How does urbanization affect the carbon intensity of human well-being? A global assessment

Wang, Shuanjin; Xie, Zihan; Wu, Rong; Feng, Kuishang

doi:10.1016/j.apenergy.2022.118798

Cited by 67 publications

(20 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the past 70 years, China has achieved the feat of moving half of its population to cities and towns, and since the 21st century, China's urbanization rate has increased by approximately 30%, from 36.5% to 64.7%, and is predicted to reach 81.6% within the next three decades [11,12]. Meanwhile, urbanization is also viewed as the key driver affecting carbon emissions (CEs) [13][14][15][16]. Currently, the top 600 cities worldwide are inhabited by 20% of the global population, create about 60% of the GDP, and emit about 70% of global greenhouse gases [9].…”

Section: Introductionmentioning

confidence: 99%

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Zhen-wei

Mao

et al. 2022

IJERPH

View full text Add to dashboard Cite

Within the context of the “30·60 dual carbon” goal, China’s low-carbon sustainable development is affected by a series of environmental problems caused by rapid urbanization. Revealing the impacts of urbanization on carbon emissions (CEs) is conducive to low-carbon city construction and green transformation, attracting the attention of scholars worldwide. The research is rich concerning the impacts of urbanization on CEs but lacking in studies on their spatial dependence and heterogeneity at multiple different scales, especially in areas with important ecological statuses, such as the Han River Ecological Economic Belt (HREEB) in China. To address these gaps, this study first constructed an urbanization level (UL) measurement method. Then, using a bivariate spatial autocorrelation analysis and geographically weighted regression model, the spatial relationships between UL and CEs from 2000 to 2020 were investigated from a multiscale perspective. The results were shown as follows. The total CEs in the HREEB witnessed an upsurge in the past two decades, which was mainly dispersed in the central urban areas of the HREEB. The ULs in different regions of the HREEB varied evidently, with high levels in the east and low levels in the central and western regions, while the overall UL in 2020 was higher than that in 2000, regardless of the research scale. During the study period, there was a significant, positive spatial autocorrelation between UL and CEs, and similar spatial distribution characteristics of the bivariate spatial autocorrelation between CEs and UL at different times, and different scales were observed. UL impacted CEs positively, but the impacts varied at different grid scales during the study period. The regression coefficients in 2020 were higher than those in 2000, but the spatial distribution was more scattered, and more detailed information was provided at the 5 km grid scale than at the 10 km grid scale. The findings of this research can advance policy enlightenment for low-carbon city construction and green transformation in HREEB and provide a reference for CE reduction in other similar regions of the world.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Zhen-wei

Mao

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…A trapezoidal distribution function is selected to calculate the fuzzy membership degree of the quantitative index to the ecological vulnerability grade. The fuzzy membership function of a positive index can be calculated by Formulae (4) to (6), and that of a negative index can be seen in Formulae (7) to (9).…”

Section: Fuzzy Theory For Ecological Vulnerability Assessmentmentioning

confidence: 99%

“…The increase in human activities has gradually altered natural processes [1][2][3]. Urbanization, industrialization, and resource exploitation all contribute to the deterioration of the urban living environment, ecological damage to river basins, soil erosion, and other global ecological problems [4][5][6]. In this context, research into the adaptive ability of the ecological environment to deal with anthropogenic disturbance has become the most prominent and urgent problem in ecological management.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Ecological Vulnerability Assessment Driven by Human Impacts in China

2022

View full text Add to dashboard Cite

Human activities have a significant impact on global ecosystems. Assessing and quantifying ecological vulnerability is a fundamental challenge in the study of the ecosystem’s capacity to respond to anthropogenic disturbances. However, little research has been conducted on EVA’s existing fuzzy uncertainties. In this paper, an ecological vulnerability assessment (EVA) framework that integrated the Exposure-Sensitivity-Adaptive Capacity (ESC) framework, fuzzy method, and multiple-criteria decision analysis (MCDA), and took into account human impacts, was developed to address the uncertainties in the assessment process. For the first time, we conducted a provincial-scale case study in China to illustrate our proposed methodology. Our findings imply that China’s ecological vulnerability is spatially heterogeneous due to regional differences in exposure, sensitivity, and adaptive capacity indices. The results of our ecological vulnerability assessment and cause analysis can provide guidance for further decision-making and facilitate the protection of ecological quality over the medium to long term. The developed EVA framework can also be duplicated at multiple spatial and temporal dimensions utilizing context-specific datasets to assist environmental managers in making informed decisions.

show abstract

“…In recent years, severe changes in the global climate and frequent extreme weather events and natural disasters have primarily been attributed to human energy consumption and carbon emissions [ 1 , 2 , 3 ]. If greenhouse gas (GHG) emissions are not reduced, these trends of environmental change will affect global ecosystems and human society and threaten sustainable development [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Built-Environment on Carbon Dioxide Emissions from Traffic: A Systematic Literature Review

Huang

Zhang

Deng

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

With the acceleration of global urbanization, the interaction between the urban built environment and transportation carbon emissions (TCE) has become an urgent problem and an area of intensive research. This paper presents a bibliometric and visual analysis of 1060 pieces of literature related to the built environment and TCE from 1998 to 2022. It explores the current research progress and future development trends in this field. The results show the following. (1) The number of papers published on the built environment and TCE during this period has shown a continuous increasing trend, and the periods of growth can be divided into three stages. (2) Research in this area has been carried out in many countries and regions around the world, involving different dimensions such as examinations at the city, provincial, and national levels. (3) Through an analysis involving keyword clustering, a keyword hotspot map, and a burst map, we have established that the research on TCE has exhibited step-by-step growth, and the carbon emissions from vehicles is the topic that has been considered over the longest period. (4) The impact of the built environment on TCE can be broadly divided into macro-functional and micromorphological factors.

show abstract

How does urbanization affect the carbon intensity of human well-being? A global assessment

Cited by 67 publications

References 78 publications

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Fuzzy-Based Ecological Vulnerability Assessment Driven by Human Impacts in China

Impacts of Built-Environment on Carbon Dioxide Emissions from Traffic: A Systematic Literature Review

Contact Info

Product

Resources

About