Asadzadeh, Asad: Conceptualizing the concept of disaster resilience: a hybrid approach in the context of earthquake hazard : case study of Tehran City , Iran. - Bonn, 2017. - , . In: Schriftenreihe / Institut für Geodäsie und Geoinformation, 56.
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author = {{Asad Asadzadeh}},
title = {Conceptualizing the concept of disaster resilience: a hybrid approach in the context of earthquake hazard : case study of Tehran City , Iran},
school = {},
year = 2017,
series = {Schriftenreihe / Institut für Geodäsie und Geoinformation},
volume = 56,
note = {From the natural perspective, disaster resilience is defined as the ability of a system or community to resist, mitigate, respond, and recover from the effects of hazards in efficient and timely manner. How urban communities recover subsequent a disaster event is often conceptualized in terms of their disaster resilience level. While numerous studies have been carried out on the importance of disaster resilience measurement, a few of them suggest how and by which mechanism the concept can be quantified. Thus, the primary purpose of this thesis is to advance our understanding of the multifaceted nature of disaster resilience and answer to the general question of how the concept of disaster resilience can be operationalized in the context of earthquake hazard.
The starting point for conceptualizing the concept of disaster resilience is performed through the development of measurement and benchmarking tools for better understanding of factors that contribute to resilience and the effectiveness of interventions to sustain it. Since constructing composite indicators has often been addressed to perform this task in literature, this research has proposed the new hybrid approach to develop a sound set of composite indicators in the context of earthquake hazard.
The methodology has specially scrutinized data reduction and factor retention, and indicators weighting steps using a hybrid factor analysis and analytic network process (F’ANP). It replaces the hierarchical and deductive methods in the literature with an inductive method of factor analysis. The methodology also applies an unequal weighting method instead of an equal weighting in which the inter-dependencies and feedbacks among all indicators are considered.
The 368 urban neighborhoods (within 22 urban regions and 116 sub-regions) of Tehran City were utilized as a case study and validation tool for developing a new set of composite indicators in this dissertation. The ability to measure disaster resilience and the issue of resilience building is important for a community such as Tehran in view of the fact that the urban areas within the city tend to be inherently vulnerable, partially because of the high population and building density, and partially due to their exposure to earthquake hazard.
Visualization of the results (using Arc-GIS) provided a better understanding of resilience and its variation level at the scale of urban regions, sub-regions and urban neighborhoods. The results showed that the northern areas are relatively more disaster resilient while the regions located in the south or center of the city reflect lower level of disaster resilience. The reliability and validity of the proposed approach were assessed through comparing its results with the results of DROP and JICA studies using a scatter plot and Pearson’s correlation coefficient. The findings indicated that there is a strong positive relationship between the results of this study and the results of other two models},

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