Knowledge Mapping of Homeowners' Retrofit Behaviors: An Integrative Exploration
Author(s): |
Guo Liu
Yongtao Tan Zhijia Huang |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 30 June 2021, n. 7, v. 11 |
Page(s): | 273 |
DOI: | 10.3390/buildings11070273 |
Abstract: |
Energy retrofitting of existing residential buildings has a great potential to achieve a sustainable future. One important way to reach this potential is to understand homeowners’ retrofit behaviors due to their crucial roles in retrofit adoption and retrofit effects. Despite many attempts, researchers and governments still know less about the holistic profile of homeowners’ retrofit behaviors, which brought little success in trigging renovation activities and achieving expected retrofit effects. This study tries to fill this research gap by a comprehensive review of the body of existing research. A keyword-based scientometric analysis was performed based on a set of 152 journal articles. By further refining keywords, main research domains pertaining to investment-decision-energy behaviors, policy instruments, retrofit types, construction & services, and methods & methodologies were mapped to show relevant research knowledge and research topics. Based on these research results, a further integrated framework was developed, which explains homeowners’ retrofit behaviors in a systematic way of cross-disciplinary knowledge interactions. Furthermore, implications for retrofit policies in existing buildings were provided. This study is useful for facilitating future research to deepen homeowners’ retrofit behaviors, and also provides valuable references for policy makers to successfully promote home energy retrofit. |
Copyright: | © 2021 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10613478 - Published on:
09/07/2021 - Last updated on:
14/09/2021