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Impact of cold and snow on temporal and spatial variations of highway traffic volumes

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  • Datla, Sandeep
  • Sharma, Satish

Abstract

Presented in this paper is an investigation of the impact of cold and snow on daily and hourly traffic volume variations with detailed considerations to the highway type and location. Regression models are developed to relate the daily and hourly traffic volumes with categorized cold and total snowfall. The study results indicate that the impact of cold and snow on traffic volume varies with day of the week, hour of the day and the type of highway. The commuter roads experience lowest reductions in traffic volume due to cold (up to 14%) while the recreational roads experience highest reduction (up to 31%). Impact of cold on off-peak hours (−10% to −15%) is generally higher than peak hours (−6% to −10%) for commuter roads and an opposite pattern is observed for recreational roads (peak hour reductions of 30–58% and off-peak hour reductions of 18–30%). A clear indication of reduction in traffic volume due to snow is also observed for all types of highways. A detailed investigation is also carried out in this study to illustrate the usefulness of the developed weather models in the context of missing traffic data imputations.

Suggested Citation

  • Datla, Sandeep & Sharma, Satish, 2008. "Impact of cold and snow on temporal and spatial variations of highway traffic volumes," Journal of Transport Geography, Elsevier, vol. 16(5), pages 358-372.
    • Handle: RePEc:eee:jotrge:v:16:y:2008:i:5:p:358-372
    DOI: 10.1016/j.jtrangeo.2007.12.003
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    1. Jean Andrey & Brian Mills & Mike Leahy & Jeff Suggett, 2003. "Weather as a Chronic Hazard for Road Transportation in Canadian Cities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 28(2), pages 319-343, March.
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    Cited by:

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    3. Kvizda, Martin & Seidenglanz, Daniel, 2014. "Out of Prague: a week-long intermodal shift from air to rail transport after Iceland’s Eyjafjallajökull erupted in 2010," Journal of Transport Geography, Elsevier, vol. 37(C), pages 102-111.
    4. Yanmin Qi & Zuduo Zheng & Dongyao Jia, 2020. "Exploring the Spatial-Temporal Relationship between Rainfall and Traffic Flow: A Case Study of Brisbane, Australia," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    5. Bardal, Kjersti Granås, 2017. "Impacts of adverse weather on Arctic road transport," Journal of Transport Geography, Elsevier, vol. 59(C), pages 49-58.
    6. Black, Alan W. & Mote, Thomas L., 2015. "Effects of winter precipitation on automobile collisions, injuries, and fatalities in the United States," Journal of Transport Geography, Elsevier, vol. 48(C), pages 165-175.
    7. Saenz-de-Miera, Oscar & Rosselló, Jaume, 2012. "The responsibility of tourism in traffic congestion and hyper-congestion: A case study from Mallorca, Spain," Tourism Management, Elsevier, vol. 33(2), pages 466-479.
    8. Andrey, Jean & Hambly, Derrick & Mills, Brian & Afrin, Sadia, 2013. "Insights into driver adaptation to inclement weather in Canada," Journal of Transport Geography, Elsevier, vol. 28(C), pages 192-203.
    9. Daniel Burow & Christopher Atkinson, 2019. "An examination of traffic volume during snow events in northeast Ohio," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1179-1189, November.
    10. Yichuan Peng & Yuming Jiang & Jian Lu & Yajie Zou, 2018. "Examining the effect of adverse weather on road transportation using weather and traffic sensors," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-14, October.
    11. Andrey, Jean, 2010. "Long-term trends in weather-related crash risks," Journal of Transport Geography, Elsevier, vol. 18(2), pages 247-258.
    12. Songhua Hu & Kailai Wang & Lingyao Li & Yingrui Zhao & Zhenbing He & Yunpeng & Zhang, 2023. "Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data," Papers 2310.14380, arXiv.org.
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    14. Chen, Cong & Zhang, Su & Zhang, Guohui & Bogus, Susan M. & Valentin, Vanessa, 2014. "Discovering temporal and spatial patterns and characteristics of pavement distress condition data on major corridors in New Mexico," Journal of Transport Geography, Elsevier, vol. 38(C), pages 148-158.
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