The effect of Operation 24 Hours on reducing collision in the Cityof Edmonton

Halim, Siana and Jiang, Heming (2013) The effect of Operation 24 Hours on reducing collision in the Cityof Edmonton. Accident Analysis and Prevention, 2013. pp. 106-114.

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    tIn the City of Edmonton, in order to reduce the prevalence of collisions, the Operation 24 Hours program(OPS24) was developed by using existing police and transportation services resources. The program usestraditional manned police speed enforcement method, which are supplemented by traffic safety messagesdisplayed on permanent and mobile dynamic messaging signs (DMS). In this paper, collision data analysiswas performed by looking at the daily number of collisions from 2008 to 2011 that covers 28 Operation24 Hours (OPS24) events. The objective of the collision data analysis is to analyze if there is a reductionin collision frequencies after OPS24 was held and examined how long the collision reduction effect last.Weather factors such as temperature, thickness of snow, and wind gust have been considered by many asa great influence on collision occurrences, especially in a city with long and cold winter such as Edmonton.Therefore, collision modeling was performed by considering these external weather factors. To analyzethe linear and periodic trend of different collision types (injury, fatal, and property damage only (PDO))and examine the influence of weather factors on collisions, negative binomial time series model thataccounts for seasonality and weather factors was used to model daily collision data. The modeling alsoconsidered collision proportion to account for missing traffic volume data; the Gaussian time series modelthat accounts for seasonality and weather factors was used to model collision proportion. To estimate thecollision trend and test for changes in collision levels before/after OPS24, interrupted time series modelwith segmented regression was used. While for estimating how long the effect of the OPS24 last, changepoint method was applied

    Item Type: Article
    Subjects: H Social Sciences > HA Statistics
    Divisions: Faculty of Industrial Technology > Industrial Engineering Department
    Depositing User: Siana Halim
    Date Deposited: 30 May 2013 09:52
    Last Modified: 26 Mar 2018 15:13
    URI: http://repository.petra.ac.id/id/eprint/15978

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