Cloudburst emergency planning in urban areas - Increasing the resilience and limiting the vulnerability of urban areas by developing a theoretical framework for cloudburst emergency planning and by giving recommendations for cloudburst emergency planning in urban areas
Author
de Graaf, Jody
Term
4. term
Education
Publication year
2016
Submitted on
2016-06-01
Pages
92
Abstract
Skybrud—kortvarige, meget kraftige regnskyl—sker oftere i takt med klimaændringerne. Det øger risikoen for skader i byerne. Specialet undersøger, hvordan byer kan planlægge for sådanne nødsituationer for at styrke resiliens—evnen til at modstå og komme sig—og reducere sårbarhed—risikoen for at blive ramt—i konkrete, lokale sammenhænge. Studiet fokuserer på fire nøgleforudsætninger for effektiv planlægning: god information, delt viden, tydelig organisering og stærkt samarbejde. For at forstå, hvad der virker i praksis, kombineres en litteraturgennemgang med casestudier af Amsterdam og Rotterdam, hvor der ses på, hvordan disse byer forbereder sig på og håndterer skybrud. På baggrund af dette udvikles en teoretisk ramme for beredskabsplanlægning ved skybrud, og der gives anbefalinger, som byer kan bruge i deres planlægning.
Sudden, very heavy rainstorms (cloudbursts) are becoming more frequent as the climate changes, increasing risks for cities. This thesis asks how cities can plan for such emergencies to strengthen resilience—the ability to withstand and recover—and reduce vulnerability—the likelihood of being harmed—in specific local contexts. The study focuses on four enablers of effective planning: good information, shared knowledge, clear organization, and strong collaboration. To see what works in practice, it combines a review of existing research with case studies of Amsterdam and Rotterdam, examining how these cities prepare for and manage cloudburst events. Based on these insights, the thesis develops a theoretical framework to guide cloudburst emergency planning and offers recommendations that urban areas can use when designing or improving their plans.
[This abstract was generated with the help of AI]
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