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作者

Camilla Pezzica;Valerio Cutini;Clarice Bleil de Souza;Davide Aloini

来源

CITIES,Vol.131,Issue1,Article 104053

语言

英文

关键字

Strategic planning;Urban planning;Emergency management;Business process modelling;Temporary housing;Post-disaster recovery

作者单位

Welsh School of Architecture, Cardiff University, Bute building, King Edward VII Avenue, CF10 3NB Cardiff, UK;Department of Energy, Systems Territory and Construction Engineering (DESTeC), University of Pisa, Largo Lucio Lazzarino 56122, Italy;Welsh School of Architecture, Cardiff University, Bute building, King Edward VII Avenue, CF10 3NB Cardiff, UK;Department of Energy, Systems Territory and Construction Engineering (DESTeC), University of Pisa, Largo Lucio Lazzarino 56122, Italy

摘要

The interest of scholars in the temporal dimension of post-disaster housing has grown in the past decade, but the analytic focus has primarily been around the design and delivery of more sustainable Temporary Housing solutions. However, addressing temporality and promoting Building Back Better in disaster recovery and reconstruction also requires a better understanding of the regulatory and organisational process which produces the post-disaster transitional city. Since strategic planning grows in popularity as a Disaster Risk Reduction (DRR) paradigm, an analysis of its application and outcomes helps capture lessons to inform future housing assistance practices. To this end, the paper reconstructs and analyses the Central Italy temporary housing supply and delivery process. It combines a meta-analysis of published documents and business process modelling to uncover links between policy, society, and space. The results suggest that gaps in strategic planning (related to multi-level governance, process and resource management) are significant explanatory factors for the technical and social clashes highlighted by the analysis. It is emphasised the importance to produce well-informed strategic plans to achieve DRR goals and the potential benefit of adopting the proposed approach to this end, leveraging its capacity to model and simulate the temporary housing supply and delivery process.