Planning parameters and household carbon emission: Evidence from high- and low-carbon neighborhoods in Beijing

This paper contributes to the study of planning for low-carbon cities by providing empirical evidence on the relationship between planning parameters (i.e., density, land use mix, accessibility to public transportation and jobs-housing balance) and household carbon emission in Beijing, China. Five neighborhoods representing different levels of carbon emission are selected using a household survey dataset that includes 1227 sample households; these neighborhoods are analyzed using the survey dataset together with land use data provided by the Beijing Municipal Urban Planning Commission. Findings confirm that higher population density, mixed land-use patterns, better accessibility to public transportation, and job-housing balance are important planning parameters that reduce household carbon emission in Beijing. This research provides the first empirical evidence from a large Asian city that can assist planners and policy makers in estimating the impact that planning principles can have on reducing household carbon emission.

► Greater building density is associated with lower carbon emission by households.
► Greater land use mix reduces household transport carbon emission.
► Spatial proximity to employment reduces household transport carbon emission.
► Proximity to subway station reduces household transport carbon emission.