Natural hazards kill 82,500 people globally in a typical year, with earthquakes as the largest cause of death amongst all natural hazards in Central and Southern America, East Asia, Europe, and the Near East. Damages are highest in middle-income countries due to lack of resources for hazard prevention and mitigation. Dancing to the Desert concentrates on Bam, Iran, as a typical post earthquake city, searching for architecture appropriate for post-disaster cities of hot-arid climates. Dancing to the Desert is a discourse on current seismic, urban, and architectural design conditions in hot-arid climates of the globe, and searches for an appropriate architecture for post-disaster cities in developing regions of the desert climate.
Chapter One includes analysis on global seismic hazard conditions, focusing on the hot-arid climates in the world and concentrating on the city of Bam, Iran.
Chapter Two includes a detailed analysis of the traditional as well as contemporary architecture of Bam, searching for appropriate architectural elements to use in the proposed architecture.
Chapter Three proposes a Pilot Project for an orphanage in Bam, based on the architectural elements and strategies discussed in Chapter Two. Through scientific research, case studies, a site visit to Bam, and discussions with local residents, this thesis finds an appropriate proposal adaptable to all post-disaster cities of the hot-arid climate. It also suggests various strategies for disaster prevention and mitigation through public education. These strategies educate the public in employing cultural and environmental friendly resilient architecture, which will subsequently reduce damage and fatalities on brisk of disaster. It also familiarizes the public with the proposed disaster prevention and mitigation strategies and facilitates the adoption of the proposed design in future post-disaster conditions.
| Identifer | oai:union.ndltd.org:WATERLOO/oai:uwspace.uwaterloo.ca:10012/6504 |
| Date | January 2011 |
| Creators | Nejad, Sara Khakbaz |
| Source Sets | University of Waterloo Electronic Theses Repository |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
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