Quantitative Vulnerability Assessment for Economic Systems : Vulnerability and the Process of Recovery for Households and Companies in Phang-Nga and Phuket Provinces in Thailand

Philipp Willroth

ISBN 10: 3631635834 / ISBN 13: 9783631635834

Published by Peter Lang, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - In 2004 tsunami waves caused huge economic losses along the coastline of Southern Thailand. These resulted from direct damages and the following economic downturn. This study investigates the factors that led to this vulnerable situation. One of the greatest challenges in vulnerability research is the quantification. To answer this question, a wide database has been used, encompassing highly accurate remote sensing data, quantitative surveys and qualitative focus group discussion data. These data have been integrated in a structural equation model to reproduce factors and relations leading to the hazard induced effects and the capabilities to cope with. The model showed that the impact was almost completely compensated for by households' and companies' internal and external resilience capabilities.; Dissertationsschrift.

Seller Inventory # 9783631635834

Bibliographic Details

• Title: Quantitative Vulnerability Assessment for Economic Systems : Vulnerability and the Process of Recovery for Households and Companies in Phang-Nga and Phuket Provinces in Thailand
• Publisher: Peter Lang
• Publication Date: 2011
• Language: English
• ISBN 10: 3631635834
• ISBN 13: 9783631635834
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 14D millimeters 210 millimeters width by 148 millimeters height by 14 millimeters depth
• Weight: 360 grams

About this title

Synopsis

In 2004 tsunami waves caused huge economic losses along the coastline of Southern Thailand. These resulted from direct damages and the following economic downturn. This study investigates the factors that led to this vulnerable situation. One of the greatest challenges in vulnerability research is the quantification. To answer this question, a wide database has been used, encompassing highly accurate remote sensing data, quantitative surveys and qualitative focus group discussion data. These data have been integrated in a structural equation model to reproduce factors and relations leading to the hazard induced effects and the capabilities to cope with. The model showed that the impact was almost completely compensated for by households’ and companies’ internal and external resilience capabilities.

About the Author

Philipp Willroth, born 1980 in Kiel (Germany); Studies of Economic Geography, Business and Law at the University of Kiel; from 2007 PhD-Student and Research Associate at the Institute of Economic and Cultural Geography at the University of Hannover.