Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1500
Title: Frequency and Severity of Belgian Road Traffic Accidents Studied by State-Space Methods
Authors: HERMANS, Elke 
WETS, Geert 
VAN DEN BOSSCHE, Filip 
Issue Date: 2006
Publisher: Bureau of Transportation Statistics
Source: Journal of Transportation and Statistics, 9(1). p. 63-76
Abstract: In this paper we investigate the monthly frequency and severitiy of road traffic accidents in Belgium from 1974 to 1999. We describe the trend in the time series, quantify the impact of explanatory variables, and make predictions. We found that laws and concerning seat belts, speed, and alcohol have proven succesful. Furthermore, road safety increases with freezing temperatures while sun has the opposite effect, and precipitation and thunderstorms particularly influence accidents with light injuries. Economic conditions have a limited impact. State-space methodology is used throughout the analysis. We compared the results of this study with those of earlier research that applied a regression model with autogregressive moving average errors on the same data. Many similarities were found between these two approaches.
Keywords: Road safety, time series, trend, seasonal, explanatory model, state-space methodology, prediction.
Document URI: http://hdl.handle.net/1942/1500
Link to publication/dataset: http://www.bts.gov/publications/journal_of_transportation_and_statistics/volume_09_number_01/html/paper_06/index.html
ISSN: 1094-8848
Category: A1
Type: Journal Contribution
Validations: vabb 2010
Appears in Collections:Research publications

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