Tragedy of the Commons?

Tragedy of the Commons?: Local Adaptation to mitigate and adapt to the impacts of sea level rise in San Francisco Bay Area.

Dewan, Rahul (TU Delft Architecture and the Built Environment; TU Delft Urbanism)

Sepulveda Carmona, Diego Andres (mentor)
Kuzniecow Bacchin, Taneha (mentor)

Delft University of Technology

Architecture, Urbanism and Building Sciences

2017-07-04

Rapid urbanization triggers in short term or long term highly advanced economy but at the same time create sectors of poor/neglected neighborhoods or communities in our urban environment that faces the hardest challenge to response and recover in the face of climate change variables. The administrative responses to a climate disaster are sectoral and the impact is felt in multitude of social, economic and environmental scales. ‘Tragedy of the Commons?’ is a narration that stems from a research that questions the role of risk governance response and its consequent spatial manifestation of the built environment in San Francisco Bay Area in response to climate change disaster (in this case sea level rise)

The project proposes the need for local adaptation by considering the specific needs of the local local communities and integrating it into the larger flood protection and development strategy. This research refers to the theoretical knowledge of Dynamic Adaptive Pathways in response to an uncertain sea level rise and flooding in the future. Therefore in an era of climate uncertainty how spatial strategies that are evolutionary and progressive in nature, considering the particular demands of the local communities, can adapt to the power of water in order to mitigate the impact on the most vulnerable communities of the built environment. The project focuses on both temporal and spatial scales in the spatial translation of the adaptive pathway system.

socio-economic vulnerability
socio-economic expulsion
local adaptation
adaptive pathways

http://resolver.tudelft.nl/uuid:3646f1bf-ffb8-4e93-8dfb-2b97f379b7c7

37.4688, 122.1411

Student theses

master thesis

© 2017 Rahul Dewan