Modelling economic risk to sea‐level rise and storms at the coastal margin

Author:

Eaves Ashton1ORCID,Kench Paul2,McDonald Garry3,Dickson Mark1,Storey Belinda4

Affiliation:

1. School of Environment University of Auckland Auckland New Zealand

2. Dean of Science Simon Frazer University Burnaby British Columbia Canada

3. Market Economics Auckland New Zealand

4. School of Economics and Finance University of Victoria Wellington New Zealand

Abstract

AbstractWe develop a methodological approach through integrated assessment using System Dynamics modelling and Scenario Planning to investigate the economic vulnerability of coastal communities to the compounding impacts of sea‐level rise (SLR) and storm flooding and inundation associated with climate change. The approach uses a coastal flood risk assessment that quantifies physical drivers alongside socio‐economic well‐being for coastal communities to provide a methodology for managing uncertain futures through causal relationships in System Dynamics. A New Zealand case study is used to illustrate the long‐term economic impacts of inaction under different SLR projections and recognise critical tolerance thresholds to help exposed property owners plan their future. Modelling scenarios using this integrated approach identified two stand‐out drivers that influence a behavioural response of communities to coastal inundation at the local scale: first, the ongoing likelihood of risk transfer to the insurance industry, and second, the decisions of households and firms to accept risk for the added value of coastal living. Model outputs suggest that the threat posed by coastal hazards drives a behavioural, socio‐economic response that exceeds the initial economic exposure of capital assets. In the economic short term (1–10 years) and medium term (10–20 years), vulnerable communities accept the risk of capital loss and loss of insurability, favouring the amenity of coastal living. However, in the long term (+20 years), economic losses from repeat flooding increase risk‐based insurance premiums, promote insurance withdrawal and drive negative corrections in property valuations. Unanticipated insights were obtained from the modelling, including the likely timing of tolerance thresholds, particularly the insurance withdrawal point, which is critical to insurer/consumer decision‐making and community planning.

Funder

Ministry for Business Innovation and Employment

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

Reference82 articles.

1. Auckland Council. (2014).Natural hazard risk communication toolbox: Natural Hazard risk management action plan.https://www.civildefence.govt.nz/assets/Uploads/NHRCToolbox/NHRCToolbox‐Auckland‐Council.pdf

2. Formal aspects of model validity and validation in system dynamics

3. Incorporating climate change and morphological uncertainty into coastal change hazard assessments

4. Beavan R. &Litchfield N.(2012).Vertical land movement around the New Zealand coastline: Implications for sea‐level rise.www.gns.cri.nz/static/pubs/2012/SR%202012-029.pdf

5. Disaster on the horizon: The price effect of sea level rise

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. For whom and by whom is glaciology?;Journal of Glaciology;2024-03-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3