Discounting under Severe Weather Threat

被引:0
|
作者
Cox, David J. [1 ,4 ]
Losee, Joy E. [2 ,3 ]
Webster, Gregory D. [3 ]
机构
[1] Johns Hopkins Univ, Sch Med, Dept Psychiat & Behav Sci, Baltimore, MD 21205 USA
[2] Univ Dayton, Dept Psychol, Dayton, OH 45469 USA
[3] Univ Florida, Dept Psychol, Gainesville, FL 32611 USA
[4] Endicott Coll, Inst Appl Behav Sci, Beverly, MA 01915 USA
基金
美国国家科学基金会;
关键词
Atmosphere; Ocean; Social Science; Flood events; Hurricanes/typhoons; Storm surges; Uncertainty; Risk assessment; FORECAST UNCERTAINTY; HYPOTHETICAL MONEY; DELAY; PROBABILITY; REWARDS; RISK; DECISION; ALCOHOL; MONETARY; LOSSES;
D O I
10.1175/WCAS-D-20-0178.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The human and economic costs of severe weather damage can be mitigated by appropriate preparation. Despite the benefits, researchers have only begun to examine if known decision-making frameworks apply to severe weather-related decisions. Using experiments, we found that a hyperbolic discounting function accurately described participant decisions to prepare for, and respond to, severe weather, although only delays of 1 month or longer significantly changed decisions to evacuate, suggesting that severe weather that is not imminent does not affect evacuation decisions. In contrast, the probability that a storm would impact the participant influenced evacuation and resource allocation decisions. To influence people's evacuation decisions, weather forecasters and community planners should focus on disseminating probabilistic information when focusing on short-term weather threats (e.g., hurricanes); delay information appears to affect people's evacuation decision only for longer-term threats, which may hold promise for climate change warnings.
引用
收藏
页码:65 / 79
页数:15
相关论文
共 50 条
  • [31] An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis
    Shafer, Chad M.
    Mercer, Andrew E.
    Richman, Michael B.
    Leslie, Lance M.
    Doswell, Charles A., III
    WEATHER AND FORECASTING, 2012, 27 (04) : 809 - 831
  • [32] Pre-flight rerouting combining A* algorithm and AHP under severe weather
    Ding Wencan
    Sui Dong
    2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [33] ANALYSIS OF INDICES FOR SEVERE CONVECTIVE WEATHER UNDER THE INFLUENCE OF TROPICAL CYCLONES IN JIANGSU
    Yang Cheng
    Song Jin-jie
    Wang Yuan
    Zeng Ming-jian
    JOURNAL OF TROPICAL METEOROLOGY, 2014, 20 (04) : 368 - 375
  • [34] ANALYSIS OF INDICES FOR SEVERE CONVECTIVE WEATHER UNDER THE INFLUENCE OF TROPICAL CYCLONES IN JIANGSU
    杨程
    宋金杰
    王元
    曾明剑
    Journal of Tropical Meteorology, 2014, 20 (04) : 368 - 375
  • [35] Repair optimization strategy for air route networks under severe weather conditions
    Sui D.
    Xing Y.
    Tu S.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2021, 42 (02):
  • [36] Effects of Corona Discharges on Silicone Rubber Samples under Severe Weather Conditions
    Hakami, Mohammad
    El-Hag, Ayman
    Jayaram, Shesha
    2021 IEEE ELECTRICAL INSULATION CONFERENCE (EIC), 2021, : 486 - 489
  • [37] Under threat
    Nature, 2013, 501 : 135 - 136
  • [38] UNDER THREAT
    NOWLAN, D
    IRISH MEDICAL JOURNAL, 1983, 76 (04) : 165 - 165
  • [39] UNDER THREAT
    PRESLAND, E
    NEW STATESMAN & SOCIETY, 1992, 5 (205): : 27 - 27
  • [40] Under threat
    Li, Gege
    NEW SCIENTIST, 2020, 245 (3285) : 28 - 29