Research on Supply and Demand Non-Equilibrium Depth of Urban Agglomeration Transportation System

CICTP 2017 ◽  
2018 ◽  
Author(s):  
En-Jian Yao ◽  
Tian-Wei Lu
2019 ◽  
Vol 11 (22) ◽  
pp. 6416 ◽  
Author(s):  
Ouyang ◽  
Wang ◽  
Zhu

Coordinating ecosystem service supply and demand equilibrium and utilizing machine learning to dynamically construct an ecological security pattern (ESP) can help better understand the impact of urban development on ecological processes, which can be used as a theoretical reference in coupling economic growth and environmental protection. Here, the ESP of the Changsha–Zhuzhou–Xiangtan urban agglomeration was constructed, which made use of the Bayesian network model to dynamically identify the ecological sources. The ecological corridor and ecological strategy points were identified using the minimum cumulative resistance model and circuit theory. The ESP was constructed by combining seven ecological sources, “two horizontal and three vertical” ecological corridors, and 37 ecological strategy points. Our results found spatial decoupling between the supply and demand of ecosystem services (ES) and the degradation in areas with high demand for ES. The ecological sources and ecological corridors of the urban agglomeration were mainly situated in forestlands and water areas. The terrestrial ecological corridor was distributed along the outer periphery of the urban agglomeration, while the aquatic ecological corridor ran from north to south throughout the entire region. The ecological strategic points were mainly concentrated along the boundaries of the built-up area and the intersection between construction land and ecological land. Finally, the ecological sources were found primarily on existing ecological protection zones, which supports the usefulness of machine learning in predicting ecological sources and may provide new insights in developing urban ESP.


Author(s):  
Batara Surya ◽  
◽  
Emil Salim Rasyidi ◽  
Herminawaty Abubakar ◽  
Muhammad Idris ◽  
...  

Economic growth and urban agglomeration have triggered an increase in the size and mobility of the Metropolitan Mamminasata urban population. This study aims to analyse spatial interactions working as a determinant of connectivity of the transportation system and the growth of suburban areas toward smart and sustainable cities in the Mamminasata Metropolitan urban system and the effects that spatial expansion, spatial integration, urban agglomeration, spatial use, and the transportation system have on population mobility. The research method used is a sequential explanatory design that combines quantitative and qualitative research methods. The results show that the coefficients of determination are as follows: spatial expansion to population mobility – 4.90%, spatial integration to population mobility – 2.99%, spatial interaction to population mobility – 4.87%, urban agglomeration to population mobility – 2.09%, space use to population mobility – 2.64%, and transportation system to population mobility – 5.15%. The results of this study will assist in the formulation of development policies, management of the urban transportation system, and allocation of space utilisation going forward.


2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Z. Y. Liu ◽  
C. B. Li ◽  
M. Y. Jian

In order to study the adaptability of urban agglomeration transport supply and demand structure, and to provide the basis for decision-makers when optimizing the structure of transport supply and demand in urban agglomeration, this paper proposed and verified a structure equilibrium theory on the basis of entropy theory. Firstly, based on the analysis of the influencing factors, an urban agglomeration transport demand structure model was established using entropy theory. Secondly, according to the actual passenger and freight turnover of urban agglomeration, a transport supply structure model was proposed with entropy theory. Then, by comparing the two entropy models, the equilibrium state of an urban agglomeration transport structure was analyzed. Finally, HuBaoOr urban agglomeration was taken as an example to verify the science and effectiveness of this discriminant model. The research in this paper lays a theoretical foundation for the achievement of urban agglomeration transport equilibrium structure and for realizing the best economic benefits and social benefits.


2021 ◽  
Vol 248 ◽  
pp. 02003
Author(s):  
Xie Heng

Jing-Jin-Ji as one of the most serious water shortage areas in China, improving the green efficiency of water resources is the only way to solve the contradiction between supply and demand of water resources and realize the harmonious development of economy, society and ecology. Based on the Super-SBM model and geographical detector model, this paper measures the green water resources efficiency of Jing-Jin-Ji from 2008 to 2018, and analyzes the spatial and temporal differentiation. The result shows that:The efficiency of green water resources in Jing-Jin-Ji fluctuates in an unstable state, and does not reach the DEA effective state, and there is a big gap between the maximum and minimum efficiency of urban agglomeration.


2018 ◽  
Vol 38 (12) ◽  
Author(s):  
王朝 WANG Zhao ◽  
李伟峰 LI Weifeng ◽  
海霞 HAI Xia ◽  
周伟奇 ZHOU Weiqi ◽  
韩立建 HAN Lijian ◽  
...  

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