Spatiotemporal Evolution Analysis of Population Distribution in the Metropolitan Areas of the Three Central Cities in the Yellow River Basin

Meiqi Sun

doi:10.62051/ijnres.v5n2.07

Authors

Meiqi Sun

DOI:

https://doi.org/10.62051/ijnres.v5n2.07

Keywords:

Yellow River Basin, Metropolitan Area, Population Distribution, Spatiotemporal Evolution.

Abstract

Based on the worldpop population density data, this paper compares and studies the spatial distribution and change characteristics of population in the Yellow River Basin metropolitan area since 2000, and takes the three central urban metropolitan areas of Zhengzhou, Xi'an and Jinan as examples to analyze the characteristics of population distribution change within the metropolitan area. The results show that from 2000 to 2020, there was no significant change in the population distribution pattern of the metropolitan area in the basin, and the distribution of population density showed the pattern characteristics of "high in the southeast and low in the northwest", mainly concentrated in the middle and lower reaches of the basin, and showed a decreasing trend from the downstream to the middle to the upstream. (2) The steady population growth and rapid growth areas are mainly concentrated in the metropolitan areas of Xi'an, Zhengzhou and Jinan, while the population density of the metropolitan areas of Xining, Yinchuan, Hohhot and Lanzhou in the upstream areas is significantly low, and the surrounding areas of the central city show the phenomenon of population growth stagnation and a large number of agglomeration of shrinkage areas. (3) From 2000 to 2020, the maximum population density in the metropolitan area of the three central cities continued to increase, and the trend of expansion from the central city to the surrounding cities showed in the metropolitan area, indicating that the population distribution was gradually moving towards equilibrium.

References

[1] Yi Chengdong, Zeng Shi'an Research on the collaborative governance of carbon emissions in metropolitan area under the goal of "dual carbon"[J].Journal of the Party School of the Central Committee of the Communist Party of China (National Academy of Administration) 2023, 27(01): 96-104.

[2] Jiang Tuanbiao, Zhu Benhui, Liu Yixiao. Spatiotemporal evolution of population distribution and influencing factors in the Pearl River-Xijiang Economic Belt[J]. South China Population, 2020, 35(04): 57-67.

[3] Peter Geoffrey Hall. The World Cities[M]. Palgrave Macmillan, 1984.

[4] None. Dynamics of urban development:(Edited by L.H.Klaassen,W. T. M. Molle and J. H. P. Paelinck), St. Martin's Press, 1975 Fifth Avenue, New York, NY 10010, U. S. A. 267 pp. $30.00[J]. Transportation Research Part A General, 1982, 16(5-6): 467.

[5] Clark C. Urban population densities[J]. Journal of the Royal Statistical Society.Series A (General), 1951, 114(4): 490-496.

[6] Li J, Ryohei Nakamura. A review of urban spatial population density model[J]. Urban Planning Abroad, 2006(01): 40-47.

[7] Gao Xuemei, Yang Xuchao, Chen Bairu, et al. Population spatialization simulation in Bohai Rim region based on random forest model[J]. Journal of Geo-information Science, 2022, 24(6): 1150-1162.

[8] Liu Yi, Yang Xinjia, Liu Jinsong. Experimental study on population density model optimization based on random forest[J]. (Journal of Global Change Data & Discovery, 2020, 4(04): 402-416+402-416.

[9] Lin Danchun, Tan Min, Liu Kai, et al. Accuracy Evaluation of Spatial Distribution Dataset of Representative Population: A Case Study of Guangdong Province in 2010[J]. Tropical Geography, 2020, 40(02): 346-356.

[10] Li Guoping, Chen Xiuxin. Characteristics of population growth in Beijing-Tianjin-Hebei metropolitan area and its interpretation[J]. Geographical Research, 2009, 28(01): 191-202.

[11] Wu Wenyu., Gao Xiangdong. Research progress and prospect of urban population density distribution model in China[J]. Progress in Geography, 2010, 29(08): 968-974.

[12] Du Guoming, Yu Fengrong, Zhang Shuwen.Simulation and pattern analysis of spatial distribution of urban population: A case study of Shenyang City[J].Journal of Geo-information Science,2010,12(01):34-39.