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Open AccessArticle

Spatial Pattern of Residential Carbon Dioxide Emissions in a Rapidly Urbanizing Chinese City and Its Mismatch Effect

Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions of Ministry of Education & Collaborative Innovation Center of Urban-Rural Coordinated Development of Henan Province/Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China
Department of Geography & Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT 06269-4148, USA
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Authors to whom correspondence should be addressed.
These authors contributed equally to this study.
Sustainability 2018, 10(3), 827;
Received: 10 January 2018 / Revised: 6 March 2018 / Accepted: 13 March 2018 / Published: 15 March 2018
Cities undergoing rapid urbanization are characterized by quick successions of spatiotemporal patterns, meaning that traditional methods cannot adequately assess carbon emissions from urban residential areas, which prevents the study of spatial mismatch. Therefore, this study utilizes night-time lights to construct a spatial emissions model that enables the analysis of the evolution of emissions patterns in China. The results indicate that, compared to the traditional method, the spatial modeling based on night-time lights reflects the spatial emissions trajectories in a more timely and accurate manner in rapidly urbanizing cities. Additionally, we found a relatively low degree of spatial match between emissions and economic activities, with the former, which are greatly affected by urbanization, having a larger dynamism and instability than the latter. Such spatial mismatch effect illustrates that policy makers should focus on factors beyond economics in order to reduce residential carbon emissions during China’s rapid urbanization process. View Full-Text
Keywords: rapid urbanization; night-time lights; carbon emissions; spatial mismatch rapid urbanization; night-time lights; carbon emissions; spatial mismatch
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MDPI and ACS Style

Lu, H.; Liu, G.; Miao, C.; Zhang, C.; Cui, Y.; Zhao, J. Spatial Pattern of Residential Carbon Dioxide Emissions in a Rapidly Urbanizing Chinese City and Its Mismatch Effect. Sustainability 2018, 10, 827.

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