Spatiotemporal Evolution and Driving Forces of Sustainable Development of Urban Human Settlements in China for SDGs

Cong, Xueping; Li, Xueming; Tian, Shenzhen

doi:10.3390/land10090993

Cited by 19 publications

(16 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in Refs. [39][40][41][42][43][44], SDF is directly used as a common-sense concept without systematic exploration. Specifically, in Ref.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of the Sustainable Driving Effect of Building Energy Consumption on Economic Development Based on the Sustainable Driving Force Model

et al. 2023

View full text Add to dashboard Cite

The environmental problems caused by building energy consumption (BEC) are becoming increasingly prominent. Reducing building energy consumption can not only effectively curb environmental pollution, but also continue to promote economic development. However, there are few reports on reducing building energy consumption to continuously promote economic development. Sustainable driving force (SDF) has been widely mentioned in past research as a common-sense concept, but few systematic studies have been carried out. The main research objectives of this article include two aspects: On the one hand, this study takes the lead in establishing an SDF model and conducting systematic research on SDF. On the other hand, based on the SDF model, an empirical study is conducted on the sustainable driving effect of reducing building energy consumption on economic development in China. The main conclusions are as follows: (1) Research on the SDF model: Based on common examples, the objective reality of SDF has been theoretically proven. Based on the relevant theories of econometrics, this article believes that the “Granger causality test” and the “distributed lag regression model” can be used as basic tools for quantitative research of SDF models. (2) Research on the application of SDF model: From the Granger causality test, it can be seen that the current BEC intensity is the Granger cause of China’s economic development in the first and eighth cycles of the future. According to the results of the distributed lag regression model, reducing BEC intensity has a sustainable driving effect on economic development. Specifically, in the lagged period 1~8, the sustainable driving effect (reverse effect) of BEC on economic development gradually increases at first (coefficient value from 3878.52 to 5163.87), and then gradually decreases (coefficient value from 5163.87 to 783.534). To sum up, the SDF model can provide a reference for the quantitative study of SDF; studying the sustainable driving effect of BEC on economic development can provide a macro reference for the government to formulate “energy conservation and emission reduction” measures.

show abstract

“…For example, in Refs. [39][40][41][42][43][44], SDF is directly used as a common-sense concept without systematic exploration. Specifically, in Ref.…”

Section: Discussionmentioning

confidence: 99%

“…Whether in natural or social sciences, it has been found that the terms "impetus", "driving force" and "sustainability" are frequently used. For example, many articles directly use the terms "impetus", "driving force" and "sustainability" in the title [37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Sustainable Driving Effect of Building Energy Consumption on Economic Development Based on the Sustainable Driving Force Model

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In the early stage of China’s habitat development, the theme of "people-oriented" was neglected [ 68 ], and the existing literature on evaluation is mainly focused on building indicator systems around the habitability, satisfaction, and safety of human settlements [ 5 , 69 ]. In recent years, Chinese scholars have generally considered that human settlements consist of two aspect: soft habitats and hard habitats, and they have also categorized indicators in constructing indicator systems based on the different main functions of urban habitats [ 37 ]. Compared with the existing human settlements indicator system, ours is capable of more specifically and comprehensively assessing.…”

Section: Discussionmentioning

confidence: 99%

“…Krefis et al [ 34 ] pointed out that urban settlements are associated with physical (objective health status), psychological (personal health status) and healthy emotional (emotional well-being) aspects of individuals. Chinese scholars have mainly focused on the research of urban human settlements, including the suitability of human settlements [ 35 ], comprehensive evaluation of human settlements’ quality [ 36 ] and sustainable development of human settlements [ 37 ]. From the perspective of research methodology, with the increasing diversification of research data, research methods have gradually become more abundant, including entropy weight method, analytic hierarchy process, Delphi method, principal component analysis, GIS spatial analysis method [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

Urban human settlements’ resilience measurement and characteristics and their mechanism model in China

