Urban “Three States” Human Settlements High-Quality Coordinated Development

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

INTRODUCTION

Under globalization, human settlement has become a major risk factor affecting life. The relationship between humans and the environment is crucial for improving community resilience and coping with globalization. This study focuses on the key contradictions of community development under globalization, exploring community resilience by analyzing the mismatch between residents' health activities and the environment.

METHODS

Using data from Shanghai downtown, including land use, Sports app, geospatial and urban statistics, this paper constructs a comprehensive community resilience index (CRI) model based on the DPSIR model. This model enables quantitative analysis of the spatial and temporal distribution of Community Human Settlement Resilience (CR). Additionally, the paper uses geodetector and Origin software to analyze the coupling relationship between drivers and human settlement resilience.

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

This paper contributes to the compilation of human settlement evaluation systems globally, offering insights into healthy community and city assessments worldwide. The findings can guide the creation of similar evaluation systems and provide valuable references for building healthy communities worldwide.

Evaluation and Impact Mechanism of High-Quality Development in China's Coastal Provinces

With economic expansion having moderated to a "new normal" pace, the eastern coastal provinces have been given a new historical task of high-quality development and become a window and frontier of China's high-quality development. By designing and optimizing an index system of high-quality development levels and using the entropy-TOPSIS method, the study selected 21 indicators, include economic vitality, residents' living standards, innovation efficiency and green development, and took China's eastern coastal provinces as an example to study the characteristics of spatial-temporal variations in the high-quality development level from 2010 to 2020. Then, the study used the obstacle degree model to explore the factors that are obstacles to high-quality development. The results show that the high-quality development of the eastern coastal provinces presents an "up-down-up" fluctuation, with an increase of 40.1%. In particular, the development level of the residents' living standards dimension is higher, and the high-quality development level of each province shows different degrees of growth and gradually tends to balanced development, with the high-quality development of Shanghai, Jiangsu Province and Zhejiang Province in a dominant position. The spatial pattern of high-quality development in the study areas shows a spatial distribution pattern of "high in the east and low in the west, high in the north and low in the south", in which the bipolar spatial effect of the innovation efficiency dimension is becoming more and more prominent, while the regional synergistic development effect of the residents' living standard dimension is more obvious, and the high-quality development spatial pattern shows a "core-periphery" structure, and there is a path-dependent effect in time change, and agglomeration is produced by trickle-down effect in space. The obstacles to residents' living standards are high, and the main obstacle factor has gradually changed from insufficient output in innovation to a reduction in the scale of foreign trade. In addition, the problems of unreasonable industrial structure and shortage of per capita public cultural resources still exist. In provinces with a high-quality development level and a relatively developed economy, the biggest obstacle factors are economic vitality and residents' living standards. In provinces with a low level of high-quality development and a relatively backward economy, the biggest obstacle factors are green development and innovation efficiency, and there are both similarities and differences in the main obstacle factors among provinces.

Coupling Coordination of Urban Pseudo and Reality Human Settlements

Urban pseudo and reality human settlements (PHSs and RHSs) are important components of the human–land relationship regional system. To explore the coupling and coordination relationship and principle among them is an important approach to high-quality coordinated urban development. Based on the three-dimensional development of human settlements, the theoretical system of a “three states” dynamic frame diagram is constructed. The spatio-temporal heterogeneity and driving principle of coupling coordination among PHSs and RHSs in 34 prefecture-level cities in northeast China from 2011 to 2019 were explained by using the coupling coordination degree, spatial trend surface analysis and geographic detector techniques, and the evolution principle of spatio-temporal coordination was revealed. The results show that: (1) in the temporal dimension, the coupling coordination degree among PHSs and RHSs in the three provinces shows a smooth growth from “slight disadjustment” to “near disadjustment”. (2) With Shenyang, Dalian, Changchun and Harbin as the center, the coordination degree shows a circular pattern decreasing from the transition area to peripheral area. In the direction of south and north, the spatial evolution trend shows a gradual change from a “—” shape to “U” shape. There is spatio-temporal variation of the trend surface from an inverted “U” shape to “—” shape in the east–west direction. (3) The socioeconomic situation is an important driving factor, and the tool system is a new driving system for the coupling and coordinated development of urban PHSs and RHSs.