School of Geographical Sciences, State Cultivation Base of Eco-agriculture for Southwest Mountainous Land, Southwest University, Chongqing, 400715, China; Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, School of Geographical Sciences, Southwest University, Chongqing, 400715, China; Chongqing Engineering Research Centre for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing, 2 Tiansheng Rd, 400715, China.
Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China; School of Geographical Sciences, East China Normal University, Shanghai, 200241, China.
J Environ Manage. 2020 May 15;262:110300. doi: 10.1016/j.jenvman.2020.110300. Epub 2020 Feb 25.
Effectively evaluating the effects of urban forms on CO emissions has become a hot topic in socioeconomic sustainable development; however, few studies have been able to explore the urban form-CO emission relationships from a multi-perspective view. Here, we attempted to analyze the relationships between urban forms and CO emissions in 264 Chinese cities, with explicit consideration of the government policies, urban area size, population size, and economic structure. First, urban forms were calculated using the urban land derived from multiple-source remote sensing data. Second, we collected and processed CO emissions and three control variables. Finally, a correlation analysis was implemented to explore whether and to what extent the spatial patterns of urban forms were associated with CO emissions. The results show that urban form irregularity had a more significant impact on CO emissions in low-carbon pilot cities than in non-pilot cities. The impact of the complexity of urban forms on CO emissions was relatively significant in the small- and large-sized cities than in the medium-sized cities. Moreover, urban form complexity had a significant correlation with CO emissions in all of the cities, the level of which basically increased with the population size. This study provides scientific bases for use in policy-making to prepare effective policies for developing a low-carbon economy with consideration of the associations between urban forms and CO emissions in different scenarios.
有效评估城市形态对 CO 排放的影响已成为社会经济可持续发展的热门话题；然而，很少有研究能够从多角度探讨城市形态与 CO 排放的关系。在这里，我们试图分析 264 个中国城市的城市形态与 CO 排放之间的关系，明确考虑了政府政策、城市面积、人口规模和经济结构。首先，利用多源遥感数据提取的城市土地计算城市形态。其次，我们收集和处理 CO 排放和三个控制变量。最后，进行相关分析，以探讨城市形态的空间格局是否以及在何种程度上与 CO 排放有关。结果表明，在低碳试点城市，城市形态不规则性对 CO 排放的影响比非试点城市更为显著。在中小城市，城市形态复杂性对 CO 排放的影响相对较大，而在大城市则相对较小。此外，城市形态复杂性与所有城市的 CO 排放都有显著的相关性，其水平基本随着人口规模的增加而增加。本研究为制定政策提供了科学依据，以便在不同情景下考虑城市形态与 CO 排放之间的关系，制定发展低碳经济的有效政策。
