基于灯光数据的京津冀城市多标度异速分析

doi:10.18306/dlkxjz.2019.01.008

Abstract

Abstract:

The spatial-temporal evolution of urban systems is a complex scale-free dynamic process, which can be described quantitatively by allometric scaling index. In this study, the multi-scaling allometric analysis method was employed to analyze the relative development characteristics and the spatial heterogeneity pattern of the main cities in the Beijing-Tianjin-Hebei region based on the calibration results of the nighttime light data from 1992 to 2013. The main findings are as follows: 1) The limitations on spatial development of big cities in the Beijing-Tianjin-Hebei region were increasing. Although the absolute development levels of big cities such as Beijing, Tianjin, and Tangshan were higher than medium-sized and small cities, large cities were close to the limit of environmental carrying capacity; smaller cities such as Sanhe, Qian'an, and Langfang had grown rapidly in the 22 years. 2) Cities with relatively high growth advantage show a zonal distribution from northeast to southwest. These small cities are located in the space between the big cities. Two principal conclusions can be drawn as below: 1) The trend of urban change in Beijing, Tianjin, and Hebei is relatively balanced. Heterogeneity of the spatial structure has gradually weakened, and the development of the whole urban system tends to evolve into a relatively homogeneous state. 2) The key of spatial optimization in the Beijing-Tianjin-Hebei region is to unify the two extremes of cites. The large cities with absolute high development levels and the small cities with relatively high growth rates should be integrated into a self-organized framework. The nighttime light data can be used to characterize the allometric scaling relations between elements of urban systems and to explain the formation mechanism of spatial heterogeneity.

Key words: urban system, nighttime light data, allometric scaling, fractal, fractal dimensions, Beijing-Tianjin-Hebei region

Yuqing LONG, Yanguang CHEN. Multi-scaling allometric analysis of the Beijing-Tianjin-Hebei urban system based on nighttime light data[J].PROGRESS IN GEOGRAPHY, 2019, 38(1): 88-100.

Figures/Tables 9

Fig.1

Tab.1

Fig.2

Fig.3

Tab.2

Tab.3

Tab.4

Multi-scaling allometric (MSA) analysis results of urban nighttime light area and index in the Beijing-Tianjin-Hebei region, 1992-2013"

城市	基于灯光面积				基于灯光指数
城市	ASI	RRG	Q_c/km²	R²	ASI	RRG	Q_c/10³	R²
北京	0.0166	0.0476	5584.3345	0.8516	0.0150	0.0481	629.5157	0.8130
天津	0.0202	0.0587	3299.6355	0.8990	0.0190	0.0599	336.9200	0.8615
石家庄	0.0154	0.0459	831.4278	0.7816	0.0147	0.0489	88.9824	0.7287
辛集	0.0387	0.1895	41.4513	0.6432	0.0394	0.2174	3.0537	0.6061
藳城	0.0369	0.2878	33.9766	0.3728	0.0402	0.3461	2.2959	0.3952
晋州	0.0405	0.1718	25.7266	0.7397	0.0421	0.1964	1.5818	0.7313
新乐	0.0319	0.0938	23.0870	0.8165	0.0353	0.1166	1.4206	0.7622
鹿泉	0.0295	0.1160	88.6341	0.7006	0.0309	0.1277	5.8084	0.6926
唐山	0.0192	0.0540	829.8382	0.9298	0.0171	0.0546	81.8007	0.8869
遵化	0.0369	0.1188	43.4224	0.9021	0.0373	0.1376	3.0685	0.8905
迁安	0.0491	0.1320	73.9027	0.9555	0.0467	0.1400	4.9919	0.9564
秦皇岛	0.0196	0.0530	407.9582	0.9154	0.0171	0.0507	41.4006	0.8859
邯郸	0.0121	0.0472	1330.7037	0.5569	0.0128	0.0516	125.1351	0.5113
武安	0.0283	0.1224	367.8588	0.4652	0.0285	0.1280	26.7679	0.4807
邢台	0.0206	0.0567	252.1434	0.8866	0.0188	0.0597	24.1521	0.8073
南宫	0.0117	0.0552	38.9206	0.3771	0.0125	0.0642	2.6878	0.3725
沙河	0.0466	0.2699	34.0733	0.5405	0.0478	0.3192	2.3890	0.4936
保定	0.0179	0.0503	359.9242	0.8046	0.0165	0.0520	38.6227	0.7722
涿州	0.0216	0.0761	99.2396	0.7002	0.0214	0.0812	8.4591	0.6758
定州	0.0221	0.0739	46.4907	0.7862	0.0257	0.0909	3.1522	0.7313
安国	0.0631	0.2981	7.9561	0.6382	0.0671	0.4004	0.4567	0.6235
高碑店	0.0312	0.1184	54.6144	0.8716	0.0307	0.1289	4.3387	0.8104
张家口	0.0160	0.0548	439.9350	0.8609	0.0140	0.0552	43.4514	0.7852
承德	0.0258	0.0829	89.3341	0.9621	0.0226	0.0798	7.9165	0.9543
沧州	0.0164	0.0510	235.3047	0.8839	0.0146	0.0519	23.8490	0.8106
泊头	0.0164	0.0556	67.1015	0.6630	0.0167	0.0650	5.4462	0.6144
任丘	0.0099	0.0315	198.0287	0.5734	0.0132	0.0468	18.7365	0.5328
黄骅	0.0311	0.1297	44.7231	0.7627	0.0332	0.1683	3.6201	0.6676
河间	0.0222	0.0739	49.9423	0.8193	0.0226	0.0851	4.1394	0.7132
廊坊	0.0335	0.1099	222.6302	0.7558	0.0315	0.1070	20.5950	0.7549
霸州	0.0580	0.2312	104.7807	0.6843	0.0564	0.2400	7.6541	0.6788
三河	0.0605	0.2311	116.1876	0.8032	0.0592	0.2531	8.4994	0.7650
衡水	0.0205	0.0592	129.4754	0.7677	0.0198	0.0622	12.1906	0.7364
冀州	0.0286	0.1161	33.3075	0.4145	0.0289	0.1264	2.2059	0.4301
深州	0.0317	0.1082	17.2473	0.7486	0.0311	0.1111	0.9733	0.7654

