Abstract

As Decision Making under Deep Uncertainty methodologies are becoming more widely utilised, there has been a growth in the use and generation of Adaptation Pathways. These are meant to convey to policy makers how short-term adaptations can act as elements of longer-term adaptation strategies. However, sets of Adaptation Pathways do not convey the individual pathway’s relative costs and benefits. To address this problem in relation to urban pluvial flooding, an economic analysis of a set of Adaptation Pathways was conducted. Initially, a methodology to conduct an economic assessment for deterministic climate change scenarios is developed. This methodology is then modified, using methods that underpin real options to assess how a pathway performs across a bundle of possible futures. This delivered information on how the performance of adaptations can vary across different climate change scenarios. By comparing the deterministic analysis to the new method, it was found that the order in which options are implemented greatly affects the financial performance of an Adaptation Pathway, even if the final combination of options is identical. The presented methodology has the potential to greatly improve decision making by informing policy makers on the potential performance of adaptation strategies being considered.

Highlights

  • IntroductionCities are implementing climate change adaptation strategies

  • Across the globe, cities are implementing climate change adaptation strategies

  • This scenario provides a baseline against which the evaluations under uncertainty can be compared

Read more

Summary

Introduction

Cities are implementing climate change adaptation strategies These strategies aim to defend communities from the potential risks of climate change in relation to multiple factors including increased heat stress [1], sea-level rise [2], and flood risk [3]. The development of these adaptation strategies is hampered by the presence of multiple interacting uncertainties; these obfuscate future conditions and the degree to which infrastructure systems need to be adapted. These techniques utilise exploratory modeling to define the space of future possibilities and examine how potential strategies will perform within these hypothetical futures

Objectives
Methods
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.