.png){kind=icon}
Return
Preference Functions for Spatial Risk Analysis
.png){kind=icon}
OA
AI
DOI：10.1111/risa.12892.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
When outcomes are defined over a geographic region, measures of spatial risk regarding these outcomes can be more complex than traditional measures of risk. One of the main challenges is the need for a cardinal preference function that incorporates the spatial nature of the outcomes. We explore preference conditions that will yield the existence of spatial measurable value and utility functions, and discuss their application to spatial risk analysis. We also present a simple example on household freshwater usage across regions to demonstrate how such functions can be assessed and applied.
Keywords:
Measurable value
preferences
spatial risk analysis
utility
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.3
Papers:
5.6K
Citations:
1.2W
Organization
Cited Papers
Local Spatial and Temporal Factors Influencing Population and Societal Vulnerability to Natural Disasters.png)
RISK ANALYSIS
RISK ANALYSISIF3.3
PREAI
ShareSaveShareSave
ShareSave
View more