scholarly journals Land-Use Change and Health Risks in the Process of Urbanization: A Spatiotemporal Interpretation of a Typical Case in Changzhou, China

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 820
Author(s):  
Dongyang Yang ◽  
Chao Ye ◽  
Jianhua Xu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Environmental Pollution ◽  
Environmental Health ◽  
Health Risks ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Land Expansion ◽  
Process Of Urbanization ◽  
The Relationship

China has undergone rapid urban expansion in recent decades. At the same time, environmental pollution and its risk to public health have increased. However, the relationship between urban land-use changes and health is ambiguous and insufficiently understood. Based on a typical city-scale case—namely, Changzhou, China—this research aimed to interpret the evolution of health risks alongside land-use change during the process of urbanization. We gathered data from multiple sources, including population mortality data, socioeconomic data, remote-sensing images, data for the points of interest of enterprises, and relevant information on environmental health events and cancers. The results showed that Changzhou’s urbanization was typical insofar as it was characterized by massive growth in industry, a rapid increase in the urban population, and urban land expansion. Health risks related to environmental pollution increased considerably with urban land expansion over time, and they increased with proximity to the pollution. The results from a generalized linear model confirmed that Changzhou’s urbanization triggered increasing health risks. Our study interpreted the relationship between urban land expansion and health risks from a spatiotemporal perspective. It can be used as a reference for urban planning and policymaking with regard to urban environmental health.

scholarly journals Multi-Scenario Prediction of Intra-Urban Land Use Change Using a Cellular Automata-Random Forest Model

2021 ◽  
Vol 10 (8) ◽  
pp. 503
Author(s):  
Hang Liu ◽  
Riken Homma ◽  
Qiang Liu ◽  
Congying Fang
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Land ◽  
Urban Land Use ◽  
Random Forest Model ◽  
Growth Trend ◽  
Related Factors ◽  
Forest Model

The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land use changes in Kumamoto City from 2018 to 2030: an unconstrained development scenario, and a planning-constrained development scenario that considers disaster-related factors. The random forest was used to calculate the transition probabilities and the importance of driving factors, and cellular automata were used for future land use prediction. The results show that disaster-related factors greatly influence land vacancy, while urban planning factors are more important for medium high-rise residential, commercial, and public facilities. Under the unconstrained development scenario, urban land use tends towards spatially disordered growth in the total amount of steady growth, with the largest increase in low-rise residential areas. Under the planning-constrained development scenario that considers disaster-related factors, the urban land area will continue to grow, albeit slowly and with a compact growth trend. This study provides planners with information on the relevant trends in different scenarios of land use change in Kumamoto City. Furthermore, it provides a reference for Kumamoto City’s future post-disaster recovery and reconstruction planning.

Urban Land Use Change Detection Using Multisensor Satellite Images

Pedosphere ◽  
2009 ◽  
Vol 19 (1) ◽  
pp. 96-103 ◽  
Author(s):  
Jin-Song DENG ◽  
Ke WANG ◽  
Jun LI ◽  
Yan-Hua DENG
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Change Detection ◽  
Satellite Images ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Land Use Change

Effects of Urban Land-Use Change on Biogeochemical Cycles

2007 ◽  
pp. 45-58 ◽  
Author(s):  
Richard V. Pouyat ◽  
Diane E. Pataki ◽  
Kenneth T. Belt ◽  
Peter M. Groffman ◽  
John Hom ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Biogeochemical Cycles ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Land Use Change

scholarly journals Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1227 ◽  
Author(s):  
Bowen Chen ◽  
Changyan Wu ◽  
Xianjin Huang ◽  
Xuefeng Yang
Keyword(s):  
Land Use ◽  
Yangtze River ◽  
Spatial Relationship ◽  
Urban Land ◽  
Sustainable Land Use ◽  
Policy Implications ◽  
The Yangtze River ◽  
Negative Effects ◽  
Urban Land Expansion ◽  
The Relationship

Urban land expansion (ULE) has caused negative effects as a result of urbanization and industrialization in China in the past few decades. Strengthening economic linkage and the cooperation among regions has great implications for effectively controlling disorderly ULE and achieving sustainable and intensive land use. Previous research has rarely investigated the relationship between ULE and economic linkage. Therefore, this study analyzes the spatial patterns of ULE and economic linkage in the Yangtze River Economic Belt (YREB) of China via social network analysis and a gravity model. Moreover, the spatial relationship and coupling level between ULE and economic linkage are investigated by building a bivariate spatial autocorrelation model and a coupling coordination degree model, respectively. The results indicate that the YREB experienced rapid ULE, and the area increased from 4.24 × 104 km2 in 1990 to 7.89 × 104 km2 in 2015. The cities that experience rapid ULE have gradually transferred from the east to the west of the YREB. In addition, the economic linkage in eastern cities is evidently higher than that of western cities. Our bivariate spatial model further proves that there are strong negative spatial correlation characteristics between ULE and economic linkage. This indicates that the higher the economic linkage, the lower the speed of ULE. Moreover, the coupling coordination between ULE and economic linkage show that the overall coupling stage changed from an antagonistic stage to a running-in stage. However, the coupling coordination in the YREB presented significant spatial heterogeneity, and most cities in urban agglomeration had a relationship between ULE and economic linkage that was barely balanced, slightly unbalanced, or seriously unbalanced. By considering the limitations and obstacles of current initiatives, suggestions and policy implications for sustainable land use at large regional scales are suggested.

Sign in / Sign up

Export Citation Format

Share Document