Risk Assessment of Green Retrofit Projects in Old Residential Districts from the Perspective of Whole Life Cycle

Hao Xue (), Xiaosen Huo and Liudan Jiao
Additional contact information
Hao Xue: Chongqing Jiaotong University
Xiaosen Huo: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 523-535 from Springer

Abstract: Abstract The green retrofits of old residential districts is an important way to promote urban renewal and to realize the sustainable development of existing buildings. However, many risks faced during the renovation process hinder the advancement of the retrofit work. In this study, a risk indicator system for green retrofit projects in old residential districts was built from the perspective of the whole life cycle, and the experts’ opinions on the occurrence probability of various risk factors and the impact degree on the project was collected based on a questionnaire survey. SPSS software was applied to conduct the descriptive statistical analysis, and then the probability of risk factors and the impact degree were multiplied to assess the risk factors comprehensively, and the top 10 key risk factors were identified and analyzed. The research results provide a valuable reference for effectively managing the risks of green retrofit of old residential districts and promoting the implementation of green retrofit projects in China.

Keywords: Green retrofit; Old residential district; Risk assessment; Questionnaire survey (search for similar items in EconPapers)
Date: 2022
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:lnopch:978-981-19-5256-2_42

Ordering information: This item can be ordered from
http://www.springer.com/9789811952562

DOI: 10.1007/978-981-19-5256-2_42

Access Statistics for this chapter

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