Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Integrating spatial planning and flood risk management: a new conceptual framework for the spatially integrated policy infrastructure

Ran, Jing and Nedovic-Budic, Zorica 2016. Integrating spatial planning and flood risk management: a new conceptual framework for the spatially integrated policy infrastructure. Computers, Environment and Urban Systems 57 , pp. 68-79. 10.1016/j.compenvurbsys.2016.01.008

Full text not available from this repository.

Abstract

Flooding is a widely occurring natural hazard that noticeably damages property, people, and the environment. In the context of climate change, the integration of spatial planning with flood-risk management has gained prominence as an approach to mitigating the risks of flooding. The absence of easy access to integrated and high-quality information, and the technologies and tools to use information are among the factors that impede this integration. Limited research has been conducted to develop a framework and to investigate the role of information and technologies in this integration. This study draws primarily on the European experiences and literature and identifies three dimensions of the integration of spatial planning with flood-risk management: territorial, policy, and institutional. To facilitate integration and in accord with these three dimensions, a Spatially Integrated Policy Infrastructure (SIPI) is conceptualised that encompasses data and information, decision support and analysis tools, and access tools and protocols. This study presents the connections between SIPI elements and integration dimensions, which is important for a better understanding of roles of geographic information and technologies in integration. The conceptual framework of SIPI will govern further development and evaluation of SIPI.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Ocean Sciences
Publisher: Elsevier
ISSN: 0198-9715
Date of Acceptance: 31 January 2016
Last Modified: 13 May 2019 15:18
URI: http://orca.cf.ac.uk/id/eprint/109945

Citation Data

Cited 32 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item