Flood resilience of coastal communities in Jakarta - Indonesia

Flood resilience of coastal communities in Jakarta - Indonesia: An exploratory agent-based study on emergence of flood adaptation and migration behaviour under various socio-environmental policy conditions

Merceij, Puck (TU Delft Technology, Policy and Management)

Filatova, T. (mentor)
van der Voort, H.G. (graduation committee)

Delft University of Technology

Engineering and Policy Analysis

Master Thesis

2022-10-31

Climate change is happening and has an increasingly great impact on nature, ecosystems, biodiversity and human society. To reduce adverse consequences of hazards for current and future generations, one must understand how adaptation behavior of civil societies could develop itself over time, interact with its environment and effect its ecosystem. As the emergence of adaptation behavior is complex, differs locally and is influenced by lots of cultural, socio, environment and political factors, there are a lot of missing places on which more research on the emergence of adaptation behavior of civil societies can be done. This EPA master thesis will study is the emergence of adaptation behavior on a case-study about flood adaptation behavior in Jakarta. A modeling approach will be used to analyze the cumulative impact of autonomous bottom-up household adaptation decisions according to the Protection Motivation Theory on the overall flood resilience of Jakarta. The model will be used to explore the effect of policy interventions on household adaptation decisions, to ultimately give an advice on how to achieve a more resilient flood response. The results of this study aim to provide a better understanding on human behavior and its interactions within Jakarta’s environmentally complex situation, what could be of help for the government of Jakarta in the development of long-term flood adaptation strategies.

Household adaptation
Flooding
Jakarta
Protection Motivation Theory
Agent-based modeling

http://resolver.tudelft.nl/uuid:f990d67d-e47a-43e1-8475-3224c7f237f1

Student theses

master thesis

© 2022 Puck Merceij