Assessing the Impact of Weather on Traffic Intensity

Cools, Mario; Moons, Elke; Wets, Geert · 2009 · OpenAlex-citations

DOI: 10.1175/2009wcas1014.1

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Summary

This study investigates how weather conditions influence daily traffic intensity in Belgium, specifically examining whether these effects are uniform across different road types or dependent on local road usage patterns. The research is motivated by the need for transportation policymakers to determine the appropriateness of country-wide versus local traffic management strategies. Understanding these dynamics is critical for addressing weather-related issues such as increased fuel consumption, economic losses from delays, and reduced network capacity. Additionally, the study aims to validate findings from international literature within a Belgian context, noting that traffic intensity serves as a primary determinant for road safety exposure. The methodology utilizes daily traffic intensity data from 2003 and 2004, collected via inductive loop detectors at three distinct highway locations: a mixed-use highway near Hasselt, a commuter-heavy entrance to Brussels, and a leisure-oriented access highway to the Belgian seashore. Weather data, including precipitation, temperature, wind speed, cloudiness, and visibility, were sourced from nearby meteorological stations. The authors employed classical linear regression models with Newey-West heteroskedasticity and autocorrelation consistent covariance matrices to account for temporal dependencies. The analysis controlled for temporal effects, such as day-of-week variations and holidays, and used interaction terms to assess how road usage type moderates weather impacts. The results demonstrate that weather effects on traffic intensity are heterogeneous across different locations but homogeneous between upstream and downstream traffic at the same location. Specifically, snowfall, rainfall, and wind speed significantly diminish traffic intensity, while maximum temperature and hail increase it. The magnitude of these effects varies by road usage; leisure-related traffic on the seashore highway showed considerably larger correlations with weather conditions compared to commuter traffic. This suggests that discretionary travel is more sensitive to weather changes than mandatory work-related travel. For instance, snowfall reduced traffic intensity by an average of 3.822%, with variations depending on the specific location’s primary user base. The significance of these findings lies in their implication for traffic management and safety policy. The heterogeneity of weather effects underscores the necessity for location-specific traffic management strategies rather than uniform national approaches. Policymakers must account for the flexibility of drivers’ travel motives when designing systems to mitigate weather-related operational side-effects. Furthermore, the study highlights the importance of incorporating weather conditions into traffic safety research, both directly and indirectly through their impact on traffic intensity. Future research is recommended to expand the scope to local roads and integrate travel behavior modeling to better isolate weather effects from other influencing factors.

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• traffic density