Climate resilience in Paris: A network representation of online strategic documents released by public authorities

Abstract

This study proposes to exploit recent advances in data mining techniques to examine the strategies published on the Internet by public authorities and implemented in Paris. We first conducted a qualitative review of strategic documents, released over 15 years. We then used a list of key terms concerning flood risk management to compute a semantic network and identify clusters of terms that tend to appear in similar contexts. The analysis reveals an evolution of how policy and decision-making processes are depicted on the Web. The proposed methodology can be reproduced in other cities facing climate risks. Keywords: Urban resilience, Climate risks, Network representation