E3S Web Conf.
Volume 7, 20163rd European Conference on Flood Risk Management (FLOODrisk 2016)
|Number of page(s)||10|
|Section||Adaptation to long term change|
|Published online||20 October 2016|
Flood resilience in the context of shifting patterns of risk, complexity and governance: An exploratory case study
Management School, University of Sheffield, S10 1FL, United Kingdom
a Corresponding author: firstname.lastname@example.org
This paper presents a case study of an industrial locale in the United Kingdom which has come together in an innovative governance structure to respond to the risk of flooding. Public and private sector bodies have joined together to establish a ‘business improvement district’ (BID), the sole purpose of which is to build resilience to future flooding events. More specifically, we examine the effectiveness of this strategy as a mechanism for capacity building within the small and medium sized enterprise sector. This is an important area of study as small and medium sized enterprises (SMEs) are particularly vulnerable to the negative impacts of a flood event, as they possess fewer resources than their larger counterparts leaving them with less capacity and organisational slack to respond to a major disruption. Drawing upon primary and secondary data, we identify both institutional barriers and enablers to the development of novel responses to flooding.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.