Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China

Abstract

Current resident lifestyles pose a significant threat to urban sustainable development. Therefore, low-carbon behavior is receiving increasing attention from scholars and policy makers. Ascertaining residential self-selection is essential in order to study the relationship between the built environment and travel behavior. While several studies have explored the relationship between the urban form, socioeconomic factors, and travel behavior, only a few of them have studied the impact of self-selection on household energy consumption and other forms of consumption, which are also contribute to household carbon emissions. Using large-scale field surveys of 1,485 households and high-resolution images, sourced from Google Maps in 2018, of Zhengzhou city, the present study estimated the low-carbon level of three kinds of behavior: daily energy use at home, daily travel, and daily consumption. The study investigated the influence factors on low-carbon behavior using the hierarchical linear model. We found that residential self-selection impacts both energy use and daily travel. Residents in some built environments consumed less energy at home and contributed less CO2 emissions through daily travel than others. In particular, individual-level variables significantly affected the low-carbon energy use behavior. The female, elderly, highly educated, married, and working-class residents with children had higher levels of low-carbon energy use. Community-level variables significantly affected the level of low-carbon travel and low-carbon consumption. If residents lived in areas with high density, mixed land use, and high accessibility, their travel mode and consumption behavior would entail low carbon emissions. There is a relationship between individual variables and community variables. Different individual attributes living in the same built environment have different impacts on low-carbon behaviors.

How Does Environmentally Specific Servant Leadership Fuel Employees’ Low-Carbon Behavior? The Role of Environmental Self-Accountability and Power Distance Orientation

“…For example, Du and colleagues [ 14 ] investigated how carbon tax impacts the low-carbon behaviors of construction stakeholders. Zhang et al [ 15 ] surveyed Hangzhou, China, at the regional level to specify the impact of residential self-selection on low-carbon behavior. Moreover, at the corporate level, Sun et al [ 16 ] analyzed the relationship between low-carbon behavior, economic transformation, and financial performance in listed companies in China.…”

The Behavior-Driven Mechanism of Consumer Participation in “Carbon Neutrality”: Based on the Promotion of Replacing Coal with Biomass Briquette Fuel

“…At present, the research on residents’ low-carbon consumption behavior mainly focuses on two topics: factors affecting residents’ low-carbon consumption behavior and policies to guide residents’ low-carbon behavior [ 16 ]. The former focuses on the deep psychological attribution and social environmental impact of low-carbon consumption behavior, and its mechanism of action on low-carbon consumption behavior [ 19 ]. The latter focuses on formulating low-carbon consumption intervention policies, as well as studying the public acceptance and effectiveness of these intervention policies [ 20 ].…”

The Influence of Environment on the Distribution Characteristics of Historical Buildings in the Songshan Region

“…Additionally, with the increasing attention paid by the state to the protection and utilization of cultural heritage, the value of historical buildings in the Songshan region has been re-recognized, and the depth and breadth of research have been gradually enhanced. Although a few scholars have studied the static distribution of historical buildings, the change of cities, and the distribution of prehistoric settlements in the narrow sense of Mount Song from the micro scale [12][13][14], there is a lack of an overall grasp on and systematic analysis of the spatial distribution and influencing factors of historical buildings in the Songshan region from the macro scale. This study has three main objectives: (1) to analyze the spatial and temporal distri bution characteristics of historical buildings in the Songshan region by using the spatia data; (2) to choose some representative influencing factors and analyze their influences on the spatio-temporal distributed characteristics of historical buildings in the Songshan re gion, with the combination of local characteristics of the Songshan region; and (3) to pro vide a scientific basis for the coordination of historical buildings' protection and regiona construction in the Songshan region.…”