined for each approach. Afterwards the advantages and disadvantages of each methodology are critically discussed.


Language: en

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print