Chen Chien-Fei, Zarazua de Rubens Gerardo, Xu Xiaojing, Li Jiayi
Center for Ultra-wide-area Resilient Electrical Energy Transmission Networks (CURENT), Department of Electrical Engineering and Computer Science, University of Tennessee, USA.
Center for Energy Technologies, Department of Business Development and Technology, Aarhus University, Birk Centerpark 15, DK-7400 Herning, Denmark.
Energy Res Soc Sci. 2020 Oct;68:101688. doi: 10.1016/j.erss.2020.101688. Epub 2020 Jul 7.
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.
本研究探讨了纽约市在新冠疫情期间能源使用模式的动态变化、气候变化问题以及社会心理因素之间的关系,以及居民对家庭能源管理系统(HEMS)的接受程度和支付意愿(WTP)。我们的调查结果表明,工作日不再有早晚用电高峰,且很大一部分受访者的用电量高于或远高于平均水平。大多数居民在新冠疫情期间对气候变化问题的认知保持不变。态度、感知行为控制和社会规范总体上是采用意愿和对HEMS支付意愿的最强预测因素。关于对特定福祉功能的支付意愿,态度是远程医疗和家庭安全功能的最强正向预测因素,而社会规范是老年护理和求职功能的最强正向预测因素。令人惊讶的是,技术焦虑对福祉功能的支付意愿有正向影响。对公用事业公司的信任与采用意愿无关,但与福祉功能的支付意愿呈正相关。虽然网络安全担忧与能源和福祉功能的HEMS采用意愿呈正相关,但这种关系在支付意愿方面并不显著。认为感染新冠病毒风险中等的居民比高风险和低风险群体愿意支付更多。本文探讨了技术属性、用户的社会心理和人口统计学因素之间的相互作用。此外,本研究为在危机时期(如新冠疫情期间)研究技术采用和能源动态提供了进一步研究的见解。