Progression of hurricane evacuation-related dynamic decision-making with information processing

被引:11
作者
Verma, Rajat [1 ]
Shen, Jiayun [2 ]
Benedict, Bailey C. [3 ]
Murray-Tuite, Pamela [2 ]
Lee, Seungyoon [4 ]
Ge, Yue 'Gurt' [5 ]
Ukkusuri, Satish V. [1 ]
机构
[1] Purdue Univ, Lyles Sch Civil Engn, 550 Stadium Ave, W Lafayette, IN 47907 USA
[2] Clemson Univ, Glenn Dept Civil Engn, S Palmetto Blvd, Clemson, SC 29631 USA
[3] Calif State Univ San Bernardino, Jack H Brown Coll Business & Publ Adm, 5500 Univ Pkwy, San Bernardino, CA 92407 USA
[4] Purdue Univ, Brian Lamb Sch Commun, 100 N Univ St, W Lafayette, IN 47907 USA
[5] Univ Cent Florida, Sch Publ Adm, 528 Livingston St,Ste 446, Orlando, FL 32801 USA
基金
美国国家科学基金会;
关键词
Hurricane; Evacuation; Information processing; Certainty; Process tracing; Dynamic decision making; RISK PERCEPTION; MODEL; EXPECTATIONS; DISASTER; TIME; COMPLEXITY; ATTITUDES; WARNINGS; SURVIVAL; SEEKING;
D O I
10.1016/j.trd.2022.103323
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Conventional evacuation studies typically do not gauge the development of participants' certainty about evacuation-related decisions with the updates in the information provided to them. This study uses an online survey that provides three kinds of progressively varied information about the current status of a hypothetical hurricane for five days leading to its landfall and collects respondents' certainty of their situational comprehension and evacuation-related decisions each day. Most participants (84%) made a final decision (60% evacuate) after seeing information of just one day (four days before the landfall), indicating a tendency of swift decision-making. Modeling shows that the time spent looking at information, especially uncertainty cone fore-cast maps, positively influences the understanding of the hurricane's status, which in turn helps in increasing the certainty of making evacuation-related decisions, with an increasing temporal effect. This study contributes to the understanding of the public perception of information and its association with evacuation-related decision-making.
引用
收藏
页数:16
相关论文
共 67 条
[1]  
Alawadi R.J. M., 2019, Modeling of household evacuation decision, departure timing, and number of evacuating vehicles from Hurricane Matthew
[2]   Baseline C-Reactive Protein Is Associated With Incident Cancer and Survival in Patients With Cancer [J].
Allin, Kristine H. ;
Bojesen, Stig E. ;
Nordestgaard, Borge G. .
JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (13) :2217-2224
[3]   Review of procedures associated with devising emergency evacuation plans [J].
Alsnih, R ;
Stopher, PR .
HIGHWAY SAFETY: OLDER PERSON; TRAFFIC LAW ENFORCEMENT; MANAGEMENT AND TRUCKING, 2004, (1865) :89-97
[4]  
[Anonymous], 1982, SIGART Newsl.
[5]  
[Anonymous], 2000, Nat. Hazards Rev., DOI [DOI 10.1061/(ASCE)1527-6988(2000)1:2(119, DOI 10.1061/(ASCE)1527-6988(2000)1:2(119)]
[6]   Risk area accuracy and hurricane evacuation expectations of coastal residents [J].
Arlikatti, S ;
Lindell, MK ;
Prater, CS ;
Zhang, Y .
ENVIRONMENT AND BEHAVIOR, 2006, 38 (02) :226-247
[7]  
BAKER EJ, 1979, MASS EMERGENCIES, V4, P9
[8]   Theoretical tools for understanding and aiding dynamic decision making [J].
Busemeyer, Jerome R. ;
Pleskac, Timothy J. .
JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2009, 53 (03) :126-138
[9]   Predicting information seeking regarding hurricane evacuation in the destination [J].
Cahyanto, Ignatius ;
Pennington-Gray, Lori ;
Thapa, Brijesh ;
Srinivasan, Siva ;
Villegas, Jorge ;
Matyas, Corene ;
Kiousis, Spiro .
TOURISM MANAGEMENT, 2016, 52 :264-275
[10]  
Case D O., 2016, Studies in Information, DOI DOI 10.1108/S2055-53772016