Integration of Spatial Models for Web-based Risk Assessment of Road Accident

Sippakarn KASSAWAT, Sunya SARAPIROME, Vatanavongs RATANAVARAHA

Abstract


This study is a combination of the web-based system of the Poisson regression model and the Decision expert (DEX) approach to assess the risk of traffic accidents on each segment of Highway 304 in the province of Nakhon Ratchasima, Thailand. The variables of the Poisson model include average daily traffic (ADT), road geometric and environmental parameters. Geometric parameters were used in a factor analysis to the high accident segment portion of the road. The DEX was used as a tool to determine environmental parameters derived from environmental conditions potentially promoting road accidents. The system developed allows users’ interaction to vary environmental conditions subject to change with different times of a day and weather. The system can provide the analytical results to identify potential positions at risk of accidents on the highway based on individual users’ situations. The system developed can be used as a guide for planning and managing to reduce the number of accidents on the highway. Additionally, the system can provide warning information of road segments for highway users.

doi:10.14456/WJST.2015.62

Keywords


Spatial analysis, road accident risk assessment, spatial web-based application, Poisson regression model, Decision expert

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