A statistical analysis of the dynamics of household hurricane-evacuation decisions

Transportation

Volumn 45, Issue 1, 2018, Pages 51-70

  Sarwar, Md Tawfiq ^a   Anastasopoulos, Panagiotis Ch ^a   Ukkusuri, Satish V ^b   Murray Tuite, Pamela ^c   Mannering, Fred L ^d  

^a State University of New York   (United States)

^b PURDUE UNIVERSITY   (United States)

^c Virginia Polytechnic Institute and State University   (United States)

^d University of South Florida   (United States)

Author keywords

Binary logit model; Dynamics of hurricane evacuation; Emergency management; Joint modeling of evacuation decision and timing; Random parameters; Unbalanced panel data

Indexed keywords

EDUCATION; FLOODS; HURRICANES; PHYSIOLOGICAL MODELS; RISK MANAGEMENT; RISK PERCEPTION;

BINARY LOGIT MODEL; EMERGENCY MANAGEMENT; HURRICANE EVACUATION; JOINT MODELING; PANEL DATA; RANDOM PARAMETERS;

DECISION MAKING;

DECISION MAKING; HURRICANE IVAN 2004; LOGIT ANALYSIS; PANEL DATA; STATISTICAL ANALYSIS;

EID: 84976259074     PISSN: 00494488     EISSN: 15729435     Source Type: Journal    
DOI: 10.1007/s11116-016-9722-6     Document Type: Article

References (47)

