关键词: 住房价格, 通勤碳排放, 多层线性模型, 职住行为决策

Abstract:

Housing price dominates the residential location decisions, which in turn, has impacts on travel patterns and travel-related carbon emissions. Therefore, it is important to understand the effects of housing price on carbon emissions from commuting for low-carbon construction. In the paper, a theoretical model of residents' choices, housing price and carbon emissions from commuting is proposed. Then, this paper estimates the effect of housing price on carbon emissions from commuting by Multilevel Model at both individual and street levels based on data from the Jinan residents' travel survey. It is found that carbon emissions from commuting are lower in the central city but higher at outskirts, and housing price has siphon effect on carbon emissions. Specifically, the siphon effect shows that lower housing price in suburban areas leads to long commuting distance and motorization, which causes an increase in carbon emissions. Moreover, the marginal effect of housing on carbon emissions increases slowly within a 5 km distance from city center but rapidly beyond 5 km. Furthermore, we found that wages in suburban areas could moderate the siphon effect. It is easy for the suburban areas with rapid employment growth and higher wage to sustain jobs-housing balance, and less carbon emissions, but the suburban areas with lower wage tend to emit more. Overall, the government should pay attention to the polycentric spatial development, the improvement of the accessibility to work place as well as the transportation facilitation in public rental housing community in the low-carbon construction in the future.

Key words: housing price, commuting carbon emissions, multilevel models, occupational-residential behavior decision-making