A Revealed Preference Methodology to Evaluate Regret Minimization with Challenging Choice Sets: A Wildfire Evacuation Case Study

Travel Behaviour and Society - Tập 20 - Trang 331-347 - 2020
Stephen D. Wong1, Caspar G. Chorus2, Susan A. Shaheen3, Joan L. Walker4
1Department of Civil and Environmental Engineering, University of California, Berkeley, 116 McLaughlin Hall, Berkeley, CA, USA
2Faculty of Technology, Policy and Management, Delft University of Technology, Building 31, Room B3.120, Delft, Netherlands
3Department of Civil and Environmental Engineering, Transportation Sustainability Research Center, University of California, Berkeley, 408 McLaughlin Hall, Berkeley, CA, USA
4Department of Civil and Environmental Engineering, University of California, Berkeley, 111 McLaughlin Hall, Berkeley, CA, USA

Tài liệu tham khảo

ABC7., 2017a. Rye Fire 35 percent contained after charring 6K acres in Santa Clarita | abc7.com. https://abc7.com/6k-acre-rye-fire-50-percent-contained-in-santa-clarita-area/2756803/. ABC7., 2017b. Skirball Fire in Bel Air area 50 percent contained after some evacuations lifted | abc7.com. https://abc7.com/skirball-fire-50-percent-contained-after-some-evacuations-lifted/2757302/. Akbarzadeh, 2015, Time-dependent route choice in hurricane evacuation, Nat. Hazard. Rev., 16, 04014021, 10.1061/(ASCE)NH.1527-6996.0000159 An, 2015, Integrating regret psychology to travel mode choice for a transit-oriented evacuation strategy, Sustainability, 7, 8116, 10.3390/su7078116 Anowar, 2019, Regret minimization based joint econometric model of mode choice and departure time: a case study of university students in Toronto, Canada, Transportmetrica A: Transport Science, 15, 1214, 10.1080/23249935.2019.1573859 Belgiawan, P.F., Schmid, B., Dubernet, I., Axhausen, K.W., 2017. Comparison between RUM, RRM variants, and RAM Swiss SP and RP data sets. 17th Swiss Transport Research Conference, Ascona, Switzerland. Ben-Akiva, 1985 Benight, C., Gruntfest, E., Sparks, K., 2004. Colorado Wildfires 2002. https://hazards.colorado.edu/uploads/basicpage/qr167_mod.pdf. Bierlaire, M., 2003. BIOGEME: a free package for the estimation of discrete choice models [Software Package]. https://biogeme.epfl.ch/. Boeri, 2012, Site choices in recreational demand: a matter of utility maximization or regret minimization?, J. Environ. Econ. Policy, 1, 32, 10.1080/21606544.2011.640844 Cal Fire, & Ventura County Fire Department, 2019. [Incident Report]. https://vcfd.org/images/news/Thomas-Fire-Investigation-Report_Redacted_3-14-19.pdf. Chorus, 2010, A new model of random regret minimization, Eur. J. Transp. Infrastruct. Res., 10 Chorus, 2012, Random regret minimization: an overview of model properties and empirical evidence, Transport Reviews, 32, 75, 10.1080/01441647.2011.609947 Chorus, C.G., 2012b. Empirical Application of Random Regret Minimization-Models. In: Chorus, C.G. (Ed.), Random Regret-based Discrete Choice Modeling: A Tutorial (pp. 17–34). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-29151-7_3. Chorus, 2008, A random regret-minimization model of travel choice, Transport. Res. Part B: Methodological, 42, 1, 10.1016/j.trb.2007.05.004 Chorus, 2013, Regret minimization or utility maximization: it depends on the attribute, Environ. Plann. B: Plann. Design, 40, 154, 10.1068/b38092 Chorus, 2014, Random regret minimization for consumer choice modeling: Assessment of empirical evidence, J. Busin. Res., 67, 2428, 10.1016/j.jbusres.2014.02.010 Deka, D., & Carnegie, J. (2010). Analyzing Evacuation Behavior of Transportation-Disadvantaged Populations in Northern New Jersey. Transportation Research Board 89th Annual MeetingTransportation Research Board. https://trid.trb.org/view/910046. Fischer, 1995, Evacuation behaviour: why do some evacuate, while others do not? a case study of the Ephrata, Pennsylvania (USA) evacuation, Disaster Prevent. Manage.: Int. J., 4, 30, 10.1108/09653569510093414 Fu, 2004, Sequential logit dynamic travel demand model for hurricane evacuation, Transport. Res. Record: J. Transport. Res. Board, 1882, 19, 10.3141/1882-03 Fu, 2006, Sequential logit dynamic travel demand model and its transferability, Transp. Res. Rec., 10 Golshani, 2019, Evacuation decision behavior for no-notice emergency events, Transport. Res. Part D: Transport Environ., 10.1016/j.trd.2019.01.025 Golshani, 2019, Analysis of evacuation destination and departure time choices for no-notice emergency events, Transportmetrica