黄河上游兰西城市群人口时空特征多维透视

doi:10.18402/resci.2020.03.06

Abstract

Abstract:

Clarifying the spatial and temporal change characteristics of regional population is helpful for promoting high-quality population agglomeration. Based on the multi-source data and by using the population gravity center method, standard deviation ellipse, population structure index, population-land distribution consistency coefficient, spatial autocorrelation analysis, and GIS spatial statistical analysis, this study analyzed the spatial-temporal characteristics of population distribution in the Lanzhou-Xining (Lan-Xi) urban agglomeration at different scales (urban agglomeration, county, township (town), and grid). The results show that: (1) The scale of population of the Lan-Xi urban agglomeration is small, population mobility is limited, urbanization level is very low, and the growth rates of population and urbanization is very slow. (2) During the study period of 2000-2017, the population gravity center moved westward slightly, and the population showed a northwest-southeast distribution pattern and formatted a core-periphery spatial structure. Lanzhou, Xining, and Linxia are the three population concentration centers, and Lanzhou has the “siphon effect” of population concentration. The population distribution is higher in the central and southern parts and lower in the northern part of Gansu Province, while in Qinghai Province the population distribution decreases outward concentrically from Xining. (3) Altitude is the main topographic factor which influences the vertical distribution pattern of population. The population is mainly concentrated in the valley basins with an altitude of less than 2400 m, indicating that the vertical gradient effect and basin agglomeration are obvious. The spatial-temporal characteristics of population distribution were analyzed from different perspectives and at different scales, so that the research results and corresponding countermeasures and recommendations can provide a scientific basis for promoting the spatial layout optimization of population distribution.

Key words: population, spatiotemporal characteristics, distribution pattern of agglomerations, vertical distribution pattern, upper reaches of the Yellow River, Lanzhou-Xining (Lan-Xi) urban agglomeration

LUO Jun, SHI Peiji, ZHANG Xuebin. Spatiotemporal characteristics of population distribution in the upper reaches of the Yellow River：A multi-dimensional approach in the Lanzhou-Xining urban agglomeration[J].Resources Science, 2020, 42(3): 474-485.

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年份	2010年	2011年	2012年	2013年	2014年	2015年	2016年	2017年
基尼系数（G）	0.6199	0.6199	0.6193	0.6207	0.6200	0.6275	0.6424	0.6397
非均衡指数（U）	0.0088	0.0088	0.0088	0.0088	0.0088	0.0088	0.0090	0.0090
集中指数（C）	0.4330	0.4330	0.4324	0.4330	0.4331	0.4397	0.4521	0.4476

指数范围	类型	县域单元
H< 0.5	土地极化型	海晏县、共和县、贵德县、贵南县、同仁县、尖扎县、景泰县
0.5≤ H< 0.8	土地超前型	永登县、循化县、化隆县、靖远县、湟源县、永靖县、皋兰县
0.8≤ H≤ 1.2	人地协调型	平川区、乐都区、互助县、榆中县、大通县
1.2<H≤ 2	人口超前型	安定区、平安区、渭源县、临洮县、湟中县、陇西县、民和县、东乡县、白银区
H >2	人口极化型	红古区、积石山县、西固区、七里河区、城中区、城北区、临夏市、安宁区、城东区、城西区、城关区

分级	高程范围/m	高程分级面积占总面积比重/%	坡度范围/°	坡度分级面积占总面积比重/%	高程分级的人口密度/（人/km²）	坡度分级的人口密度/（人/km²）	高程分级的人口数量/人	坡度分级的人口数量/人
I	≤ 1800	11.63	≤ 3	8.95	254.83	130.55	2854351	1126516
II	（1800, 2100]	16.65	（3, 6]	13.71	149.98	122.05	2408229	1614233
Ⅲ	（2100, 2400]	15.31	（6, 9]	13.01	202.25	114.61	2982783	1438699
IV	（2400, 2750]	10.77	（9, 15]	22.50	146.97	117.18	1524079	2542923
V	（2750, 3050]	10.10	（15, 21]	16.67	71.52	125.67	695604	2021276
VI	（3050, 3300]	11.89	（21, 27]	11.54	36.18	128.04	414297	1425341
Ⅶ	（3300, 3550]	9.81	（27, 35]	8.91	35.06	114.75	331317	986391
Ⅷ	（3550, 3850]	7.75	（35, 43]	3.65	35.53	109.91	265409	386773
Ⅸ	（3850, 4250]	4.63	（43, 50]	0.91	32.24	104.82	143694	92346
Ⅹ	>4250	1.46	>50	0.16	16.10	94.39	22637	1416

Spatiotemporal characteristics of population distribution in the upper reaches of the Yellow River：A multi-dimensional approach in the Lanzhou-Xining urban agglomeration

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