TECHNICAL PAPERS
Mar 1, 2007

Critical Behavioral Assumptions in Evacuation Time Estimate Analysis for Private Vehicles: Examples from Hurricane Research and Planning

Publication: Journal of Urban Planning and Development
Volume 133, Issue 1

Abstract

The computation of evacuation time estimates (ETEs) for communities threatened by hurricanes requires analysts to develop sophisticated models of evacuation flows and significant progress has been made in this area over the past 25 years. However, ETEs also require accurate assumptions about the behavior of the risk area population, but social scientists’ research on population behavior has been poorly integrated with transportation engineers’ development of evacuation models. To address this disjuncture, the present article lists the principal behavioral variables affecting hurricane ETEs, describes the available empirical data relevant to ETE models, and provides recommendations for future analytic methods and research.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research was supported by the National Science Foundation under Grant Nos. NSFCMS 0219155 and NSFSES 0527699. None of the conclusions expressed here necessarily reflects views other than those of the writers. They wish to thank Tom Cova for comments on an earlier draft.

References

Abkowitz, M., and Meyer, E. (1996). “Technological advancements in hazardous materials evacuation planning.” Transportation Research Record. 1522, Transportation Research Board, Washington, D.C., 116–121.
Alam, S. A., and Goulias, K. G. (1999). “Dynamic emergency evacuation management system using geographic information system and spatiotemporal models of behavior.” Transportation Research Record. 1660, Transportation Research Board, Washington, D.C., 92–99.
Arlikatti, S., Lindell, M. K., Prater, C. S., and Zhang, Y. (2007). “Risk area accuracy and hurricane evacuation expectations of coastal residents.” Environ. Behav., 38(2), 226–247.
Baker, E. J. (1979). “Predicting response to hurricane warnings: A reanalysis of data from four studies.” Mass Emerg., 4(1), 9–24.
Baker, E. J. (1991). “Hurricane evacuation behavior.” Int. J. Mass Emerg. Disasters, 9(2), 287–310.
Barrett, B., Ran, B., and Pillai, R. (2000). “Developing a dynamic traffic management modeling framework for hurricane evacuation.” Transportation Research Record. 1733, Transportation Research Board, Washington, D.C., 115–121.
Church, R. L., and Cova, T. J. (2000). “Mapping evacuation risk on transportation networks using a spatial optimization model.” Transp. Res., Part C: Emerg. Technol., 8(1–6), 321–336.
Cova, T., and Church, R. (1997). “Modeling community evacuation vulnerability using GIS.” Int. J. Geograph. Inf. Sci., 11(8), 2211–2229.
Cova, T. J., and Johnson, J. P. (2002). “Microsimulation of neighborhood evacuations in the urban-wildland interface.” Envir. Plan. A, 34(12), 763–784.
Cova, T. J., and Johnson, J. P. (2003). “A network flow model for lane-based evacuation routing.” Transp. Res., Part A: Policy Pract., 37(7), 579–604.
Dow, K., and Cutter, S. L. (2002). “Emerging hurricane evacuation issues: Hurricane Floyd and South Carolina.” Nat. Hazards Rev., 3(1), 12–18.
Drabek, T. E. (1986). Human system responses to disaster, Springer, New York.
Drabek, T. E. (1996). “Disaster evacuation behavior: Tourists and other transients.” Monograph 58, Univ. of Colorado Institute of Behavioral Science Program on Environment and Behavior, Boulder, Colo.
Edelman, P., Herz, E., and Bickman, L. (1980). “A model of behaviour in fires applied to a nursing home fire.” Fires and human behaviour, D. Canter, ed., Wiley, New York, 181–203.
Gladwin, C. H., Gladwin, H., and Peacock, W. G. (2001). “Modeling hurricane evacuation decisions with ethnographic methods.” Int. J. Mass Emerg. Disasters, 19(2), 117–143.
Gladwin, H., and Peacock, W. G. (1997). “Warning and evacuation: A night for hard houses.” Hurricane Andrew: Gender, ethnicity, and the sociology of disasters, W. G. Peacock, B. H. Morrow, and H. Gladwin, eds., Routledge, London, 52–74.