1. Anastasopoulos, P.Ch., Mannering, F.L.: A note on modeling vehicle-accident frequencies with random parameter count models. Accid. Anal. Prev. 41(1), 153–159 (2009)
2. Anastasopoulos, P.Ch., Mannering, F.L.: An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data. Accid. Anal. Prev. 43(3), 1140–1147 (2011)
3. Anastasopoulos, P.Ch., Mannering, F.L.: Analysis of pavement overlay and replacement performance using random-parameters hazard-based duration models. J. Infrastruct. Syst. 21(1), 04014024 (2015)
4. Anastasopoulos, P.Ch., Labi, S., McCullouch, B.: Analyzing duration and prolongation of performance-based contracts using hazard-based duration and zero-inflated random parameters Poisson models. Transp. Res. Rec. 2136, 11–19 (2009)
5. Anastasopoulos, P.Ch., Labi, S., Karlaftis, M.G., Mannering, F.L.: Exploratory State-level empirical assessment of pavement performance. J. Infrastruct. Syst. 17(4), 200–215 (2011)
6. Anastasopoulos, P.Ch., Haddock, J.E., Karlaftis, M.G., Mannering, F.L.: Analysis of urban travel times: hazard-based approach to random parameters. Transp. Res. Rec. 2302, 121–129 (2012a)
7. Anastasopoulos, P.Ch., Karlaftis, M., Haddock, J., Mannering, F.L.: Household automobile and motorcycle ownership analyzed with random parameters bivariate ordered probit model. Transp. Res. Rec. 2279, 12–20 (2012b)
8. Anastasopoulos, P.Ch., Mannering, F.L., Haddock, J.: A random parameters seemingly unrelated equations approach to the post-rehabilitation performance of pavements. J. Infrastruct. Syst. 18(3), 176–182 (2012c)
9. Anastasopoulos, P.Ch., Mannering, F.L., Shankar, V.N., Haddock, J.E.: A study of factors affecting highway accident rates using the random-parameters tobit model. Accid. Anal. Prev. 45, 628–633 (2012d)
10. Baker, E.J.: Hurricane evacuation behavior. Int. J. Mass Emerg. Disasters 9(2), 287–310 (1991)
11. Behnood, A., Roshandeh, A., Mannering, F.L.: Latent class analysis of the effects of age, gender and alcohol consumption on driver-injury severities. Anal. Methods Accid. Res. 3–4, 56–91 (2014)
12. Ben-Akiva, M., Walker, M., Bernardino, A., Gopinath, D., Morikawa, T., Polydoropoulos, A.: Integration of choice and latent variable models. In: Mahmassani, H. (ed.) In Perpetual Motion: Travel Behavior Research Opportunities and Application Challenges. Pergamon, New York (2002)
13. Beven II, J.L., Avila, L.A., Blake, E.S., et al.: Atlantic hurricane season of 2005. Mon. Weather Rev. 136(3), 1109–1173 (2008). doi:10.1175/2007MWR2074.1
14. Bhat, C.: Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transp. Res. B 37(9), 837–855 (2003)
15. Dobler, C: Travel behaviour modelling for scenarios with exceptional events—methods and implementations, PhD Dissertation, IVT, ETH Zurich, Zurich (2013)
16. Dobler, C., Kowald, M., Rieser-Schüssler, N., Axhausen, K.W.: Within-day replanning of exceptional events. Transp. Res. Rec. 2302, 138–147 (2012)
17. Franklin, J.L., Pasch, R.J., Avila, L.A., et al.: Atlantic hurricane season of 2004. Mon. Weather Rev. 134(3), 981–1025 (2006)
18. Fu, H., Wilmot, C.: Sequential logit dynamic travel demand model for hurricane evacuation. Transp. Res. Rec. 1882, 19–26 (2004)
19. Gladwin, H., Peacock, W.: Warning and evacuation: a night for hard houses. In: Peacock, W., Morrow, B., Gladwin, H. (eds.) Hurricane Andrew: Ethnicity, Gender and the Sociology of Disasters. Routledge, New York (1997)
20. Gladwin, C., Gladwin, H., Peacock, W.: Modeling hurricane evacuation decisions with ethnographic methods. Int. J. Mass Emerg. Disasters 19(2), 117–143 (2001)
21. Greene, W.: LIMDEP Version 9.0. Econometric Software Inc., Plainview (2007)
22. Gudishala, R., Wilmot, C.: Comparison of time-dependent sequential logit and nested logit for modeling hurricane evacuation demand. Transp. Res. Rec. 2312, 134–140 (2012)
23. Hamed, M., Mannering, F.L.: Modeling travelers’ post-work activity involvement: toward a new methodology. Transp. Sci 27(4), 381–394 (1993)
24. Hasan, S., Ukkusuri, S.V., Gladwin, H., Murray-Tuite, P.: Behavioral model to understand household-level hurricane evacuation decision making. J Transp. Eng. ASCE 137(5), 341–348 (2011)
25. Hasan, S., Mesa-Arango, R., Ukkusuri, S.V.: A random-parameter hazard-based model to understand household evacuation timing behavior. Transp. Res. C 27, 108–116 (2013)
26. Koot, J.M., Kowald, M., Axhausen, K.W.: Modelling behaviour during a large-scale evacuation: a latent class model to predict evacuation behaviour, paper presented at the12th Swiss Transport Research Conference, Ascona, May 2012
27. Lindell, M., Lu, J., Prater, C.: Household decision making and evacuation in response to Hurricane Lili. Nat. Hazards Rev. 6(4), 171–179 (2005)
28. Lindell, M., Kang, J., Prater, C.: The logistics of household hurricane evacuation. Nat. Hazards Rev. 58(3), 1093–1109 (2011)
29. McFadden, D.: Econometric models of probabilistic choice. In: Manski, C., McFadden, D. (eds.) Structural Analysis of Discrete Data with Econometric Applications. MIT Press, Cambridge (1981)
30. Morrow, B., Gladwin, H.: Hurricane Ivan behavioral analysis, 2004 hurricane assessments. Federal Emergency Management Agency and US Army Corps of Engineers, Washington, DC (2005)
31. Murray-Tuite, P., Wolshon, B.: Evacuation transportation modeling: an overview of research, development, and practice. Transp. Res C 27, 25–45 (2013)
32. Nelson, C., Crumley, C., Fritzsche, B., Adcock, B.: Lower Southeast Florida Hurricane Evacuation Study. US Army Corps of Engineers, Jacksonville, Florida (1989)
33. Ozguven, E.E., Horner, M.W., Kocatepea, A., Marcelinb, J.M., Abdelraziga, Y., Sandoc, T., Mosesa, R.: Metadata-based needs assessment for emergency transportation operations with a focus on an aging population: a case study in Florida. Transp. Rev. (2015). doi:10.1080/01441647.2015.1082516
34. Pel, A., Bliemer, M., Hoogendoorn, S.: A review on travel behaviour modelling in dynamic traffic simulation models for evacuations. Transportation 39(1), 97–123 (2012)
35. Petrolia, D., Bhattacharjee, S.: Why don’t coastal residents choose to evacuate for hurricanes? Coast. Manag. 38(2), 97–112 (2010)
36. Russo, B., Savolainen, P., Schneider, W., Anastasopoulos, P.Ch.: Comparison of factors affecting injury severity in angle collisions by fault status using a random parameters bivariate ordered probit model. Anal. Methods Accid. Res. 2, 21–29 (2014)
37. Solis, D., Thomas, M., Letson, D.: An empirical evaluation of the determinants of household hurricane evacuation choice. J. Dev. Agric. Econ. 2(3), 188–196 (2010)
38. Sorensen, J.: Hazard warning systems: review of 20 years of progress. Nat. Hazards Rev. 1(2), 119–125 (2000)
39. Stewart, S.R.: Tropical cyclone report-Hurricane Ivan 2-24 September 2004. National Hurricane Center, Miami (2005)
40. Train, K.: Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge (2003)
41. Train, K: Halton sequences for mixed logit. Working paper. University of California, Department of Economics, Berkeley (1999)
42. Washington, S.P., Karlaftis, M.G., Mannering, F.L.: Statistical and Econometric Methods for Transportation Data Analysis, 2nd edn. CRC Press, Boca Raton (2011)
43. Whitehead, J.C., Edwards, B., Van Willigen, M., Maiolo, J.R., Wilson, K., Smith, K.: Heading for higher ground: factors affecting real and hypothetical hurricane evacuation behavior. Environ. Hazards 2(4), 133–142 (2000)
44. Widener, M.J., Horner, M.W., Metcalf, S.S.: Simulating the effects of social networks on a population’s hurricane evacuation participation. J. Geogr. Syst. 15, 193–209 (2013)
45. Wilmot, C.G., Mei, B.: Comparison of alternative trip generation models for Hurricane evacuation. Nat. Hazards Rev. 5(4), 170–178 (2004)
46. Wolshon, B.: Evacuation planning and engineering for Hurricane Katrina. Bridge 36(1), 27–34 (2006)
47. Young, R.K., Liesman, J.: Estimating the relationship between measured wind speed and overturning truck crashes using a binary logit model. Accid. Anal. Prev. 39(3), 574–580 (2007)