Assessment of Exposure Proxies for Macroscopic Road Safety Prediction
Road safety is a major global health problem, and no effort should be spared in trying to limit its impacts. Modeling road safety is a complex task that needs to consider both the quantifiable impact of specific parameters and the underlying trends that cannot always be measured or observed. Macroscopic data often are not available or not in the desired form. Therefore, consideration of alternative sources of data is often required; these sources may be correlated with the modeled phenomenon. The objective of this research was to investigate the suitability of alternative proxy variables for macroscopic road safety modeling by using three suitable exposure proxies: number of vehicles in circulation, gross domestic product, and fuel consumption. Several structural time series models were developed for each proxy for two Mediterranean countries with many similar socioeconomic characteristics: Greece and Cyprus. From the findings of this analysis, a number of observations can be drawn. Proxy variables can provide reasonable results when exposure data are not available. Furthermore, even in two countries with many similarities, the selected proxy measure differs. This finding suggests that the underlying conditions that make a variable a suitable proxy for exposure are complex and need further investigation.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/main/blurbs/170273.aspx
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Authors:
- Antoniou, Constantinos
- Yannis, George
- Publication Date: 2013
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 81–94
- Monograph Title: Safety Data, Analysis, and Evaluation 2013
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2386
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Crash exposure; Crash risk forecasting; Evaluation; Highway safety
- Uncontrolled Terms: Macroscopic models; Proxy variables
- Geographic Terms: Cyprus; Greece
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I80: Accident Studies;
Filing Info
- Accession Number: 01476900
- Record Type: Publication
- ISBN: 9780309287036
- Report/Paper Numbers: 13-1788
- Files: TRIS, TRB, ATRI
- Created Date: Mar 27 2013 9:39AM