Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19
Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19
复制标题
DOI：
10.1016/j.erss.2020.101688
复制
发表时间：
2020-10-01
影响因子：
6.7
通讯作者：
Li, Jiayi
中科院分区：
文献类型：
--
作者：
Chen, Chien-fei;de Rubens, Gerardo Zarazua;Li, Jiayi
本研究探讨了COVID-19大流行期间纽约能源使用模式、气候变化问题以及社会心理因素与居民对家庭能源管理系统（HEMS）的接受度和支付意愿（WTP）之间的关系。我们的调查结果显示，工作日不再有早晚的用电高峰，相当一部分受访者的用电量高于或远高于平均水平。大多数居民对新冠疫情期间气候变化问题的看法没有变化。态度、感知行为控制和社会规范总体上是HEMS采用意愿和WTP的最强预测因子。对于具体的幸福感特征，态度是远程医疗和家庭安全特征的最强正向预测因子，而社会规范是老年救助和求职的最强正向预测因子。令人惊讶的是，技术焦虑对幸福感特征的WTP有积极影响。对公用事业的信任与采用意愿无关，但与幸福感特征的WTP呈正相关。尽管网络安全问题与HEMS对能源和福祉特征的采用意愿呈正相关，但这种关系在WTP中并不显著。认为感染新冠病毒风险中等的居民比高、低风险人群愿意支付更高的费用。本文探讨了技术属性与用户社会心理和人口因素之间的相互作用。此外，本研究还为进一步研究COVID-19等危机时期的技术采用和能源动态提供了见解。
This study explores the dynamics of energy use patterns, climate change issues and the relationship between social-psychological factors, with residents' acceptance of and willingness to pay (WTP) for home energy management systems (HEMS) during the COVID-19 pandemic in New York. The results of our survey suggest that there were no longer morning or evening usage peaks on weekdays, and a significant portion of respondents are experiencing higher or much higher electricity use than average. Most residents' perception of climate change issues during COVID-19 remained unchanged. Attitude, perceived behavioral control, and social norms are overall the strongest predictors of adoption intention and WTP for HEMS. Regarding WTP for specific well-being features, attitude was the strongest positive predictor of telemedical and home security features, and social norms are the strongest positive predictor of elderly assistance and job search. Technology anxiety, surprisingly, positively influences WTP for the well-being features. Trust in utilities is not related to adoption intention, but is positively associated with WTP for the well-being features. Although cybersecurity concerns are positively associated with HEMS adoption intention for energy and well-being features, this relationship is not significant in WTP. Residents who had moderate perceived risk of getting COVID-19 are willing to pay more than the high-and low-risk groups. This paper addresses the interactions among technology attributes, and users' social-psychological and demographics factors. Additionally, this study provides insights for further research in examining technology adoption and energy dynamics during times of crises, such as the COVID-19.