Evaluating Urban Agglomeration Resilience to Disaster in the Yangtze Delta City Group in China

2021 ◽  
pp. 103464
Author(s):  
Hao Lu ◽  
Xin Lu ◽  
Liudan Jiao ◽  
Yu Zhang
2019 ◽  
Vol 11 (2) ◽  
pp. 544 ◽  
Author(s):  
Ling Zhang ◽  
He Wang ◽  
Yan Song ◽  
Haizhen Wen

This study investigates the spatial dependence of house prices in the Yangtze Delta Urban Agglomeration since the year 2000. According to Moran’s I index and the LISA scatter plot derived from a cross-section data set, the spatial dependence of house prices can be traced across the 25 cities in the agglomeration and became more evident after 2005. This study develops a spatial panel model with geographical distance and economic distance weight matrices. Spatial effects significantly influenced house prices in both cases but the intensity of the former was weaker than for the latter. Income, proportion of the tertiary industry, and amenity exhibited significant indirect effects on house prices in other cities in the inner region of the agglomeration, while competition of population between cities with economic proximity exerted negative indirect effects. Furthermore, urban industrial structure, innovation capability, and urbanization degree revealed differences in terms of spatial dependence among various city groups.


2013 ◽  
Vol 448-453 ◽  
pp. 341-348 ◽  
Author(s):  
Shi Hong Cen ◽  
Xiao Yan Song ◽  
Long Yi Shao ◽  
Bing Yan ◽  
Yan Li Wu ◽  
...  

This paper analyses the microstructure of different types of particles in PM10in Beijing-Tianjin-Tangshan urban agglomeration atmosphere in spring and summer by using field emission scanning electron microscopy (FESEM), in which the distribution characteristics of the size and number of the different types of particles in PM10are specifically analyzed by using image analysis software. The research result shows that the types of particles in Beijing-Tianjin-Tangshan urban agglomeration atmosphere are unknown particles, soot aggregates, mineral particles and spherical particles. According to the proportion of the three partials in the atmosphere, the three cities ranks as follows: in the aspect of unknown particles, Tianjin ranks first, which is followed by Tangshan and Beijing; in the aspect of soot aggregates, Tangshan ranks first ,which is followed by Beijing and Tianjin; in the aspect of mineral particles, Beijing ranks first ,which is followed by Tangshan and Tianjin; in the aspect of spherical particles, Beijing ranks first ,which is followed by Tangshan and Tianjin;


Author(s):  
Fengjian Ge ◽  
Guiling Tang ◽  
Mingxing Zhong ◽  
Yi Zhang ◽  
Jia Xiao ◽  
...  

Urban agglomerations have gradually formed in different Chinese cities, exerting great pressure on the ecological environment. Ecosystem health is an important index for the evaluation of the sustainable development of cities, but it has rarely been used for urban agglomerations. In this study, the ecosystem health in the middle reaches of the Yangtze River Urban Agglomeration was assessed using the ecosystem vigor, organization, resilience, and services framework at the county scale. A GeoDetector was used to determine the effects of seven factors on ecosystem health. The results show that: (1) The spatial distribution of ecosystem health differs significantly. The ecosystem health in the centers of Wuhan Metropolis, Changsha–Zhuzhou–Xiangtan City Group, and Poyang Lake City Group is significantly lower than in surrounding areas. (2) Temporally, well-level research units improve gradually; research units with relatively weak levels remain relatively stable. (3) The land use degree is the main factor affecting ecosystem health, with interactions between the different factors. The effects of these factors on ecosystem health are enhanced or nonlinear; (4) The effect of the proportion of construction land on ecosystem health increases over time. The layout used in urban land use planning significantly affects ecosystem health.


2020 ◽  
Vol 194 ◽  
pp. 05044
Author(s):  
Zhi Jing

.This paper simulates the economic gravitation between 14 prefecture level cities of Liaoning province by gravity model, and achieves data visualization through ArcMap and Ucinet . It is concluded that the central city group of Liaoning is composed of Shenyang, Liaoyang, Benxi, Anshan, Fushun and Tieling.The southern city group of Liaoning is composed of Dalian, Yingkou, Panjin, Huludao and Jinzhou.


2013 ◽  
Vol 12 (12) ◽  
pp. 2331-2337
Author(s):  
Wenpo Shan ◽  
Haixia Lu ◽  
Pengyan Liu ◽  
Zhanchen Li ◽  
Da Lu ◽  
...  

2011 ◽  
Vol 31 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ruihu ZHANG ◽  
Jianlei XIE ◽  
Tao LIU ◽  
Baocheng ZHAO

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