Could Urban Spatial Planning Really Help to Reduce Urban Carbon Emissions? A Case of Hangzhou
Posted: 31 Jul 2019
Date Written: June 26, 2019
Since land use patterns could affect travel behaviors through urban forms, it has been argued whether transport-related carbon emissions could be reduced by spatial planning and land use policy. The big data mining combined with GIS technology enables the in-depth analysis of this topic. In this study, we applied GPS data of taxies and resident travel questionnaire of Hangzhou to map the spatial and temporal features of the transportation-related carbon emissions. Then, we explored the relationship between transportation-related carbon emissions and urban form based on the basic geographic unit of subdistrict (Jiedao). We described the urban form from three aspects of density, diversity, and road characteristics. And urban density was described from residential density and employment density. Moreover, we used the land use diversity and the occupational dwelling balance level diversity to present diversity. And road network connection and road area rate were applied to represent road characteristics.
The regression analysis demonstrated that compared with density measurement indicators of compact development, indicators such as land use diversity and occupational dwelling balance level were more significant for reducing the carbon emissions from resident travels. In addition, considering the influences of spatial location, we conducted a GWR model to observe how urban form affected carbon emissions from resident travels. The results showed that there was an obvious spatial difference in the effects of land use diversity coefficient and road area ratio on the carbon emission intensity of travels. For the land use diversity, the most subdistricts presented the negative effects, and that of the positive coefficient was mainly distributed outside the urban core area. As to the road area ratio, subdistricts of the positive effects were mainly concentrated in the southeast and northwest of the urban core area, and others presented the negative effects. The findings of this study are further developed to provide policy implications to resolve China’s low-carbon urban development.
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