Zhou,

Ao,

Zhu

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

This study introduces the principle of resilience into the study of human settlements. In this study, a comprehensive evaluation model of urban human settlements’ resilience based on the provincial region of China was constructed using the Driver–Pressure–State–Impact–Response framework. The spatio-temporal evolution characteristics of urban human settlements’ resilience was explored. The influencing factors were analysed by geographical detectors, and the driving mechanism was constructed. Results show that the following. (1) The resilience level of human settlements in China continued to increase, and the resilience level of each province and city changed significantly. The overall clustering effect showed a tendency to fluctuate and weaken. The distribution of cold spot areas became less and less, and the hot spots were moving from northeast China to southeast China. (2) Significant differences existed in the intensity of the impact of different indicators on the resilience system. The value of the impact factor showed an overall upward trend, and the number of key impact factors increased. (3) Improving the ability of scientific and technological innovation, accelerating the transformation and upgrading of the regional economy, increasing the training of talents and making financial inclination in scientific and technological development and industrial pollution control were all important ways for developing and maintaining the resilience of urban human settlements. This study not only introduces a new evaluation of urban human settlements from the perspective of resilience but also explores key impact indices and driving mechanisms, which provides new ideas for studying urban human settlements.

show abstract

“…As the first battle to achieve high-quality urban development, promoting the sustainable development of the community human settlement system can effectively alleviate the contradiction between people's growing need for a better life and unbalanced and insufficient development [43][44][45]. Currently, scholars at home and abroad focus on the conceptual cognition of human settlement [44,46] and research on human settlement from the perspectives of sustainable development [47][48][49], livability [50,51] and vulnerability [52,53], using a combination of qualitative and quantitative methods such as the questionnaire survey administered to residents [54,55], the entropy method [45,56], GIS spatial analysis [48,57], the coupling coordination degree model [58,59] and the geographical detector model [60]to study the human settlement . The urban human settlement system has been explored and the connotation, components and evolutionary trends of the human settlement system have been clarified.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Community Human Settlement Resilience and Spatial Characteristics Based on the Supply-demand Mismatch between Health Activities and Environment: A Case Study of Downtown Shanghai, China

Zhong

Chen

2023

Preprint

View full text Add to dashboard Cite

Introduction Under the trends toward globalisation, human settlement has increasingly become a key risk factor influencing human life. The equal relationship between human beings and the environment is an important support to improve the resilience of human settlement environment, and the resilience of community human settlement environment is an important determinant to cope with the pressure of globalisation. Thus, focusing on the principal contradictions of community development under the pressure of globalisation, this study explores the connotation of community resilience oriented towards the supply-demand mismatch between community residents' health activities and environment, constructs an organically integrated theoretical framework and evaluation indicator system. Methods This study takes downtown Shanghai as an example, relying on 2018 land use data, Dorray Sport APP data, geospatial data and urban statistics as data sources, adopting the AHP-entropy weight method and the square grid method; a comprehensive community human settlement resilience index (CRI) model based on the DPSIR model is built to quantitatively analyse the spatial and temporal distribution of community human settlement resilience (CR), and the coupling relation between driving factors and human settlement resilience is quantitatively analysed by using tools such as the geographical detector and Origin software. Results i) the scores of CR showed a "slide-shaped" fluctuation difference situation; ii) the spatial pattern of CR showed a "pole-core agglomeration and radiation" type and a "ring-like agglomeration and radiation" type. iii) Distance to bus stops, average annual temperature, CO2 emissions, building density and number of jogging trajectories are the dominant factors affecting the resilience level of community human settlement. Conclusion From the perspective of the supply-demand mismatch between health activities and environment, this paper attempts to offer a general reference for the compilation of similar human settlement evaluation systems in various countries, by sorting out the international experience in the compilation, analysis and calibration of relevant human settlement factor tables, putting forward a new approach for the study of healthy human settlement in communities, which provides references for the constellation of assessments of building healthy community and healthy city all over the world.

show abstract

Spatiotemporal Evolution and Driving Forces of Sustainable Development of Urban Human Settlements in China for SDGs

Cited by 19 publications

References 40 publications

Analysis of the Sustainable Driving Effect of Building Energy Consumption on Economic Development Based on the Sustainable Driving Force Model

Analysis of the Sustainable Driving Effect of Building Energy Consumption on Economic Development Based on the Sustainable Driving Force Model

Urban human settlements’ resilience measurement and characteristics and their mechanism model in China

Comprehensive Evaluation of Community Human Settlement Resilience and Spatial Characteristics Based on the Supply-demand Mismatch between Health Activities and Environment: A Case Study of Downtown Shanghai, China

Contact Info

Product

Resources

About