Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7527
Title: A generic decision model for developing concentrated rural settlement in post-disaster reconstruction : a China study
Authors: Peng, Y
Shen, QP 
Shen, LY
Lu, C 
Yuan, Z 
Keywords: 5.12 Sichuan Earthquake
China
Concentrated rural settlement (CRS)
Generic decision model
Mapping
Post-disaster reconstruction
Issue Date: Mar-2014
Publisher: Springer
Source: Natural hazards, Mar. 2014, v. 71, no. 1, p. 611-637 How to cite?
Journal: Natural hazards 
Abstract: The increasing impacts of natural disasters on disadvantaged rural areas, especially in developing countries, have led to concerns regarding post-disaster rural settlement reconstruction. Various approaches, including resettlement and in-situ reconstruction, have been adopted, both of which disregard changing the pattern of dispersed settlement in villages. Against a pattern of dispersed settlement, developing a concentrated rural settlement (CRS) within a village is argued to enable the resilience of rural villages and provide a basis for sustainable development after a disaster. Nevertheless, this has received little attention when determining a plan of actions for post-disaster reconstruction. No specific guidelines can be referenced when developing CRS in post-disaster reconstruction due to the lack of a generic decision model. Therefore, this study examines the process of developing CRS in post-disaster reconstruction by mapping four cases selected in Dujiangyan, China, after the 5.12 Sichuan Earthquake in 2008. The examination leads to establishing a generic decision model for developing CRS in post-disaster reconstruction, which incorporates all the proficiencies embodied in the existing practices. This model provides an alternative tool for planning CRS in post-disaster reconstruction. It can also serve as a vehicle for identifying both effective practices and weak areas by comparing varying cases.
URI: http://hdl.handle.net/10397/7527
ISSN: 0921-030X
EISSN: 1573-0840
DOI: 10.1007/s11069-013-0924-3
Rights: © Springer Science+Business Media Dordrecht 2013
This is an Accepted Manuscript of an article published by Springer in Natural Hazards. The final publication is available at Springer via http://dx.doi.org/10.1007/s11069-013-0924-3
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