Greene, M. R., Perry, R. W., and Lindell, M. K. (1981). “The March 1980 eruptions of Mt. St. Helens: Citizen information and threat perception.” Disasters, 5(1), 49–66.
Hobeika, A. G., and Kim, C. (1998). “Comparison of traffic assignments in evacuation modeling.” IEEE Trans. Eng. Manage., 45(2), 192–198.
Hobeika, A. G., Kim, C., and Beckwith, R. (1994). “A decision support system for developing evacuation plans around nuclear power stations.” Interfaces, 24(5), 22–35.
Homberger, W. S., Hall, J. W., Loutzenheiser, R. C., and Reilly, W. R. (1996). Fundamentals of traffic engineering, 14th Ed., Univ. of California Institute of Transportation Studies, Berkeley, Calif.
Jelesnianski, C. P., Chen, J., and Shaeffer, W. (1992). “SLOSH: Sea, lake, and overland surges from hurricanes.” NOAA Technical Rep. No. NWS 48, U.S. Dept. of Commerce, National Oceanographic and Atmospheric Administration, National Weather Service, Silver Springs, Md.
Kang, J. E., Lindell, M. K., and Prater, C. S. (2007). “Hurricane evacuation expectations and actual behavior in Hurricane Lili.” J. Appl. Soc. Psychol., in press.
Kaplan, J., and Demaria, M. (1995). “A simple empirical model for predicting the decay of tropical cyclone winds after landfall.” J. Appl. Meteorol., 34(11), 2499–2512.
Kerzner, H. (2003). Project management: A systems approach to planning, scheduling, and controlling, 8th Ed., Wiley, Hoboken, N.J.
Klepeis, N. E., Nelson, W. C., Ott, W. R., Robinson, J. P., Tsang, A. M., Switzer, P., Behar, J. V., Hern, S. C., and Englemann, W. H. (2001). “The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants.” J. Expo Anal Environ. Epidemiol., 11(3), 231–252.
Lewis, D. C. (1985). “Transport planning for hurricane evacuations.” ITE J., 55(8), 31–35.
Lindell, M. K. (1995). “Assessing emergency preparedness in support of hazardous facility risk analyses: An application at a U.S. hazardous waste incinerator.” J. Hazard. Mater., 40(3), 297–319.
Lindell, M. K. (2006). EMBLEM2: An empirically based large-scale evacuation time estimate model, Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex.
Lindell, M. K., Bolton, P. A., Perry, R. W., Stoetzel, G. A., Martin, J. B., and Flynn, C. B. (1985). “Planning concepts and decision criteria for sheltering and evacuation in a nuclear power plant emergency.” Atomic Industrial Forum/National Environmental Studies Project No. AIF/NESP-031, Bethesda, Md.
Lindell, M. K., Lu, J. C., and Prater, C. S. (2005a). “Household evacuation decision making response to Hurricane Lili.” Nat. Hazards Rev., 6(4), 171–179.
Lindell, M. K., and Perry, R. W. (1987). “Warning mechanisms in emergency response systems.” Int. J. Mass Emerg. Disasters, 5(2), 137–153.
Lindell, M. K., and Perry, R. W. (1992). Behavioral foundations of community emergency planning, Hemisphere, Washington, D.C.
Lindell, M. K., and Prater, C. S. (2006a). “Evacuation from Hurricane Katrina: Jefferson and St. Charles parishes.” National Hurricane Conf., Orlando, Fla.
Lindell, M. K., and Prater, C. S. (2006b). Understanding evacuation demand, ITS America, Philadelphia.
Lindell, M. K., and Prater, C. S. (2007). “A hurricane evacuation management decision support system (EMDSS).” Natural Hazards, in press.
Lindell, M. K., Prater, C. S., and Peacock, W. G. (2005b). “Communication and organizational decision making for hurricane emergencies.” National Weather Service Hurricane Forecast Socioeconomic Workshop, National Weather Service, Pomona, Calif.
Lindell, M. K., Prater, C. S., and Perry, R. W. (2007). Introduction to emergency management, Wiley, Hoboken, N.J.
Lindell, M. K., Prater, C. S., Perry, R. W., and Wu, J. Y. (2002a). “EMBLEM: An empirically-based large scale evacuation time estimate model.” Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex., www.txdps.state.tx.us/dem/documents.htm#hurricane (December 21, 2006).
