Spatiotemporal variation of urban thermal environment and its relationship with urban expansion types from 2000 to 2020: a case of Huai’an central urban area, Huai’an, China

Wang, Yuexiang; Zhu, Yunlong; Li, Xiaoshun; Cai, Anning; Wang, Xiyuan; Zhang, Chuan

doi:10.1080/19475705.2022.2101388

Cited by 2 publications

(1 citation statement)

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“…There is a need to improve the level of resilience of the community human settlement as soon as possible. The reason for this result may be the serious urban growth, which has led to a series of problems such as urban water logging, traffic congestion and ecological environment damage [68][69][70], which in turn has led to a lack of endogenous development momentum for human health activities [71,72] and a positive trend in this element is the key to improving the resilience of the human settlement. The lack of health activities among residents, as the main body of community activities, makes it difficult to sustain endogenous development dynamics and this trend is not conducive to the stable development of community human settlement system [73,74].…”

Section: Discussionmentioning

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

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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.

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