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Externalities in the wildland–urban interface: Private decisions, collective action, and results from wildfire simulation models for California by Howard Kunreuther; Artem Demidov; Mark Pauly; Matija Turcic; Michael Wilson is a Social Sciences article available to read on EtoBox.
What is Externalities in the wildland–urban interface: Private decisions, collective action, and results from wildfire simulation models for California about?
Property damage from wildfires occurs from spread into built-up areas, the wildlandurban interface. Fire spread occurs as embers from one burning structure ignite neighboring ones-but mitigation reduces the chances that fire spreads. In this study, we use a simulation model with realistic parameters for a neighborhood in California to illustrate patterns of marginal benefit from mitigation. We extend existing models of fire spread in two novel ways. We show how to describe the no-regulation equilibrium and social optimal levels of mitigation by incorporating data on a key factor, the distribution of house values in the community. We incorporate insurance in the model and show that it improves homeowner decision-making and insurance premium regulation. The fire spread simulations show that under plausible parameter values, there is a pattern in which mitigation's marginal benefit is low at low levels of community mitigation, rises to a maximum, and then falls quickly to a low level. We argue that the maximum marginal benefit is a guide to achieving optimal mitigation in a community. Owner mitigation decisions will depend on the distribution of house values in the neighborhood and ot
Who reads Externalities in the wildland–urban interface: Private decisions, collective action, and results from wildfire simulation models for California?
It is typically read by researchers, students, and practitioners in Social Sciences.
- Author
- Howard Kunreuther; Artem Demidov; Mark Pauly; Matija Turcic; Michael Wilson
- Publisher
- Wiley
- Published
- 2023
- Language
- EN
- Field
- Social Sciences
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