Projections of urban built-up area expansion and urbanization sustainability in China's cities through 2030

Jiang, Huiping; Guo, Huadong; Sun, Zhongchang; Xing, Qiang; Zhang, Hongsheng; Ma, Yao; Li, Sijia

doi:10.1016/j.jclepro.2022.133086

Cited by 52 publications

(17 citation statements)

References 62 publications

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“… High carbon RCP6-SSP5 Urban population and GDP per capita are increasing, carbon emission reduction is not obvious and carbon emissions continue to grow. China's urbanisation process, with rising urbanisation rates and continued growth in urban population [ 46 , 47 ]. Low carbon RCP4.5-SSP2 The government attaches great importance to environmental protection, vigorously deploying energy-saving and emission reduction policies and accelerating the research and development of low-carbon technologies.…”

Section: Methodsmentioning

confidence: 99%

Analysis of the carbon emission driving factors and prediction of a carbon peak scenario——A case study of Xi'an city

Yuxin

Zhang²,

Yaqian³

2022

Heliyon

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Section: Methodsmentioning

confidence: 99%

Analysis of the carbon emission driving factors and prediction of a carbon peak scenario——A case study of Xi'an city

Yuxin

Zhang²,

Yaqian³

2022

Heliyon

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“…84 Thus, in a given country and year, urbanization can be gauged as the fraction of the metropolitan population to the entire population. 85,86 The proportion of smallest city in each selected country can be evaluated as a percentage of the population in the smallest city to the entire annual population. 87,88 The proportion of the largest city in each selected country can be assessed as the fraction of the population of the largest city to the aggregate annual population.…”

Section: Model Development Variable Data Descriptions and Sources And...mentioning

confidence: 99%

Nonlinear effects of urbanization routes (proportion of small cities, and proportion of large cities) on environmental degradation, evidence from China, India, Indonesia, the United States, and Brazil

Ali,

Xinagyu,

Radulescu

2023

Energy & Environment

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The dynamic stochastic effects regressions on population, affluence, and technology model used in this study reveals the nonlinear effects of urbanization routes on CO2 emissions in China, India, Indonesia, the United States, and Brazil during 1970–2020, using dynamic seemingly unrelated regression, dynamic ordinary least square, and fully modified ordinary least square techniques. The empirical analysis shows that urbanization and the proportion of small cities contribute significantly to CO2 emissions, while the square of urbanization and the square of the proportion of small cities significantly reduce CO2 emissions, thus supporting the inverted U-shaped relationship for the selected countries. However, the effect of the proportion of large cities significantly reduces CO2 emissions, while the square of the proportion of large cities significantly promotes CO2 emissions, supporting a U-shaped relationship for specific countries. Gross domestic product, industrial development, and transport infrastructure contribute significantly to carbon emissions, while renewable energy generation significantly reduces carbon emissions. The country-level augmented mean group estimator in the analysis supports an inverted U-shaped relationship between urbanization and carbon emissions and a U-shaped relationship between the proportion of large cities and carbon emissions in all selected countries. There is also an inverted U-shaped relationship between the proportion of small cities and carbon emissions in China, India, Indonesia, and Brazil. The causality test results acknowledge bidirectional causality between urbanization and carbon dioxide emissions; between urbanization squared and carbon dioxide emissions; between the proportion of the largest cities and carbon dioxide emissions, and between renewable energy and carbon dioxide emissions. This study recommends renewable energy options, green urban infrastructure, and digital technologies to improve the environmental quality of urban areas. [Formula: see text]

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“…Over the last few decades, pressures on land availability brought on by urbanization has become a central issue, particularly for developing countries. The enormous land requirement to serve a rapidly expanding urban population has presented significant impediments to economic prosperity, social inclusion, and environmental protection (Angel et al 2021;Jiang et al 2022). Various modelling methods have been developed in recent years to handle various urban challenges which differ in approach and underlying principles .…”

Section: Introductionmentioning

confidence: 99%

A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium

Chakraborty

Mustafà

Omrani

et al. 2023

The Urban Book Series

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Urban expansion models are widely used to understand, analyze and predict any peculiar scenario based on input probabilities. Modelling and uncertainty are concomitant, and can occur due to reasons ranging from-discrepancies in input variables, unpredictable model parameters, spatio-temporal variability between observations, or malfunction in linking model variables under two different spatiotemporal scenarios. However, uncertainties often occur because of the interplay of model elements, structures, and the quality of data sources employed; as input parameters influence the behavior of cellular automaton (CA) models. Our study aims to address these uncertainties. While most studies consider neighborhood effects, timestep and spatial resolution, our study uniquely focuses on the susceptibility of multi density classes and varying cell size on uncertainty. Hence this chapter offers a theoretical elucidation of the concepts, sources, and strategies for managing uncertainty under various criteria as well as an algorithm for enumerating the model's accuracy for Wallonia, Belgium.

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Projections of urban built-up area expansion and urbanization sustainability in China's cities through 2030

Cited by 52 publications

References 62 publications

Analysis of the carbon emission driving factors and prediction of a carbon peak scenario——A case study of Xi'an city

Analysis of the carbon emission driving factors and prediction of a carbon peak scenario——A case study of Xi'an city

Nonlinear effects of urbanization routes (proportion of small cities, and proportion of large cities) on environmental degradation, evidence from China, India, Indonesia, the United States, and Brazil

A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium

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