GIS-based Urban Neighborhood Household Commute Carbon Emissions Hotspots Analyses

In recent years, the speed of urbanization and industrialization in China increased fastyear after year. The sustainability of China’s economic development is facing severe crisis. Onthe one hand, there is great demand for energy. On the other hand, we have to face thepressure of global greenhouse gas emissions. Low-carbon city has been proposed under thisbackground, and become the only way to improve China’s urban development. Therefore, thestudy of urban households’ carbon emissions especially the commute carbon emissions’spatial pattern as well as the influencing factors are very important to the development oflow-carbon economy, building low-carbon cities and the development of low-carbon transportin China.This paper analyzes the relationship between households commute carbon emissionswith family properties, and city spatial form by studying the characteristics of the familytransport carbon emissions in terms of quantity and distribution，then looks for the influencingfactors of urban households transport carbon emissions and trends. Based on the survey dataof “2012space planning and low-carbon Xi’an”, using spatial statistical methods and GIShotspot analysis to find the characteristics of the spatial patterns of Xi’an household commutecarbon emissions. Select Xi’an high carbon and low-carbon neighborhoods as case，comparative analyze the differences between the influencing factors and then summarize thereasons.Finally by exploring the causes of households commuter carbon emissions hotspots,relevant policies and measures to reduce household commute carbon emissions.The furtherresearch will use quantitative models, clarify how neighborhoods attributes householdscommute carbon emissions thus planners can use space planning tools to build a low-carboncity. And this research provide ideas for China’s construction of low-carbon transport.