Exposure for different license categories through a phone survey: Validity and feasibility studies

Joly, Pierre; Joly, Marie-France; Desjardins, Denise; Messier, Stéphane; Maag, Urs; Ghadirian, Parviz; Laberge-Nadeau, Claire

doi:10.1016/0001-4575(93)90004-g

Cited by 6 publications

(1 citation statement)

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“…A third approach is to collect trip and travel data through diaries, questionnaires, and interviews. This is the most common method of estimating both the quantity and the quality of risk exposure (5)(6)(7). Related costs are high, however, which often limits the sample size, the number of variables, and the frequency with which data are collected.…”

Section: Research Contextmentioning

confidence: 99%

Using Origin-Destination Data and a Geographic Information System To Estimate Risk Exposure in Urban Areas

Andrey

Lister

1999

Transportation Research Record: Journal of the Transportation R

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The importance of exposure in explaining accident patterns has been recognized for at least 50 years. A method is outlined for using existing origin-destination data, in conjunction with a geographic information system, to estimate risk exposure for specific driver groups in urban areas. The method is developed for drivers age 60+ years in the region of Waterloo, Ontario, Canada. Results were validated by three criteria. First, comparisons of simulated trips with stated-preference routes showed a high degree of correspondence at the route/system level. Second, simulated travel patterns were fairly consistent with what would be expected given the spatial and temporal distribution of not-at-fault drivers. Third, the geographic information system results were combined with accident data to calculate involvement rates. These were then compared with estimates for the province of Ontario. Again, risk patterns were found to be similar at the aggregate level. In conclusion, geographic information system technology provides a novel and promising method for estimating risk exposure from origin-destination data.

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Section: Research Contextmentioning

confidence: 99%