A: Transport Sci., 15, 896, 10.1080/23249935.2018.1546778 Guevara, 2014, Sampling of alternatives in random regret minimization models, Transport. Sci., 50, 306, 10.1287/trsc.2014.0573 Guevara, 2016, Modeling the decoy effect with context-RUM Models: diagrammatic analysis and empirical evidence from route choice SP and mode choice RP case studies, Transport. Res. Part B: Methodological, 93, 318, 10.1016/j.trb.2016.07.012 Hausman, 2012, Contingent valuation: from dubious to hopeless, J. Econ. Perspectives, 26, 43, 10.1257/jep.26.4.43 Hensher, 2016, Random regret minimization and random utility maximization in the presence of preference heterogeneity: an empirical contrast, J. Transp. Eng., 142, 04016009, 10.1061/(ASCE)TE.1943-5436.0000827 Hess, 2013, A mixed random utility—random regret model linking the choice of decision rule to latent character traits, J. Choice Modell., 9, 27, 10.1016/j.jocm.2013.12.005 Hess, 2012, Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies, Transportation, 39, 565, 10.1007/s11116-011-9365-6 Hsu, 2013, An aggregate approach to model evacuee behavior for no-notice evacuation operations, Transportation, 40, 671, 10.1007/s11116-012-9440-7 Huang, 2012, Household evacuation decision making in response to hurricane Ike, Nat. Hazard. Rev., 13, 283, 10.1061/(ASCE)NH.1527-6996.0000074 Jing, 2018, Travel mode and travel route choice behavior based on random regret minimization: a systematic review, Sustainability, 10, 1185, 10.3390/su10041185 Kim, 2017, Satisfaction and uncertainty in car-sharing decisions: an integration of hybrid choice and random regret-based models, Transport. Res. Part A: Policy Practice, 95, 13 Kinateder, M., Ronchi, E., Nilsson, D., Kobes, M., Müller, M., Pauli, P., & Mühlberger, A. (2014). Virtual reality for fire evacuation research. 2014 Federated Conference on Computer Science and Information Systems, 313–321. https://doi.org/10.15439/2014F94. Kinsey, 2019, Cognitive biases within decision making during fire evacuations, Fire Technol., 55, 465, 10.1007/s10694-018-0708-0 Kuligowski, 2013, Predicting human behavior during fires, Fire Technol., 49, 101, 10.1007/s10694-011-0245-6 Kuligowski, E.D., 2009. The process of human behavior in fires (NBS TN 1632; p. NBS TN 1632). National Bureau of Standards. https://doi.org/10.6028/NIST.TN.1632. Kuligowski, 2005 Li, 2019, Setting Wildfire Evacuation Triggers by Coupling Fire and Traffic Simulation Models: A Spatiotemporal GIS Approach, Fire Technol., 55, 617, 10.1007/s10694-018-0771-6 Lin, 2014, Evacuees’ information sources and reentry decision making in the aftermath of Hurricane Ike, Nat. Hazards, 70, 865, 10.1007/s11069-013-0853-1 Liu, 2012, Analysis of child pick-up during daily routines and for daytime no-notice evacuations, Transport. Res. Part A: Policy Practice, 46, 48 Liu, 2014, Incorporating household gathering and mode decisions in large-scale no-notice evacuation modeling, Comput.-Aided Civ. Infrastruct. Eng., 29, 107, 10.1111/mice.12008 Loomes, 1982, Regret theory: an alternative theory of rational choice under uncertainty, Econ. J., 92, 805, 10.2307/2232669 Louviere, 2000 Lovreglio, 2014, A discrete choice model based on random utilities for exit choice in emergency evacuations, Saf. Sci., 62, 418, 10.1016/j.ssci.2013.10.004 Lovreglio, 2016, An Evacuation Decision Model based on perceived risk, social influence and behavioural uncertainty, Simul. Model. Pract. Theory, 66, 226, 10.1016/j.simpat.2016.03.006 McCaffrey, 2009, Public Response to Wildfire: Is the Australian “Stay and Defend or Leave Early” Approach an Option for Wildfire Management in the United States?, J. Forestry, 107, 9 McCaffrey, 2018, Should i stay or should i go now? or should i wait and see? influences on wildfire evacuation decisions, Risk Anal., 38, 1390, 10.1111/risa.12944 McCaffrey, 2011, Understanding homeowner preparation and intended actions when threatened by a wildfire, U.S. Department of Agriculture, Forest Service McNeill, 2015, Predicting delay in residents’ decisions on defending v. Evacuating through antecedents of decision avoidance, Int. J. Wildland Fire, 24, 153, 10.1071/WF12213 Mesa-Arango, 2013, Household-level model for hurricane evacuation destination type choice using hurricane ivan data, Nat. Hazard. Rev., 14, 11, 10.1061/(ASCE)NH.1527-6996.0000083 Morikawa, 1989 Mozumder, 2008, Investigating intended evacuation from wildfires in the wildland–urban interface: Application of a bivariate probit