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Effects of Weather Variables on Pedestrian Volumes in Alameda County, California

Author

Listed:
  • Attaset, Vanvisa
  • Schneider, Robert J.
  • Arnold, Lindsay S.
  • Ragland, David R

Abstract

Accurate estimates of pedestrian volume are important for analyzing pedestrian movement and safety; methods to estimate these volumes are continuously evolving and being improved. However, relatively little is known about the impact of weather conditions on pedestrian activity. This paper evaluates the effect of weather by including temperature, cloud cover, wind, and precipitation variables in a linear regression model of pedestrian volumes. Pedestrian volumes were collected over approximately one year using automated counters at 13 different locations in Alameda County, California. These volumes were compared with weather data available from nearby weather stations. Results show that several weather variables had a significant influence on pedestrian volumes during certain time periods. Rain had the largest effect on pedestrian volumes at a given location, though clouds, wind, and both hot and cold temperatures were also shown to decrease volumes. This study demonstrates the importance of accounting for weather when analyzing pedestrian volumes. Future research should attempt to understand how the effect of weather conditions on pedestrian volumes varies by geographic region, time period, and local land use and site characteristics.

Suggested Citation

  • Attaset, Vanvisa & Schneider, Robert J. & Arnold, Lindsay S. & Ragland, David R, 2010. "Effects of Weather Variables on Pedestrian Volumes in Alameda County, California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3zn9f4cr, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt3zn9f4cr
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    References listed on IDEAS

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    1. Greene-Roesel, Ryan & Diogenes, Mara Chagas & Ragland, David R. & Lindau, Luis Antonio, 2008. "Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2n83w1q8, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Li, Junlong & Li, Xuhong & Chen, Dawei & Godding, Lucy, 2018. "Assessment of metro ridership fluctuation caused by weather conditions in Asian context: Using archived weather and ridership data in Nanjing," Journal of Transport Geography, Elsevier, vol. 66(C), pages 356-368.
    2. Singhal, Abhishek & Kamga, Camille & Yazici, Anil, 2014. "Impact of weather on urban transit ridership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 379-391.
    3. Martínez-de-Albéniz, Victor & Belkaid, Abdel, 2021. "Here comes the sun: Fashion goods retailing under weather fluctuations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 820-830.

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    Keywords

    Engineering; safeTREC;

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