1.

Record Nr.

UNINA9910878067603321

Autore

Mannucci Simona

Titolo

Climate Adaptation in Urban Planning : Toward Sustainable and Resilient Urban Environments / / by Simona Mannucci

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

9789819741069

9789819741052

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (95 pages)

Collana

SpringerBriefs in Architectural Design and Technology, , 2199-5818

Disciplina

307.76

Soggetti

Buildings - Design and construction

Climatology

Landscape architecture

Urban policy

Building Construction and Design

Climate Sciences

Landscape Architecture

Urban Policy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Introduction -- 2. Framing the current practices -- 3. Supporting Decision-making under uncertainty -- 4. Case study description -- 5. Concluding Remarks and Future Outlook.

Sommario/riassunto

This book provides an overview of the current planning paradigms and technical strategies to cope with climate change, specifically flooding. Architecture and planning face the challenging task of designing the built environment while addressing complex issues in urban areas. Factors such as climate change, societal and economic issues and population growth can significantly impact the success of a plan. In order to plan for the future, adaptation and flexibility have become crucial. However, the traditional deterministic approach in planning allows no room for failure, expecting plans and projects to achieve desired objectives regardless of how the future unfolds. It also explores new planning paradigms, methods, and tools from other disciplines



that can be integrated into urban planning to achieve long-term, flexible adaptation in the face of uncertain conditions (Decision Making Under Deep Uncertainty—DMDU). Additionally, a case study is presented, focusing on addressing uncertainties in a flood-prone area in Rome through scenario planning, combining various cutting-edge model-based methodologies drawn from DMDU. The target audiences are researchers and practitioners in architecture and urban planning.