Drivers’ Awareness of and Response to Two Significant Winter Storms Impacting a Metropolitan Area in the Intermountain West: Implications for Improving Traffic Flow in Inclement Weather

Kevin Barjenbruch National Weather Service, Salt Lake City, Utah

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Carol M. Werner University of Utah, Salt Lake City, Utah

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Randall Graham National Weather Service, Salt Lake City, Utah

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Cody Oppermann Traffic Operations Center, Utah Department of Transportation, Salt Lake City, Utah

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Glenn Blackwelder Traffic Operations Center, Utah Department of Transportation, Salt Lake City, Utah

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Jeff Williams Traffic Operations Center, Utah Department of Transportation, Salt Lake City, Utah

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Glen Merrill National Weather Service, Salt Lake City, Utah

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Scott Jensen Weathernet, Salt Lake City, Utah

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Justin Connolly Weathernet, Salt Lake City, Utah

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Abstract

Over the past several decades, Utah has experienced rapid population growth, resulting in increased demand on Utah’s existing interstate and arterial infrastructure. In the Salt Lake City, Utah, metropolitan area, recurring traffic congestion (i.e., peak commute times) and nonrecurring congestion (weather related) result in an estimated average annual cost of $449 million. Recent Utah Department of Transportation (UDOT) studies have confirmed that inclement weather plays a significant role in nonrecurring congestion and associated negative impacts. In an effort to measure and potentially mitigate weather-related traffic congestion, a cooperative research study between academic (University of Utah), state [Utah Department of Transportation (UDOT)], federal (National Weather Service), and private sector (Weathernet) entities was undertaken.

Driver awareness surveys were conducted for two significant winter storms along the Wasatch Front urban corridor. Participants typically used media and personal sources for gathering weather and road information, with government sources (UDOT and NWS) used less frequently. Use of government and personal sources were significant predictors of behavior change. Satisfaction with all information sources was high. The most frequent commuting changes reported were route changes and shifts in travel schedule, especially leaving early to avoid the storm. Self-reported actions from interviewees were supported by measured changes in speed, flow, and travel time from the Performance Measurement System (PeMS) utilized by UDOT. The long-term goal is to use these results to provide insight into how the weather enterprise might more effectively communicate hazard information to the public in a manner that leads to improved response (change travel times, modes, etc.).

Corresponding author address: Kevin Matthew Barjenbruch, National Weather Service, 2242 West North Temple, Salt Lake City, UT 84116. E-mail: kevin.barjenbruch@noaa.gov

Abstract

Over the past several decades, Utah has experienced rapid population growth, resulting in increased demand on Utah’s existing interstate and arterial infrastructure. In the Salt Lake City, Utah, metropolitan area, recurring traffic congestion (i.e., peak commute times) and nonrecurring congestion (weather related) result in an estimated average annual cost of $449 million. Recent Utah Department of Transportation (UDOT) studies have confirmed that inclement weather plays a significant role in nonrecurring congestion and associated negative impacts. In an effort to measure and potentially mitigate weather-related traffic congestion, a cooperative research study between academic (University of Utah), state [Utah Department of Transportation (UDOT)], federal (National Weather Service), and private sector (Weathernet) entities was undertaken.

Driver awareness surveys were conducted for two significant winter storms along the Wasatch Front urban corridor. Participants typically used media and personal sources for gathering weather and road information, with government sources (UDOT and NWS) used less frequently. Use of government and personal sources were significant predictors of behavior change. Satisfaction with all information sources was high. The most frequent commuting changes reported were route changes and shifts in travel schedule, especially leaving early to avoid the storm. Self-reported actions from interviewees were supported by measured changes in speed, flow, and travel time from the Performance Measurement System (PeMS) utilized by UDOT. The long-term goal is to use these results to provide insight into how the weather enterprise might more effectively communicate hazard information to the public in a manner that leads to improved response (change travel times, modes, etc.).

Corresponding author address: Kevin Matthew Barjenbruch, National Weather Service, 2242 West North Temple, Salt Lake City, UT 84116. E-mail: kevin.barjenbruch@noaa.gov
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  • Andrey, J., Mills B. , Leahy M. , and Suggett J. , 2003: Weather as a chronic hazard for road transportation in Canadian cities. Nat. Hazards, 28, 319343, doi:10.1023/A:1022934225431.

    • Search Google Scholar
    • Export Citation
  • Andrey, J., Hambly D. , Mills B. , and Afrin S. , 2013: Insights into driver adaptation to inclement weather in Canada. J. Transp. Geogr., 28, 192203, doi:10.1016/j.jtrangeo.2012.08.014.

    • Search Google Scholar
    • Export Citation
  • Black, A. W., and Mote T. L. , 2015: Effects of winter precipitation on automobile collisions, injuries, and fatalities in the U.S. J. Transp. Geogr., 48, 165175, doi:10.1016/j.jtrangeo.2015.09.007.

    • Search Google Scholar
    • Export Citation
  • Blincoe, L., Seay A. , Zaloshnja E. , Miller T. , Romano E. , Luchter S. , and Spicer R. , 2002: The economic impact of motor vehicle crashes: 2000. U.S. Department of Transportation, National Highway Traffic Safety Administration Tech. Rep. DOT HS 809 446, 86 pp. [Available online at http://www.nhtsa.gov/DOT/NHTSA/Communication%20&%20Consumer%20Information/Articles/Associated%20Files/EconomicImpact2000.pdf.]

