Using GIS to explore the relationship between road grade and accidents

Wong, Alan (2005) Using GIS to explore the relationship between road grade and accidents. [USQ Project] (Unpublished)


Download (4Mb)


This project aims to determine the relationship between road grades and road accident
using GIS. Over the years, there had been numerous researches focus on improving
the safety of road intersection, however there is a lack of research on the straight
section of the road, especially on the grade of the road. Therefore this project will
focus on the safeness of steep road grade on straight roads.
The objective of this project was to determine if there is a relationship between road
accidents and road grades using GIS.
This project is conducted under a GIS environment where sources data are spatially
referenced in the projection of GDA94. Data such as study area boundary, height of a
location and the number of accidents are obtained in this GIS environment. These
information are then used to perform correlation coefficient to determine the
relationship between road grade and road accidents.
The result from the correlation indicates that a relationship does exist between road
grade and road accident. In conclusion this project showed that road with steeper
grade do caused greater number of road crashes when compared to flat or levelled

Statistics for USQ ePrint 2234
Statistics for this ePrint Item
Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 11 Oct 2007 01:00
Last Modified: 02 Jul 2013 22:43
Uncontrolled Keywords: geographic information systems; GIS; road accidents; traffic; black spot
Fields of Research (FoR): 09 Engineering > 0905 Civil Engineering > 090507 Transport Engineering
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems

Actions (login required)

View Item Archive Repository Staff Only