Assessing adaptation planning strategies of interconnected infrastructure under sealevel rise by economic analysis

Shuqi Gao , Wei Zhai

Front. Archit. Res. ›› 2023, Vol. 12 ›› Issue (5) : 892 -905.

PDF (1973KB)
Front. Archit. Res. ›› 2023, Vol. 12 ›› Issue (5) : 892 -905. DOI: 10.1016/j.foar.2023.05.006
RESEARCH ARTICLE
RESEARCH ARTICLE

Assessing adaptation planning strategies of interconnected infrastructure under sealevel rise by economic analysis

Author information +
History +
PDF (1973KB)

Abstract

This study assesses the commonly adopted adaptation planning strategies of infrastructures in Northwest Florida (USA) based on economic analysis under different objective years. Specifically, the economic analysis considers both direct and indirect impacts of sea level rise by deploying the interdependence of infrastructures. We demonstrate the difference and significance of considering indirect economic impacts in the process of cost-benefit analysis under sea level rise. Based on the results, we recommend that the most effective strategy is partial protection of land use plus inundated transportation network upgrade, even though the total shoreline protection can make more benefits. Furthermore, we compare the performance of objective planning year from two criteria: total benefits and cost-effectiveness. The result indicates that the year 2080 could be the most economical if it is set as the objective year for the long-term infrastructure planning. The result also highlights that the economic analysis of infrastructure should be conducted over time since the total costs are distributed over many years. It is not to say that the farther the year is, the more effectiveness the strategy would be, although the total benefits would be greater.

Keywords

Adaption planning strategies / Climate change / Sea-level rise / Infrastructure / Economic analysis

Cite this article

Download citation ▾
Shuqi Gao, Wei Zhai. Assessing adaptation planning strategies of interconnected infrastructure under sealevel rise by economic analysis. Front. Archit. Res., 2023, 12(5): 892-905 DOI:10.1016/j.foar.2023.05.006

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

2023 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.

AI Summary AI Mindmap
PDF (1973KB)

429

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/