Mi energysaver2/24/2023 ![]() ![]() Thus, promoting residents' energy-saving behaviors seems a promising sustainable development strategy in the residential sector (Allcott and Rogers, 2014). Also, the behavior-driven energy-saving strategy requires less capital and time investment than other methods. In addition to the common energy-saving methods, such as energy-efficient building services (Li et al., 2013 Shi et al., 2016) and sustainable materials (Weng et al., 2020), sufficient empirical observations have evidenced that energy-saving interventions can reduce household energy consumption by 10%−30% (Allcott and Rogers, 2014 Hafner et al., 2020 Schwartz et al., 2015 Xu et al., 2021). This increase comes from the long-term home-stay of residents under the extensive home office and remote learning mode (Klemeš et al., 2020). Although the overall carbon emissions have decreased globally during the COVID-19 epidemic (Liu et al., 2020a Tollefson, 2020), the residential sector has dramatically consumed more energy than before (Rouleau and Gosselin, 2021). The residential sector is one of the most important energy consumers, contributing 27% of global energy consumption and 17% of carbon emissions (Nejat et al., 2015). ![]() The findings can contribute to occupant typology development, which is important to capture the diverse energy effect of occupant activity in building energy simulation research as well as differential energy-saving intervention setting in residential buildings to achieve sustainable development goals. This study could broaden the scope of pro-environmental behavior research and advance knowledge by untangling the intertwined relationship between personality traits and household energy-saving behavior. The positive and temperate groups’ energy-saving intention is more sensitive to subjective norms, while perceived behavior control plays a more critical role in other groups. Besides, the results present the different effects of psychological factors on the energy-saving behaviors of different resident groups. The extended TPB factors explain the best performance on household energy-saving intention and behaviors of the positives. We examine the behavioral pattern of each resident group, and the analysis indicates that TPB attributes bridge personality traits and household energy-saving behaviors. The research observes significant heterogeneity of energy-saving behavior among the four resident groups. We employ the k-means algorithm to cluster 1119 respondents in Xi'an, China by their personality characteristics into four groups: (1) the positives, (2) the temperates, (3) the conservatives, and (4) the introverts. ![]() This study aims to explore the effects of Big Five personality traits on the energy-saving behavior of residents based on the extended theory of planned behavior (TPB). Personality traits play an important role in pro-environmental behavioral heterogeneity. ![]()
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