  • Brown, B. B., Werner C. M. , and Kim N. , 2003: Personal and contextual factors supporting the switch to transit use: Evaluating a natural transit intervention. Anal. Soc. Issues Public Policy, 3, 139160, doi:10.1111/j.1530-2415.2003.00019.x.

    • Search Google Scholar
    • Export Citation
  • Call, D. A., 2005: Rethinking snowstorms as snow events: A regional case study from Upstate New York. Bull. Amer. Meteor. Soc., 86, 17831793, doi:10.1175/BAMS-86-12-1783.

    • Search Google Scholar
    • Export Citation
  • Call, D. A., 2011: The effect of snow on traffic counts in western New York State. Wea. Climate Soc., 3, 7175, doi:10.1175/WCAS-D-10-05008.1.

    • Search Google Scholar
    • Export Citation
  • Choe, T., Skabardonis A. , and Varaiya P. , 2002: Freeway performance measurement system: Operational analysis tool. Transp. Res. Rec., 1811, 6775, doi:10.3141/1811-08.

    • Search Google Scholar
    • Export Citation
  • Drobot, S., 2007: Evaluation of winter storm warnings: A case study of the Colorado Front Range December 20-21, 2006, winter storm. National Hazards Center Quick Response Rep. 192, 1–8.

  • Eisenberg, D., and Warner K. E. , 2005: Effects of snowfalls on motor vehicle collisions, injuries, and fatalities. Amer. J. Public Health, 95, 120125, doi:10.2105/AJPH.2004.048926.

    • Search Google Scholar
    • Export Citation
  • ESRI, 2014: ArcMap 10.2.2. ESRI.

  • Evans, G. W., Wener R. E. , and Phillips D. , 2002: The morning rush hour: Predictability and commuter stress. Environ. Behav., 34, 521530, doi:10.1177/00116502034004007.

    • Search Google Scholar
    • Export Citation
  • Gollwitzer, P. M., 1999: Implementation intentions: Strong effects of simple plans. Amer. Psychol., 54, 493503, doi:10.1037/0003-066X.54.7.493.

    • Search Google Scholar
    • Export Citation
  • Gollwitzer, P. M., and Sheeran P. , 2006: Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in Experimental Social Psychology, M. P. Zanna, Ed., Vol. 38, Elsevier, 69–119, doi:10.1016/S0065-2601(06)38002-1.

  • Goodwin, L. C., and Pisano P. A. , 2003: Weather-responsive traffic signal control. Proc. ITE 2003 Tech. Conf. and Exhibit, Ft. Lauderdale, FL, Institute of Transportation Engineers, 11 pp. [Available online at http://www.ops.fhwa.dot.gov/weather/resources/publications/fhwa/ite04sprwxrespsigcon.doc.]

  • Green, D., Patterson R. , Pisano P. , Alfelor R. , Dunn L. , Cox K. , Bridge P. , and Gondzar J. , 2014: Communicating surface weather across the enterprise for improved highway safety and operations. Ninth Symp. on Policy and Socio-Economic Research and the 30th Conf. on Environmental Information Processing Technologies, Atlanta, GA, Amer. Meteor. Soc., J7.2. [Available online at https://ams.confex.com/ams/94Annual/webprogram/Paper240426.html.]

  • Hayden, M. H., Drobot S. , Radil S. , Benight C. , Gruntfest E. C. , and Barnes L. R. , 2007: Information sources for flash flood warnings in Denver, CO and Austin, TX. Environ. Hazards, 7, 211219, doi:10.1016/j.envhaz.2007.07.001.

    • Search Google Scholar
    • Export Citation
  • Horel, J., Potter T. , Dunn L. , Steenburgh W. J. , Eubank M. , Splitt M. , and Onton D. J. , 2002: Weather support for the 2002 Winter Olympic and Paralympic Games. Bull. Amer. Meteor. Soc., 83, 227240, doi:10.1175/1520-0477(2002)083<0227:WSFTWO>2.3.CO;2.

    • Search Google Scholar
    • Export Citation
  • Maze, T., Agarwal M. , and Burchett G. , 2006: Whether weather matters to traffic demand, traffic safety, and traffic operations and flow. Transp. Res. Rec., 1948, 170176, doi:10.3141/1948-19.

    • Search Google Scholar
    • Export Citation
  • Pisano, P. A., Goodwin L. C. , and Rossetti M. A. , 2008: U.S. highway crashes in adverse road weather conditions. 24th Conf. on Interactive Information Processing Systems, New Orleans, LA, Amer. Meteor. Soc., 8.1. [Available online at https://ams.confex.com/ams/88Annual/techprogram/paper_133554.htm.]

  • Qiu, L., and Nixon W. A. , 2008: Effects of adverse weather on traffic crashes. Transp. Res. Rec., 2055, 139146, doi:10.3141/2055-16.

  • Schrank, D., Eisele B. , and Lomax T. , 2012: TTI’s 2012 urban mobility report: Powered by INRIX traffic data, 64 pp.

  • Smith, T. W., Ed., 2011: Standard definitions: Final dispositions of case codes and outcome rates for surveys. 7th ed. American Association for Public Opinion Research Rep., 61 pp.

  • U.S. DOT, 2014: How do weather events impact roads? Accessed 26 February 2014. [Available online at http://www.ops.fhwa.dot.gov/weather/q1_roadimpact.htm.]

  • Varaiya, P., 2001: Freeway Performance Measurement System, PeMS v3, phase 1: Final report. 16 pp. [Available online at http://its.berkeley.edu/sites/default/files/publications/UCB/2001/PWP/UCB-ITS-PWP-2001-17.pdf.]

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