Lindell, M. K., Prater, C. S., Sanderson, W. G., Lee, Jr., H. M., Zhang, Y., Mohite, A., and Hwang, S. N. (2001). “Texas gulf coast residents’ expectations and intentions regarding hurricane evacuation.” Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex., www.txdps.state.tx.us/dem/documents.htm#hurricane (December 21, 2006).
Lindell, M. K., Prater, C. W., and Wu, J. Y. (2002b) “Hurricane evacuation time estimates for the Texas gulf coast.” Texas A&M University Hazard Reduction and Recovery Center, College Station, Tex., www.txdps.state.tx.us/dem/documents.htm#hurricane (December 21, 2006).
Mileti, D. S., and Peek, L. (2000). “The social psychology of public response to warnings of a nuclear power plant accident.” J. Hazard. Mater., 75(2–3), 181–194.
Mileti, D. S., Sorensen, J. H., and O’Brien, B. W. (1992). “Toward an explanation of mass care shelter use in evacuations.” Int. J. Mass Emerg. Disasters, 10(1), 25–42.
Nicholas, J. M. (2004) Project management for business and engineering: Principles and practices, Elsevier Butterworth-Heinemann, Burlington, Mass.
Oak Ridge National Laboratory (ORNL). (2003). OREMS: Oak Ridge evacuation modeling system, Version 2.50, Oak Ridge National Laboratory, Oak Ridge, Tenn.
Petrucelli, U. (2003). “Urban evacuation in seismic emergency conditions.” ITE J., 73(8), 34–38.
Pidd, M., de Silva, F., and Eglese, R. (1996). “A simulation model for emergency evacuation.” Eur. J. Oper. Res., 90(3), 413–419.
PBS&J Corp. (1999). Hurricane Georges assessment, Tallahasse, Fla.
Prater, C., Wenger, D., and Grady, K. (2000). Hurricane Bret post storm assessment: A review of the utilization of hurricane evacuation studies and information dissemination, Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex.
Radwan, A. E., Hobeika, A. G., and Sivasailam, D. (1985). “A computer simulation model for rural network evacuation under natural disasters.” ITE J., 55(9), 25–30.
Riad, J. K., Norris, F. H., and Ruback, R. B. (1999). “Predicting evacuation in two major disasters: Risk perception, social influence, and access to resources.” J. Appl. Soc. Psychol., 29(5), 918–934.
Ruch, C., and Schumann, G. (1997). Corpus Christi study area hurricane contingency planning guide, Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex.
Ruch, C., and Schumann, G. (1998), Houston/Galveston study area hurricane contingency/planning guide, Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex.
Safwat, N., and Youssef, H. (1997). Texas hurricane evacuation time estimates, Texas A&M Univ. Hazard Reduction and Recovery Center, College Station, Tex.
Schwab, J., Topping, K. C., Eadie, C. C., Deyle, R. E., and Smith, R. A. (1998). “Planning for post-disaster recovery and reconstruction.” PAS Rep. No. 483/484, American Planning Association, Chicago.
Sheffi, Y., Mahmassani, H., and Powell, W. B. (1981). “Evacuation studies for nuclear power plant sites: A new challenge for transportation engineers.” ITE J., 57(6), 25–28.
Sheffi, Y., Mahmassani, H., and Powell, W. B. (1982). “A transportation network evacuation model.” Transp. Res., Part A, 16(3), 209–218.
Sherali, H. D., Carter, T. B., and Hobeika, A. G. (1991). “A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions.” Transp. Res., Part B: Methodol., 25(6), 439–452.
Sinuany-Stern, Z., and Stern, E. (1993). “Simulating the evacuation of a small city: The effect of traffic factors.” Socio-Econ. Plan. Sci., 27(2), 97–108.
Smith, S. K., Tayman, J., and Swanson, D. A. (2001). State and local population projections: Methodology and analysis, Kluwer, New York.
Sorensen, J. H. (2000). “Hazard warning systems: Review of 20 years of progress.” Nat. Hazards Rev., 1(2), 119–125.
Sorensen, J. H., and Rogers, G. O. (1989). “Warning and response in two hazardous materials transportation accidents in the U.S.” J. Hazard. Mater., 22(1), 57–74.
