The evolution rules and the driving mechanisms behind rural settlement in the peak-cluster depressions of Guizhou Province, China, over the past 50 years

Yangbing, 李阳兵 Li; Ruikang, 李睿康 Li; Guangjie, 罗光杰 Luo; Jing, 谢静 Xie; Qian, 徐倩 Xu

doi:10.5846/stxb201704290789

Cited by 2 publications

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“…The cold and hot spot model compares the sum value of an element and its surrounding elements with the sum of all the elements (Li et al, 2018). The Getis‐Ord Gi* model is used to estimate the spatial agglomeration of similar locations in PLES conflicts, that is, different spatial locations exhibit high‐ and low‐value clusters (Chen et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Dynamic simulation and conflict identification analysis of production–living–ecological space in Wuhan, Central China

Wang

2022

Integr Envir Assess & Manag

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Under the current rapid urbanization and industrialization in China, competition for production, living, and ecological spaces is becoming fierce. Improving production-living-ecological spaces (PLESs) has become a core issue in China's landspace development strategy. In this study, the multiple linear logistic regression (MLLR)-multicriteria evaluation (MCE)cellular automata (CA)-Markov hybrid model was used to predict the land-use pattern for 2030, and the spatial conflict model was established based on landscape indices to measure the evolution characteristics of spatial conflicts. The results demonstrated that, from 2005 to 2030, the production-ecological space (PES) will have front-runner status in Wuhan, followed by the ecological-production space (EPS). In 2005-2015, the living-production space (LPS) and PES occupied large amounts of EPS and ecological space (ES), especially in the main urban areas and near rivers, and the spatial transformation was the most significant. By 2030, there will be less transformation of each space type, but the conversion amount of LPS will still be relatively large. With the passage of time, the LPS will increase, the EPS will decrease slightly, and the ES will fluctuate. During the period 2005-2030, the conflict level will change gradually from seriously out of control to controllable, and the hot spot of PLES will show a scattering distribution. The cold spot area will be distributed mainly in the southern part of Wuhan, which will be expanded greatly by 2030. Our research indicates that analyzing the reasonable utilization of PLES is of great value by identifying spatial conflicts; differentiated sustainable development strategies should be formulated according to the future spatial and temporal patterns of PLES, which can help in scientific judgments on the spatial matching of land use and provide early warnings of spatial conflicts.

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Section: Methodsmentioning

confidence: 99%

Dynamic simulation and conflict identification analysis of production–living–ecological space in Wuhan, Central China

Wang

2022

Integr Envir Assess & Manag

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“…For example, Wu et al argue that settlements in the hilly mountainous areas of Jiangnan tend to be concentrated in the low mountain basins and river valley terraces [ 20 ], Guo and Li suggest that settlements in the Loess Plateau region show strong topographic, river, and transportation orientations [ 21 , 22 ]. Li et al find settlements in the karst mountainous areas of Southwest China mainly clustered along transportation routes [ 23 ], and Yang et al highlight road accessibility's vital role in Guangzhou's rural settlement distribution [ 2 ]. It can be seen that the influencing factors of the spatial pattern of settlements may be different in different regions, and the influential power of the influencing factors is also different.…”

Section: Introductionmentioning

confidence: 99%

Spatial pattern characteristics and influencing factors of mountainous rural settlements in metropolitan fringe area: A case study of Pingnan County, Fujian Province

Chen,

Wang,

Lin

2024

Heliyon

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The evolution rules and the driving mechanisms behind rural settlement in the peak-cluster depressions of Guizhou Province, China, over the past 50 years

Cited by 2 publications

References 0 publications

Dynamic simulation and conflict identification analysis of production–living–ecological space in Wuhan, Central China

Dynamic simulation and conflict identification analysis of production–living–ecological space in Wuhan, Central China

Spatial pattern characteristics and influencing factors of mountainous rural settlements in metropolitan fringe area: A case study of Pingnan County, Fujian Province

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