Assessing Impact of Weather and Season on Pedestrian Traffic Volumes
Abstract
Twelve months of automated hourly pedestrian counts in downtown Montpelier, Vermont (population 8,035), were analyzed along with weather data (temperature, relative humidity, precipitation, and wind) to determine the factors affecting count variability. This study is unique in that a large amount of data in a single location was collected in a locale with an extreme range of weather conditions. Results indicate consistent patterns in relative volumes by hour of the day and month of the year that show that good adjustment factors can be developed to use with time-limited counts to estimate usage and pedestrian exposure to accidents. Predictive relationships were found between weather variables, season, and pedestrian volumes (30% of the variation is accounted for). Consistent hourly patterns within a day and the consistency of day type (weekday or Saturday versus holiday or Sunday) suggest that correction factors and forecasting methods are feasible for pedestrian traffic volumes. The results indicate that weather such as cold temperatures or precipitation consistently reduces aggregate levels of walking by only a moderate amount (less than 20%). Precipitation and season are found to affect pedestrian levels even when time of day and day of week are controlled, but other, larger, unmeasured factors are at play.
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References
1. Schwartz W. L., Porter C. D., Payne G. C., Suhrbier J. H., Moe P. C., and Wilkinson W. L. III Guidebook on Methods to Estimate Nonmotorized Travel: Overview of Methods. Report FHWA-RD-98-165. FHWA, U.S. Department of Transportation, 1999.
2. Schneider R., Patton R., Toole J., and Raborn C. Pedestrian and Bicycle Data Collection in United States Communities: Quantifying Use, Surveying Users, and Documenting Facility Extent. Pedestrian and Bicycle Information Center, Highway Safety Research Center, University of North Carolina, Chapel Hill, 2005.
3. Alta Planning and Design, Inc. National Bicycle and Pedestrian Documentation Project: Description. Pedestrian & Bicycle Council, Institute of Transportation Engineers, Washington, D.C., 2005.
4. Hottenstein A., Turner S., and Shunk G. Bicycle and Pedestrian Travel Demand Forecasting: Summary of Data Collection Activities. Publication FHWA/TX-98/1723-1. Texas Transportation Institute; FHWA, U.S. Department of Transportation, 1997.
5. Soot S. Trends in Downtown Pedestrian Traffic and Methods of Estimating Daily Volumes. In Transportation Research Record 1325, TRB, National Research Council, Washington, D.C., 1991, pp. 75–82.
6. Porter C., Suhrbier J., and Schwartz W. L. Forecasting Bicycle and Pedestrian Travel: State of the Practice and Research Needs. In Transportation Research Record: Journal of the Transportation Research Board, No. 1674, TRB, National Research Council, Washington, D.C., 1999, pp. 94–101.
7. Clifton K. J., and Livi A. D. Gender Differences in Walking Behavior, Attitudes About Walking, and Perceptions of the Environment in Three Maryland Communities. In Conference Proceedings 35: Research on Women's Issues in Transportation, Volume 2: Technical Papers, Transportation Research Board of the National Academies, Washington, D.C., 2005.
8. King K. L., and Badoe D. A. Travel Behavior of University Students in Weekday Journey to Campus and Its Implications for Campus Transport Planning. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
9. Nankervis M. The Effect of Weather and Climate on Bicycle Commuting. Transportation Research, Vol. 33A, 1999, pp. 417–431.
10. Daamen W., and Hoogendoorn S. P. Experimental Research on Pedestrian Walking Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 1828, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 20–30.
11. Montufar J., Arango J., Porter M., and Nakagawa S. Pedestrians’ Normal Walking Speed and Speed When Crossing the Street. In Transportation Research Record: Journal of the Transportation Research Board, No. 2002, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 90–97.
12. Knoblauch R. L., Pietrucha M. T., and Nitzburg M. Field Studies of Pedestrian Walking Speed and Start-Up Time. In Transportation Research Record 1538, TRB, National Research Council, Washington, D.C., 1996, pp. 27–38.
13. Muraleetharan T., Meguro K., Adachi T., Hagiwara T., and Kagaya S. Influence of Winter Road Conditions and Signal Delay on Pedestrian Route Choice in Japan's Snowiest Metropolis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1939, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 145–153.
14. Guo Z., Wilson N. H. M., and Rahbee A. Impact of Weather on Transit Ridership in Chicago, Illinois. In Transportation Research Record: Journal of the Transportation Research Board, No. 2034, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 3–10.
15. Green-Roesel R., Diogenes M. C., and Ragland D. R. Estimating Pedestrian Accident Exposure: Protocol Report. Traffic Safety Center, Institute of Transportation Studies, University of California, Berkeley, 2007.
16. Green-Roesel R., Diogenes M. C., Ragland D. R., and Lindau L. A. Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts. Traffic Safety Center, Institute of Transportation Studies, University of California, Berkeley, 2007.
17. Bell A. Technology Innovations: Infrared Bicyclist and Pedestrian Counter. In Bike/Ped Professional: Journal of the Association of Pedestrian and Bicycle Professionals, 2006, pp. 4–5.
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Article first published online: January 1, 2009
Issue published: January 2009
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