scholarly journals Analysis and Projection of the Relationship between Industrial Structure and Land Use Structure in China

2014 ◽  
Vol 6 (12) ◽  
pp. 9343-9370 ◽  
Author(s):  
Qin Jin ◽  
Xiangzheng Deng ◽  
Zhan Wang ◽  
Chenchen Shi ◽  
Xing Li
Keyword(s):  
Land Use ◽  
Industrial Structure ◽  
Land Use Structure ◽  
The Relationship

Study on Production and Environmental Factors Based on GMM of Dynamic Panel System

2016 ◽  
Vol 693 ◽  
pp. 1922-1934
Author(s):  
B. Li ◽  
R. Yi ◽  
T. Li
Keyword(s):  
Land Use ◽  
Industrial Structure ◽  
Structure Evolution ◽  
Dynamic Panel ◽  
Urbanization Level ◽  
Industrial Structures ◽  
Intensive Land Use ◽  
The Relationship ◽  
Stimulation Of ◽  
New Urbanization

This paper measured the new urbanization level and the degree of intensive land use in 28 provinces of China from 2006 to 2012 through building index system, and built the economic model by utilizing GMM system to demonstrate the relationship between new urbanization, industrial structure evolution and intensive land use based on panel data. The result indicates that the industrial structure evolution is conducive to intensive land use. The development of new urbanization and the intensive land use generate structural contradictions, but it will promote intensive land use indirectly through stimulation of the industrial structure evolution. At the regional level, new urbanization inhibit the intensive land use in the eastern regions and promote it in the western regions, while the effect in the central region is not significant. Industrial structures in some regions stimulate the intensive land use directly or indirectly.

Relationship between neighborhood land use structure and the spatiotemporal pattern of PM2.5 at the microscale: Evidence from the central area of Guangzhou, China

2021 ◽  
pp. 239980832110078
Author(s):  
Jie Song ◽  
Suhong Zhou ◽  
Yinong Peng ◽  
Jianbin Xu ◽  
Rongping Lin
Keyword(s):  
Land Use ◽  
Regression Tree ◽  
Spatiotemporal Patterns ◽  
Classification And Regression Tree ◽  
Tree Model ◽  
Land Use Structure ◽  
Land Use Types ◽  
Classification And Regression ◽  
The Relationship ◽  
Regression Tree Model

Fine particulate matter (PM2.5) is harmful to human health. Although the relationship between urban land use and PM2.5 has been studied in recent years, there has been little consideration of the relationship between land use structure and PM2.5 spatiotemporal patterns at the microscale. Based on mobile monitoring PM2.5 data and point of interest data, this paper explored their relationship with a classification and regression tree model. The results showed that PM2.5 exhibits spatiotemporal heterogeneity at the microscale. The neighborhoods’ land use structure can explain 60.4% of the PM2.5 spatiotemporal patterns. Transportation and ecology are the two most significant land use types that correlated with PM2.5 spatiotemporal patterns. Fourteen rules of neighborhood land use structures with different land use types are identified land use structure which leads to different spatiotemporal patterns of PM2.5. The higher the PM2.5 risk, the stronger the correlation with neighborhood land use structure is. The classification and regression tree model can be effectively used to judge the relationship between neighborhood land use structure and PM2.5 spatiotemporal patterns. The results provide a basis for developing appropriate measures, based on local conditions, to predict PM2.5 pollution levels at the microscale, and reduce the risk of neighborhood exposure to PM2.5.

scholarly journals Optimization of Land Use Structure in the Republic of Moldova on the Basis of the Method of Ecological-Economic Balance of the Territory

2018 ◽  
Vol 12 (1) ◽  
pp. 239-247
Author(s):  
Ivan Kapitalchuk
Keyword(s):  
Land Use ◽  
Republic Of Moldova ◽  
Land Use Structure ◽  
Its Regions ◽  
Economic State ◽  
Natural Protection ◽  
The Republic ◽  
Economic Balance ◽  
High Degree ◽  
The Relationship

Abstract The problem of the ecological and economic organization of the territory of the Republic of Moldova and its regions is considered. The assessment of the intensity of the ecological and economic state of the country's territory was carried out and the possibility of optimizing the structure of land use on the basis of improving the balance of various types of land use was shown. It is established that a characteristic feature of the land use structure in Moldova is the dominance of lands with a high anthropogenic load, which occupy 64 % of the country's territory. The indicators of the ecological and economic state of the territory of the country and its regions for the current land use structure and for the proposed variant of its optimization are calculated. The relationship between the relative coefficient of tension of the ecological and economic state and the coefficient of natural protection of the territory is revealed. It is shown that the land use structure developed in Moldova caused a high degree of tension in the ecological and economic state of its territory, which can be reduced by 1.3-2.7 times when implementing the proposed measures.

scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

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