Wu Hui, Fang Shiming, Zhang Can, Hu Shiwei, Nan Ding, Yang Yuanyuan
School of Public Administration, China University of Geosciences, Wuhan, 430074, China.
School of Public Administration, China University of Geosciences, Wuhan, 430074, China; Key Labs of Law Evaluation of Ministry of Land and Resources of China, Wuhan, 430074, China.
J Environ Manage. 2022 Mar 11;311:114866. doi: 10.1016/j.jenvman.2022.114866.
In the Urban Anthropocene, how to meet the demands of growing urban populations on limited urban land is a key global challenge. Unreasonable urban planning and land use has brought about undesirable consequences including huge carbon emissions. However, research on the spatial impact of urban form on urban land use efficiency (ULUE) under low-carbon emission constraints is limited. This study analyzes 91 cities located in China's Yellow River Basin (YRB). First, we define a new comprehensive indicator system to measure ULUE under low-carbon constraints using the SBM-UN model. We then select nine landscape indicators to quantify the sprawl, complexity, and aggregation of urban form. Finally, we use Spatial Durbin Model to reveal the relationship between urban form and ULUE. We find that carbon emissions in the YRB increased steadily during the study period. The average value of ULUE increased from 0.469 in 1994 to 0.772 in 2018. Efficiency improved most in the provinces of Shaanxi, Henan, Ningxia, and Shandong, with growth rates of 234.15%, 102.40%, 93.09%, and 66.24%, respectively. Positive global Moran's I indices suggest that the spatial distribution of ULUE is positively correlated at basin level. Moreover, urban form metrics in the YRB demonstrated significant regional differences from 1994 to 2018. The regression results showed irregular urban form can negatively impact ULUE while compact and aggregated urban forms can improve ULUE under low carbon constrains. In addition, there are both positive and negative correlations between urban sprawl and ULUE in different regions. Today's choices on urban form can restrict the development pattern of cities and lock in pathways of carbon emissions in the future. Based on the findings in this study, the government should pursue optimal city sizes, avoid scattered patterns and aim for compact urban form.
在城市人类世中,如何在有限的城市土地上满足不断增长的城市人口需求是一项关键的全球挑战。不合理的城市规划和土地利用带来了包括巨大碳排放在内的不良后果。然而,在低碳排放约束下,关于城市形态对城市土地利用效率(ULUE)的空间影响的研究有限。本研究分析了位于中国黄河流域(YRB)的91个城市。首先,我们定义了一个新的综合指标体系,使用SBM-UN模型来衡量低碳约束下的城市土地利用效率。然后,我们选择九个景观指标来量化城市形态的蔓延、复杂性和聚集性。最后,我们使用空间杜宾模型来揭示城市形态与城市土地利用效率之间的关系。我们发现,在研究期间,黄河流域的碳排放稳步增加。城市土地利用效率的平均值从1994年的0.469提高到2018年的0.772。陕西省、河南省、宁夏回族自治区和山东省的效率提升最为显著,增长率分别为234.15%、102.40%、93.09%和66.24%。全局莫兰指数为正表明,在流域层面,城市土地利用效率的空间分布呈正相关。此外,1994年至2018年期间,黄河流域的城市形态指标存在显著的区域差异。回归结果表明,不规则的城市形态会对城市土地利用效率产生负面影响,而紧凑和聚集的城市形态在低碳约束下可以提高城市土地利用效率。此外,不同地区的城市蔓延与城市土地利用效率之间存在正相关和负相关。当今对城市形态的选择会限制城市的发展模式,并锁定未来的碳排放路径。基于本研究的结果,政府应追求最优城市规模,避免分散模式,目标是打造紧凑的城市形态。