Weatherization Adoption in A Multilayer Social Network: An Agent-based Approach

被引:3
作者
Huang, Wanyu [1 ]
Krejci, Caroline C. [2 ]
Dorneich, Michael C. [1 ]
Passe, Ulrike [3 ]
机构
[1] Iowa State Univ, Dept Ind & Mfg Syst Engn, Ames, IA 50011 USA
[2] Univ Texas Arlington, Dept Ind & Mfg Syst Engn, Arlington, TX 76019 USA
[3] Iowa State Univ, Dept Architecture, Ames, IA USA
来源
CSS 2017: THE 2017 INTERNATIONAL CONFERENCE OF THE COMPUTATIONAL SOCIAL SCIENCE SOCIETY OF THE AMERICAS | 2017年
关键词
Weatherization; Agent-based Model; Building Energy Simulation; Multilayer Social Network; Theory of Planned Behavior; Epidemic Model; ENERGY TECHNOLOGY; DIFFUSION; BEHAVIOR; INNOVATIONS; KNOWLEDGE; DYNAMICS;
D O I
10.1145/3145574.3145598
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Energy conservation in residential buildings has been a topic of interest in recent years because of their high levels of energy consumption. Weatherization is set of approaches that can be used to make buildings more energy-efficient, thereby helping residents lower their energy bills and improving environmental sustainability. However, there are two significant challenges associated with weatherization adoption: high upfront investment costs with a long payback period, and minimal awareness of weatherization and its benefits. This paper proposes an agent-based model that will allow researchers to explore residents' socially-motivated energy conservation decisions by providing a realistic social context via a multilayer social network and incorporating opinion dynamics based on the Susceptible-Exposed-Infected-Recovered epidemic model. Several experimental scenarios are run to demonstrate the model's potential to help policymakers determine how to encourage residential weatherization adoption.
引用
收藏
页数:10
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