Affiliation:
1. School of Telecommunications Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China
2. Institute of Building Intelligence, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China
3. School of Mechanics & Civil Engineering, China University of Mining and Technology, Xuzhou 221000, P. R. China
Abstract
With the purpose of clarifying the energy-saving influencing factors of the participants in the construction project, qualitative analysis and scientific measurement analysis were combined in this paper to define and identify the energy-saving influencing factors of the construction project lifecycle. First, a qualitative analysis of the research literature of the natural science index (SCI) and social science citation index (SSCI) databases was conducted through a combination of literature analysis and expert interviews, constructing a list of the energy-saving influencing factors in the lifecycle of construction projects. Second, the knowledge map of the energy-saving research literature of construction projects in the past 20 years from the Web of Science (WOS) database was drawn through Citespace. Then the hotspots of energy-saving research in international construction projects were identified through keyword co-occurrence map as energy saving, energy efficiency, and energy consumption. The main research subjects were divided into four categories: energy-saving management and incentive policies, project users’ energy-saving behaviors and awareness, various energy-saving new materials and technologies, and energy-saving management and control at the operation and maintenance stage. Next, nine main clusters on energy-saving research were identified through cluster analysis, mainly distributed in various energy-saving technology research, energy-saving behavior and power research of owners and residents, policy and regulation research, and energy-saving management and control research in the operation and maintenance stage. Finally, the knowledge mapping analysis results were classified and defined according to the action scope of each stage of the construction project, and the identification of the energy-saving influencing factors in the construction project lifecycle was completed.
Funder
Jiangsu Provincial Department of Housing and Urban Rural Construction Project
Jiangsu Construction System Science and Technology Project
Xuzhou Science and Technology Project
Jiangsu Province Qing Lan Academic Leader Project
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Cited by
4 articles.
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