Modeling the future disaster risk of cities to envision paths towards their future resilience

Placeholder Show Content

Abstract/Contents

Abstract
Key to making informed policy decisions to promote resilient and sustainable future cities is the ability to predict their risk as it relates to dynamic changes in our urban environments, reflecting increases in population, specific urban growth patterns and evolving vulnerability. Yet current seismic risk assessment practice characterizes the components of risk (hazard, exposure and vulnerability) in a static state. In this thesis, a framework for modeling urban risk is described, accounting for the spatial and temporal variations in exposure and vulnerability in order to develop trajectories of future risk. The framework makes use of an integrated cellular automata and time-inhomogeneous Markov chain simulation to model urban expansion (new buildings) as well as urban densification (through incremental building expansion). Novel methods for modeling the fragility of buildings will also be presented. Based on several case studies, the results show a significant growth in urban seismic risk over time, which increases much faster still than population. The results underline the importance of time-dependent risk models that can forecast future risk, so that proactive policy can be implemented to ensure a more resilient urban future.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Lallemant, David
Associated with Stanford University, Department of Civil and Environmental Engineering.
Primary advisor Kiremidjian, Anne S. (Anne Setian)
Thesis advisor Kiremidjian, Anne S. (Anne Setian)
Thesis advisor Baker, Jack W
Thesis advisor Deierlein, Gregory G. (Gregory Gerard), 1959-
Advisor Baker, Jack W
Advisor Deierlein, Gregory G. (Gregory Gerard), 1959-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility David Lallemant.
Note Submitted to the Department of Civil and Environmental Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by David Charles, Bonaventure Lallemant
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

Loading usage metrics...