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Journal of Housing and the Built Environment

, Volume 33, Issue 4, pp 877–892 | Cite as

A measurement framework of community recovery to earthquake: a Wenchuan Earthquake case study

  • Jie Liu
  • Di Lu
  • Yong-liang Wang
  • Zhen-wu ShiEmail author
Article
  • 236 Downloads

Abstract

This paper builds a measurement framework of community recovery to earthquake as a way to measure the recovery capacity and performance of local government. First, the paper examines and documents the concept of community recovery to summarize the evidence on dimensions and indicators of community recovery. And four dimensions of community recovery—population, economy, building, and infrastructure, are established on the basis of interviewing the organizational specialists on post-disaster recovery and reconstruction. Second, this paper extents the concept of the resilience triangle to propose a two-stage stochastic program for building a measurement framework of community recovery. Third, this measurement framework is demonstrated for Wenchuan Community, China, in the context of earthquake. The results illustrate that the four dimensions of Wenchuan Community achieve vastly different recovery levels, and the economy has the lowest recovery level, which provides a robust basis to prioritize dimensions of community recovery, and reinforces the vital role and position of local governments in improving the community recovery.

Keywords

Community Recovery indicator Measurement framework Earthquake China 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China under the Project Nos. 71601042 and 71603062, the Humanity and Social Science Youth Foundation of Ministry of Education of China under the Project Nos. 16YJC630071 and 16YJC630040, and China Postdoctoral Science Foundation Funded Project No. 2016M601401. We are thankful to editorial support (Editor Peter Boelhouwer, Queena Qian, and Naveen Parthiban) for their useful comments on the manuscript and three anonymous reviewers of Journal of Housing and Built Environment for their valuable advice.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Civil EngineeringNortheast Forestry UniversityHarbinChina
  2. 2.Corporate Financing DepartmentGuoDu Securities Co., LtdBeijingChina
  3. 3.Harbin Power System Engineering & Research Institute Co., LtdHarbinChina

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