Summary

Weather conditions exert a multifaceted influence on travel patterns, affecting departure times, mode selection and trip frequency across pedestrian, cycling and public transport. Moderate temperatures and clear skies tend to encourage active modes, whereas rain, high wind speeds and extreme heat suppress demand or shift travellers towards motorised options. Seasonal and diurnal fluctuations in daylight and precipitation can alter pedestrian and cyclist volumes by over 30 per cent. Public transport ridership may rise during adverse conditions as individuals seek sheltered travel, although extreme temperatures or flooding can disrupt services and reduce overall usage. Advances in machine-learning and time-series modelling enable real-time adjustment of service provision in response to meteorological forecasts. These insights guide the design of resilient infrastructure—such as shaded bus stops, strategic tree planting to moderate heat and enhanced lighting to support after-dark activity—and underpin policies promoting sustainable mobility under evolving climatic pressures.

Research from Nature Portfolio

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Weather Impacts on Transportation Behavior publication trend

The graph below shows the total number of articles in weather impacts on transportation behavior across all publications each year (not limited to Nature Index journals).

Technical terms

Microclimate: Local atmospheric conditions, including temperature, humidity and wind, at a specific urban scale.

Gradient Boosting Decision Tree: A machine-learning ensemble method that sequentially builds decision trees to capture complex, nonlinear relationships.

Geographically Weighted Regression: A spatial analysis technique allowing regression coefficients to vary across geographical locations to capture local influences.

References

  1. Weather, climate change, and transport: a review. Natural Hazards (2023).
  2. Assessing the effects of the built environment and microclimate on cycling volume. Transportation Research Part D Transport and Environment (2023).
  3. Deciphering urban bike-sharing patterns: An in-depth analysis of natural environment and visual quality in New York's Citi bike system. Journal of Transport Geography (2024).
  4. To travel or not to travel: ‘Weather’ is the question. Modelling the effect of local weather conditions on bus ridership. Transportation Research Part C Emerging Technologies (2018).
  5. Heat-Moderating Effects of Bus Stop Shelters and Tree Shade on Public Transport Ridership. International Journal of Environmental Research and Public Health (2021).
  6. Road lighting density and brightness linked with increased cycling rates after-dark. PLOS ONE (2020).
  7. Temporal, seasonal and weather effects on cycle volume: an ecological study. Environmental Health (2012).

About these summaries

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