Full metadata
Title
Advanced scenario analysis: tools for enhancing social resiliency : evaluating advanced scenario analysis in regional growth visioning
Description
The uncertainty of change inherent in issues such as climate change and regional growth has created a significant challenge for public decision makers trying to decide what adaptation actions are needed to respond to these possible changes. This challenge threatens the resiliency and thus the long term sustainability of our social-ecological systems. Using an empirical embedded case study approach to explore the application of advanced scenario analysis methods to regional growth visioning projects in two regions, this dissertation provides empirical evidence that for issues with high uncertainty, advanced scenario planning (ASP) methods are effective tools for helping decision makers to anticipate and prepare to adapt to change.
Date Created
2011
Contributors
- Quay, Ray (Author)
- Pijawka, David (Thesis advisor)
- Shangraw, Ralph (Committee member)
- Holway, James (Committee member)
- Arizona State University (Publisher)
Topical Subject
- urban planning
- Sustainability
- public policy
- Analysis
- Foresight
- planning
- Regional
- Scenarios
- uncertainty
- Regional planning--Arizona--Forecasting.
- Regional planning
- Regional planning--Texas--Forecasting.
- Regional planning
- Public administration--Arizona--Decision making--Evaluation.
- Public Administration
- Public administration--Texas--Decision making--Evaluation.
- Public Administration
Resource Type
Extent
xii, 207 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.14367
Statement of Responsibility
by Ray Quay
Description Source
Viewed on Dec. 8, 2014
Level of coding
full
Note
thesis
Partial requirement for: Ph. D., Arizona State University, 2011
bibliography
Includes bibliographical references (p. 142-161)
Field of study: Environmental design and planning
System Created
- 2012-08-24 06:10:32
System Modified
- 2021-08-30 01:49:49
- 3 years 2 months ago
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