Planning to adapt: identifying key decision drivers in disaster response planning

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
Informa UK Limited
Journal Title
Journal ISSN
Volume Title
Language
en
Date
2021
Authors
Brown, Charlotte
Hayes , Josh L.
Milke, Mark
Abstract

Traditional disaster response plans are struggling to adapt to the increasingly complex, unique, and uncertain disaster impacts. Decision-making under deep uncertainty suggests the consideration of decision trigger points and adaptive processes to develop plans that are flexible for any oncoming challenge. Two disaster response planning situations are examined here: disaster waste management, and volcanic eruption clean-up. Both of these are examined in terms of how we can use adaptive processes to develop flexible plans oriented around key decision drivers. The indicators developed show that orienting plans around both hazard-centric drivers (level of earthquake shaking, ashfall depth) and impact-oriented descriptors (number of displaced people, hazard of waste) offer several benefits. Coupling the development of impact-oriented descriptors with scenario discovery and scenario planning will help disaster planners to identify key decisions, decision criteria and triggers that can be built into the planning process.

Description
Citation
Brown CO, Hayes JL, Milke MW (2021). Planning to adapt: identifying key decision drivers in disaster response planning. Civil Engineering and Environmental Systems. 38(1). 20-35.
Keywords
decision making under deep uncertainty, extreme events, disaster waste management, volcanic eruption clean-up
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
35 - Commerce, management, tourism and services::3507 - Strategy, management and organisational behaviour::350703 - Disaster and emergency management
40 - Engineering::4011 - Environmental engineering::401104 - Health and ecological risk assessment
Rights
All rights reserved unless otherwise stated