Measuring the Degree of Rural Victims’ Satisfaction with Concentrated Rural Settlement in Post-disaster Reconstruction in China: A Conceptual Model

Yi Peng (), Liyin Shen (), Weisheng Lu () and Hongping Yuan ()
Additional contact information
Yi Peng: The Hong Kong Polytechnic University
Liyin Shen: The Chongqing University
Weisheng Lu: The University of Hong Kong
Hongping Yuan: Southwest Jiaotong University

Chapter Chapter 6 in Proceedings of the 18th International Symposium on Advancement of Construction Management and Real Estate, 2014, pp 49-57 from Springer

Abstract: Abstract Developing concentrated rural settlement (CRS) in post-disaster reconstruction is considered as an effective means to achieve sustainable development and resilience by providing sufficient infrastructure and public services, more employment opportunities, and improved environmental quality. Several successful cases of developing CRS after 5.12 Sichuan Earthquake were reported. Existing studies have explored the critical determinant factors and decision model for developing CRS in post-disaster reconstruction in China at the macro level. However, few studies have been conducted to investigate rural victims’ feelings of CRS in post-disaster reconstruction at the micro level. As a result, it remains unknown whether CRS really benefit rural victims and where can be improved to deliver better CRS. The aim of this research is to put forward a conceptual model to measure the degree of rural victims’ satisfaction with CRS in post-disaster reconstruction in China. The logic and operation process of the conceptual model would be introduced. The conceptual model is helpful to guide data collection, data processing, and calculating the satisfaction degree in future. The result of satisfaction degree is useful to help identify the potential improvements on the CRS projects in post-disaster reconstruction in China.

Keywords: Concentrated rural settlement (CRS); Post-disaster reconstruction; Rural victims; Satisfaction degree; Conceptual model; China (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-44916-1_6

Ordering information: This item can be ordered from
http://www.springer.com/9783642449161

DOI: 10.1007/978-3-642-44916-1_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().