Sorensen, J. H., Shumpert, B. L., and Vogt., B. M. (2004). “Planning for protective action decision making: Evacuate or shelter in-place.” J. Hazard. Mater., A109(1–3), 1–11.
Southworth, F. (1991). “Regional evacuation modeling: A state-of-the-art review.” ORL/TM–11740, Oak Ridge National Laboratory, Oak Ridge, Tenn.
Southworth, R., and Chin, S.-M. (1987). “Network evacuation modeling for flooding as a result of dam failure.” Envir. Plan. A, 19(11), 1543–1558.
Stern, E., and Sinuany-Stern, Z. (1989). “A behavioral based simulation model for urban evacuation.” Papers of the Regional Science Association, 66, 87–103.
Texas Department of Public Safety. (2000). IH 37 conversion for hurricane evacuation, Austin, Tex.
Texas Governor’s Division of Emergency Management. (2002), Hurricane contingency planning guide: Lake Sabine study area, Austin, Tex.
Tierney, K. J., Lindell, M. K., and Perry, R. W. (2001). Facing the unexpected: Disaster preparedness and response in the United States, Joseph Henry, Washington, D.C.
Transportation Research Board (TRB). (1998), High Capacity Manual: Special Rep. 209, 3rd Ed., Washington, D.C.
Tufecki, S., and Kisko, T. (1991). “Regional evacuation modeling system (REMS): A decision support system for emergency area evacuations.” Comput. Ind. Eng., 21(1), 89–93.
Tweedie, S. W., Rowland, J. R., Walsh, S. J., Rhoten, R. P., and Hagle, P. I. (1986). “A methodology for estimating emergency evacuation times.” Social Science J., 23(2), 189–204.
Urbanik, T. (1979). “Hurricane evacuation demand and capacity estimation.” Hurricanes and coastal storms: Awareness, education, and mitigation, E. J. Baker, ed., Florida State Univ., Tallahassee, Fla., 32–37.
Urbanik, T. (1994). “State of the art in evacuation time estimates for nuclear power plants.” Int. J. Mass Emerg. Disasters, 12(3), 327–343.
Urbanik, T. (2000). “Evacuation time estimates for nuclear power plants.” J. Hazard. Mater., 75(2–3), 165–180.
Urbanik, T., Desrosiers, A., Lindell, M. K., and Schuller, C. R. (1980). “An analysis of techniques for estimating evacuation times for emergency planning zones.” NUREG/CR-1745, U.S. Nuclear Regulatory Commission, Washington, D.C.
Urbanik, T., Moeller, M. P., and Barnes, K. (1988a). “Benchmark study of the I-DYNEV evacuation time estimate computer code.” NUREG/CR-4873, U.S. Nuclear Regulatory Commission, Washington, D.C.
Urbanik, T., Moeller, M. P., and Barnes, K. (1988b). “The sensitivity of evacuation time estimates to changes in input parameters for the I-DYNEV computer code.” NUREG/CR-4874, U.S. Nuclear Regulatory Commission, Washington, D.C.
Urbaina, E., and Wolshon, B. (2003). “National review of hurricane evacuation plans and policies: A comparison and contrast of state practices.” Transp. Res., Part A: Policy Pract., 37(3), 257–275.
Vogt, B. M. (1991). “Issues in nursing home evacuations.” Int. J. Mass Emerg. Disasters, 9(2), 247–265.
Wolshon, B. (2001). “‘One-way-out’: Contraflow freeway operation for hurricane operation.” Nat. Hazards Rev., 2(3), 105–112.
Wolshon, B. (2002). “Planning for the evacuation of New Orleans.” ITE J., 72(2), 44–49.
Zeigler, D. J., Brunn, S. D., and Johnson, J. H. (1981). “Evacuation from a nuclear technological disaster.” Geogr. Rev., 71(1), 1–16.
Zhang, Y., Prater, C. S., and Lindell, M. K. (2004). “Risk area accuracy and evacuation from Hurricane Bret.” Nat. Hazards Rev., 5(3), 115–120.

Information & Authors

Information

Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 133Issue 1March 2007
Pages: 18 - 29

History

Received: Sep 9, 2005
Accepted: Aug 22, 2006
Published online: Mar 1, 2007
Published in print: Mar 2007

Permissions

Request permissions for this article.

Authors

Affiliations

Michael K. Lindell
Professor, Hazard Reduction and Recovery Center, Texas A&M Univ., College Station, TX 77843-3137 (corresponding author).
Carla S. Prater
Associate Director, Hazard Reduction and Recovery Center, Texas A&M Univ., College Station, TX 77843-3137.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share