Abstract
This article explores the link between jointly agreed rules and the use of ‘big data’ in the action arena sustainably managing flood hazards in the Denver Metropolitan Area (U.S. State of Colorado) since 1969 - a case that has attracted attention in the past being frequently used as a model to develop similar action arenas in urban areas worldwide. The analysis focuses in particular on the influence of financial reporting rules on the use of ‘big data’ to inform capital investment decisions in the months after the catastrophic 2013 Colorado flood which highlighted the weaknesses of the existing drainage system.
Highlights
The expansion of settlements places pressure on draining systems protecting urban inhabitants and businesses from changing weather patterns
The findings suggest that the District, the Board and other participating governmental entities were the key actors within the action arena deciding the budget for the years that followed the 2013 flood
The discussion contributes to the literature on ‘big data’ use in urban flood hazard mitigation in two ways: On the one hand, it highlights the need to identify the working parts of rules and to explore their influence on the use of ’big data’ in specific action arenas
Summary
The expansion of settlements places pressure on draining systems protecting urban inhabitants and businesses from changing weather patterns In light of this development, public, private, voluntary, and other types of actors from multiple administrative levels and issue domains sharing an interest in managing these facilities search for reliable information to identify and prioritize developmental needs (Stead, 2014; Huntjens et al, 2012). In this context, the development of various methodologies and technologies began; to organize insights from multiple sources within one high volume, high velocity, high variety and accessible information asset (Heidrich et al, 2013) - defined as ’big data’ (Gandomi and Haider, 2015; Özköse et al, 2015). Rules determine what information can be considered as reliable (Ostrom and Crawford, 2005). Agrawal (2014) observes that in particular rules facilitating reciprocal communication and the building of trust increase the potential that actors use the information of others
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