model, Forest Policy Econ., 10, 415, 10.1016/j.forpol.2008.02.002 Murray-Tuite, 2012, Changes in evacuation decisions between hurricanes Ivan and Katrina, Transport. Res. Record: J. Transport. Res. Board, 2312, 98, 10.3141/2312-10 Nguyen, 2019, Modeling individual and group evacuation decisions during wildfires, Fire Technol., 55, 517, 10.1007/s10694-018-0770-7 Parthan, 2013, Investigation of alternate behavioural frameworks for mode choice decisions of workers in Chennai city, Procedia – Social Behav. Sci., 104, 573, 10.1016/j.sbspro.2013.11.151 Paveglio, 2014, Understanding evacuation preferences and wildfire mitigations among Northwest Montana residents, Int. J. Wildland Fire, 23, 435, 10.1071/WF13057 Prato, 2014, Expanding the applicability of random regret minimization for route choice analysis, Transportation, 41, 351, 10.1007/s11116-013-9489-y Ramos, 2014, A state-of-the-art review: developments in utility theory, prospect theory and regret theory to investigate travellers’ behaviour in situations involving travel time uncertainty, Transp. Rev., 34, 46, 10.1080/01441647.2013.856356 Ronchi, 2013, Fire evacuation in high-rise buildings: A review of human behaviour and modelling research, Fire Sci. Rev., 2, 7, 10.1186/2193-0414-2-7 Ronchi, 2016, A virtual reality experiment on flashing lights at emergency exit portals for road tunnel evacuation, Fire Technol., 52, 623, 10.1007/s10694-015-0462-5 Ronchi, 2014, A method for the analysis of behavioural uncertainty in evacuation modelling, Fire Technol., 50, 1545, 10.1007/s10694-013-0352-7 Sadri, 2014, How to evacuate: model for understanding the routing strategies during hurricane evacuation, J. Transp. Eng., 140, 61, 10.1061/(ASCE)TE.1943-5436.0000613 Sarwar, 2018, A statistical analysis of the dynamics of household hurricane-evacuation decisions, Transportation, 45, 51, 10.1007/s11116-016-9722-6 Serna, J., Nelson, L., Kohli, S., Shyong, F., 2017. Death toll rises in wine country as some return to devastated communities—Los Angeles Times. https://www.latimes.com/local/lanow/la-me-wine-country-fire-mainbar-20171017-story.html. Serna, J., Mejia, B., 2017. Creek fire jumps 210 Freeway, spreads into Shadow Hills and Angeles National Forest. Latimes.Com. https://www.latimes.com/local/lanow/la-me-creek-fire-20171205-story.html. Sharma, 2019, Park-and-ride lot choice model using random utility maximization and random regret minimization, Transportation, 46, 217, 10.1007/s11116-017-9804-0 Smith, 2009, Fleeing the storm(s): an examination of evacuation behavior during Florida’s 2004 hurricane season, Demography, 46, 127, 10.1353/dem.0.0048 Solís, 2010, An empirical evaluation of the determinants of household hurricane evacuation choice, J. Develop. Agric. Econ., 2, 188 Stewart, M., 2017. Skirball Fire Update | Los Angeles Fire Department. https://www.lafd.org/news/skirball-fire-update. Strahan, 2017, Factors influencing householder self-evacuation in two Australian bushfires, Thesis Toledo, 2018, Analysis of evacuation behavior in a wildfire event, Intl. J. Disaster Risk Reduction, 31, 1366, 10.1016/j.ijdrr.2018.03.033 Train, 2009 Urata, 2018, People’s risk recognition preceding evacuation and its role in demand modeling and planning, Risk Anal., 38, 889, 10.1111/risa.12931 van Cranenburgh, 2015, New insights on random regret minimization models, Transport. Res. Part A: Policy Practice, 74, 91 Wang, 2017, Evacuation travel behavior in regret minimization or utility maximization rules? Evidence from emergency context, KSCE J. Civ. Eng., 21, 440, 10.1007/s12205-016-0081-9 Whitehead, 2000, Heading for higher ground: factors affecting real and hypothetical hurricane evacuation behavior, Environ. Hazards, 2, 133, 10.1016/S1464-2867(01)00013-4 Wong, 2020, Fleeing from hurricane IRMA: empirical analysis of evacuation behavior using discrete choice theory, Transport. Res. Part D: Transport Environ., 79, 10.1016/j.trd.2020.102227 Wong, S., Shaheen, S., 2019. Current State of the Sharing Economy and Evacuations: Lessons from California. https://escholarship.org/uc/item/16s8d37x. Wong, S., Shaheen, S., Walker, J., 2018. Understanding Evacuee Behavior: A Case Study of Hurricane Irma. https://escholarship.org/uc/item/9370z127. Zeelenberg, 2007, A theory of regret regulation 1.0, J. Consumer Psychol., 17, 3, 10.1207/s15327663jcp1701_3 Zhang, 2004, Risk area accuracy and evacuation from hurricane bret, Nat. Haz. Rev., 5, 115, 10.1061/(ASCE)1527-6988(2004)5:3(115)