Spatial Patterns of the Urban Agglomeration of the Yellow River Ji-Shaped Bend Based on Space of Multiple Flows

Previous studies on the space of flows have mainly focused on a single flow element and have given less consideration to the joint effect of complex correlations among multiple flows. To fill this gap, in the context of the coordinated development of the urban agglomeration of the Yellow River Ji-shaped bend (UAYB), in this study, three flows, namely population flow, logistics flow, and information flow, are selected to research the spatial patterns of the UAYB. The results show the following: (1) The information flow among cities in the UAYB is the strongest, followed by logistics flow and population flow. (2) Hohhot, Ordos, Yinchuan, and Taiyuan are the core cities and have attracted more flows to converge there; different flows have formed different central features. (3) Regarding the correlation of the three flows, information flow has a strong correlation with the other two flows. (4) From the perspective of the joint effects of the three flows considered, the hierarchy of UAYB is dominated by Hohhot and Taiyuan and sub-dominated by Yinchuan and Ordos; four prominent city groups have been formed with these four cities as the center. On the basis of our results, we put forward some recommendations on the integrated development of cities at various levels within the UAYB to provide a reference for its spatial optimization strategy.

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Spatiotemporal evolution of water use efficiency in water conservation areas in the upper reaches of the Yellow River: A case study of the Lanzhou-Xining urban agglomeration

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/768/5/052080 ◽

2020 ◽

Vol 768 ◽

pp. 052080

Author(s):

Pei Li ◽

Peiji Shi

Keyword(s):

Water Use Efficiency ◽

Water Use ◽

Water Conservation ◽

Yellow River ◽

Urban Agglomeration ◽

The Yellow River ◽

Spatiotemporal Evolution ◽

Conservation Areas ◽

Use Efficiency

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The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data

Sustainability ◽

10.3390/su13084220 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4220

Author(s):

Jingtao Wang ◽

Haibin Liu ◽

Di Peng ◽

Qian Lv ◽

Yu Sun ◽

...

Keyword(s):

Economic Development ◽

Spatial Pattern ◽

Yellow River ◽

Yellow River Basin ◽

Urban Agglomeration ◽

The Yellow River ◽

Urban Agglomerations ◽

Development Level ◽

The Yellow River Basin ◽

County Scale

The integrated night light (NTL) datasets were used to represent the economic development level, and visual analysis was carried out on the evolution characteristics of the economic spatial pattern of various urban agglomerations in the Yellow River Basin (YRB), at a county-scale, in 1992, 2005, and 2018. The Global Moran’s I and the local Getis-Ord G methods were used to explore the overall spatial correlation and local cold–hot spot of economic development levels, respectively. The spatial heterogeneity of the influence of relevant factors on the economic development level at the municipal scale was analyzed by using the multi-scale geographically weighted regression (MGWR) model. The results show that the county-level economic spatial pattern of urban agglomeration in the YRB has an obvious “pyramid” characteristic. The hot spots are concentrated in the hinterland of the Guanzhong Plain, the Central Plains, and the Shandong Peninsula urban agglomeration. The cold spots are concentrated in the junction of urban agglomerations, and the characteristics of “cold in the west and hot in the east” are obvious. Labor input and import and exporthave a positive impact on the economic development level for each urban agglomeration, government force has a negative impact, and education shows both positive and negative polarization on economic development.

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Thoughts on Jinan's Establishment of the National Central City of China's Yellow River Basin

Urban Transportation & Construction ◽

10.18686/utc.v6i2.81 ◽

2020 ◽

Vol 6 (2) ◽

pp. 21

Author(s):

Zhe Zhang ◽

Xiaochang Chu

Keyword(s):

River Basin ◽

Yellow River ◽

Municipal Government ◽

Central City ◽

Yellow River Basin ◽

Urban Agglomeration ◽

The Yellow River ◽

Central Cities ◽

The Yellow River Basin ◽

The Impact

<p>The national central city is not a single existence, and it must be based on the national-level urban agglomeration. At the same time, it must have superior geographical advantages and rich natural resources as the basis for development. Urban agglomeration promotes national central cities; on the contrary, national central cities can also drive the common development of urban agglomerations. During the National People’s Congress and National Committee of the Chinese People’s Political Consultative Conference this year, Jinan Municipal Government proposed to create a national central city in the Yellow River Basin as the development goal. In this article, the measures taken by Jinan Municipal Government to create the national central city of the Yellow River Basin are put forward, and the impact of the surrounding urban agglomeration on the development of Jinan is pointed out. Meanwhile, the opportunities and challenges that Jinan will bring to the surrounding urban agglomeration by establishing the national central city are elaborated.</p>

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Research on the Hierarchical Spatial Structure of the Urban Agglomeration of the Yellow River Ji-Shaped Bend

Complexity ◽

10.1155/2021/2293524 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Fang Wang ◽

Mengyao Guo ◽

Xi Guo ◽

Fangqu Niu

Keyword(s):

Big Data ◽

Spatial Structure ◽

Yellow River ◽

Urban Agglomeration ◽

Policy Implications ◽

The Yellow River ◽

Coordinated Development ◽

The Core ◽

Development Level ◽

Space Of Flows

Despite the rising interest in understanding the various uses of space of flows, few studies have combined the traditional static urban development level with dynamic space of flows concepts. In the context of the coordinated development of the urban agglomeration of the Yellow River Ji-shaped bend (UAYB), this study identifies the hierarchical spatial structure of the UAYB through a combination of Baidu migration big data and traditional data. The following conclusions can be drawn. (1) The cities with the strongest regional comprehensive power are Ordos, Taiyuan, Hohhot, Yinchuan, and Yulin, which cause the UAYB to present a significant “center-periphery” spatial pattern. (2) The biggest population flows mostly occur between cities in the same province, while interprovincial population flows mainly exist between cities with the strongest comprehensive power. (3) The hierarchical spatial structure of the UAYB forms a multitree structure, with Ordos as the core. (4) The attractiveness of the UAYB is very weak, being only slightly attractive to individual surrounding provinces, while the population outflow index to economically developed areas is high. Several policy implications are proposed, which can provide important insights for planning intercity connections among the UAYB, in order to achieve more coordinated regional development.

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