Geographic scale and probabilistic forecasts: a trade-off for protective decisions?

被引:8
作者
Shivers-Williams, Cassandra A. [1 ,2 ]
Klockow-McClain, Kimberly E. [1 ,2 ]
机构
[1] Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA
[2] NOAA, Natl Severe Storms Lab, Norman, OK 73069 USA
基金
美国海洋和大气管理局;
关键词
Geographic scale; Forecast uncertainty; Protective decisions; Forecast presentation format; BYSTANDER INTERVENTION; UNCERTAINTY; INFORMATION;
D O I
10.1007/s11069-020-04400-2
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This pilot study aimed to examine the impact of varying geographic scales, probabilities of tornado occurrence, and presentation formats within severe weather forecasts on individuals' protective decisions. This pilot was unique in its specific examination of the trade-off between highly localized geography and higher valued probabilistic threat information in weather-related decision making. This pilot utilized a 4 (geographic scale) x 12 (probability) x 3 (forecast presentation format) mixed, nested experimental design. Participants were 440 US adults who completed electronic questionnaires containing experimentally manipulated severe weather forecasts. A linear mixed model analysis revealed several findings. First, participants who saw only categorical forecasts made similar preparatory decisions across geographic scales. Additionally, they were more willing to take preparatory action as categorical risk increased. Second, when probabilities were presented, the propensity to take protective action was greater at higher probabilities and at larger geographic scales, affirming the regional geographic reference class selected by the Storm Prediction Center in today's outlook system. Third, individuals' propensity for action generally increased as scale and probability increased, but the pattern varied across presentation formats. Lastly, participants reported having a map to look at was moderately important to their decisions and having probabilistic and categorical risk information was highly important to their decisions. Taken together, the findings suggest a complex relationship between geographic scale and probability, which is further complicated by forecast presentation format.
引用
收藏
页码:2283 / 2306
页数:24
相关论文
共 35 条
[1]  
Aguirre B.E., 1991, Saragosa, Texas, Tornado, May 22, 1987: An Evaluation of the Warning System
[2]  
[Anonymous], 2019, 2018 population estimates by age, Sex, race and Hispanic Origin
[3]   Explicit Versus Actionable Knowledge: The Influence of Explaining Graphical Conventions on Interpretation of Hurricane Forecast Visualizations [J].
Boone, Alexander P. ;
Gunalp, Peri ;
Hegarty, Mary .
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2018, 24 (03) :275-295
[4]   BYSTANDER INTERVENTION IN EMERGENCIES - DIFFUSION OF RESPONSIBILITY [J].
DARLEY, JM ;
LATANE, B .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1968, 8 (4P1) :377-&
[5]  
Gibson-Graham J.K., 2002, GEOGRAPHIES POWER PL, DOI [10.1002/9780470773406.ch1, DOI 10.1002/9780470773406.CH1]
[6]   A 30% chance of rain tomorrow: How does the public understand probabilistic weather forecasts? [J].
Gigerenzer, G ;
Hertwig, R ;
van den Broek, E ;
Fasolo, B ;
Katsikopoulos, KV .
RISK ANALYSIS, 2005, 25 (03) :623-629
[7]   Communicating Weather Forecast Uncertainty: Do Individual Differences Matter? [J].
Grounds, Margaret A. ;
Joslyn, Susan L. .
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2018, 24 (01) :18-33
[8]   Probabilistic Interval Forecasts: An Individual Differences Approach to Understanding Forecast Communication [J].
Grounds, Margaret A. ;
Joslyn, Susan ;
Otsuka, Kyoko .
ADVANCES IN METEOROLOGY, 2017, 2017
[9]   Explaining the ''identifiable victim effect'' [J].
Jenni, KE ;
Loewenstein, G .
JOURNAL OF RISK AND UNCERTAINTY, 1997, 14 (03) :235-257
[10]  
Johnson N. J., 2013, THESIS