Evidence map›Paper›PMID 40640282›Full record

ArticleScientific reports2025

Study on the interactive evolution mechanism of residents' energy use behavior in shared living spaces.

Xiaodan Liu, Sisi He, Wentao Peng, Ling Liao, Danyao Li, Jiaying Chen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaodan LiuSchool of Civil Engineering, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Sisi HeSchool of Economics and Management, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Wentao PengSchool of Civil Engineering, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Ling LiaoSchool of Civil Engineering, Guangxi University of Science and Technology, Liuzhou, 545006, China. liaoling@gxust.edu.cn.
Danyao LiSchool of Economics and Management, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Jiaying ChenSchool of Economics and Management, Guangxi University of Science and Technology, Liuzhou, 545006, China.

Funding

Guangxi Natural Science Foundation 2025GXNSFHA069097Guangxi Philosophy and Social Science Foundation 24GLF006Open Project Fund for Key Laboratory of Disaster Prevention & Mitigation and Prestress Technology of Guangxi graduate s and Universities GXKDTJ001The Doctoral Fund Project of Guangxi University of Science and Technology 22S19The National Natural Science Foundation of China 72361004
6 · The paper itself

Abstract

Guiding residents of shared living spaces to implement energy-saving behaviors can help improve building energy efficiency and promote the realization of the Carbon Peaking and Carbon Neutrality Goals. Since there are different subjects with different energy-use behaviors in shared living spaces, exploring how these heterogeneous subjects interact with each other is the key to guiding the energy-saving behaviors of residents in shared living spaces. Therefore, based on the evolutionary game theory, this study quantifies the utility of heterogeneous subjects under different combinations of strategies from five dimensions: social, environmental, economic and comfort needs, and effort, and constructs a mechanism model of the interaction and evolution of energy-use behaviors of heterogeneous subjects in shared living spaces. Subsequently, the student dormitory is taken as an example, data are obtained through questionnaires and matlab is used to analyze the interactive evolution process of heterogeneous subjects' energy-use behaviors, findings demonstrate that enhancing the likelihood of heterogeneous individuals adopting energy-saving strategies can be achieved through various means. When the time spent with roommates is 0-1 year, effective approaches encompass enhancing interpersonal relationships, diminishing comfort levels, heightening attention to energy-related concerns, escalating the cost associated with energy consumption, mitigating the effort required for habituating energy-use changes, bolstering perceived behavioral control, and augmenting perceived behavioral control. These efforts serve to render energy-use behaviors of heterogeneous subjects more efficacious. Furthermore, when the time spent with roommates is 1-2 years, adjustments such as judiciously reducing comfort levels or elevating the costs associated with energy consumption can be implemented. Finally, when the time spent with roommates is 2-3 years, interventions involve fostering collective consensus on energy conservation, diminishing comfort levels, or reinforcing individual norms.

Indexed as

Conservation of Energy ResourcesEnergy MetabolismFemaleGame TheoryHumansInterpersonal RelationsMaleSurveys and QuestionnairesEnergy use behaviorHeterogeneousInteractive evolution mechanismShared living space

Identifiers

PMID40640282
PMCPMC12246103

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.