Tab.4

Fig.4

Fig.5

References 36

[1]	曹迎春, 张玉坤. 2015. 河北省城镇体系规模结构及异速生长关系研究[J]. 干旱区资源与环境, 29(1):13-18.
	Cao Y C, Zhang Y K.2015. The scale structure and allometric growth of the urban systems in Hebei Province. Journal of Arid Land Resources and Environment, 29(1): 13-18. ]
[2]	曹子阳, 吴志峰, 匡耀求, 等. 2015. DMSP/OLS夜间灯光影像中国区域的校正及应用[J]. 地球信息科学学报, 17(9): 1092-1102. doi: 10.3724/SP.J.1047.2015.01092
	[Cao Z Y, Wu Z F, Kuang Y Q, et al.2015. Correction of DMSP/OLS night-time light images and its application in China. Journal of Geo-information Science, 17(9): 1092-1102. ] doi: 10.3724/SP.J.1047.2015.01092
[3]	常静, 李雪铭. 2004. 修正后的城市系统异速生长方程实证研究: 以大连市为例[J].地理科学, 24(4): 406-412.
	[Chang J, Li X M.2004. Modification of urban allometric growth and Cobb-Douglas function: A case of Dalian. Scientia Geographica Sinica, 24(4): 406-412. ]
[4]	陈涛. 1995. 豫北地区城镇体系的分形研究 [D]. 长春: 东北师范大学.
	[Chen T.1995. Studies on fractal systems of towns in the central plains. Changchun, China: Northeast Normal University. ]
[5]	陈彦光. 2008. 分形城市系统: 标度、对称和空间复杂性 [M]. 北京: 科学出版社.
	[Chen Y G.2008. Fractal urban systems: scaling, symmetry, and spatial complexity . Beijing, China: Science Press. ]
[6]	陈彦光. 2013. 城市异速标度研究的起源、困境和复兴[J]. 地理研究, 32(6): 1033-1045.
	[Chen Y G.2013. The rise, fall, and revival process of allometric scaling analysis in urban studies. Geographical Research, 32(6): 1033-1045. ]
[7]	陈彦光. 2015. 简单、复杂与地理分布模型的选择[J]. 地理科学进展, 34(3): 321-329.
	[Chen Y G.2015. Simplicity, complexity, and mathematical modeling of geographical distributions. Progress in Geography, 34(3): 321-329. ]
[8]	陈彦光, 王永洁. 1997. 城镇体系相关作用的分形研究[J]. 科技通报, 13(4): 233-237.
	[Chen Y G, Wang Y J.1997. A fractal study on interaction between towns in urban systems. Bulletin of Science and Technology, 13(4): 233-237. ]
[9]	陈彦光, 张莉. 2014. 信阳城市人口-城区用地异速生长分析[J]. 地理科学进展, 33(8): 1058-1067. doi: 10.11820/dlkxjz.2014.08.006
	[Chen Y G, Zhang L.2014. An allometric analysis of the scaling relations between urban area and population of Xinyang. Progress in Geography, 33(8): 1058-1067. ] doi: 10.11820/dlkxjz.2014.08.006
[10]	董磊, 王浩, 赵红蕊. 2017. 城市范围界定与标度律[J]. 地理学报, 72(2): 213-223.
	[Dong L, Wang H, Zhao H R.2017. The definition of city boundary and scaling law. Acta Geographica Sinica, 72(2): 213-223. ]
[11]	古杰, 陈忠暖, 张少伟. 2010. 中国中部六省城乡人口异速生长过程分析[J]. 云南地理环境研究, 22(4): 13-19.
	[Gu J, Chen Z N, Zhang S W.2010. An allometric analysis of six provinces' urbanization in middle China. Yunnan Geographic Environment Research, 22(4): 13-19. ]
[12]	李郇, 陈刚强, 许学强. 2009. 中国城市异速增长分析[J]. 地理学报, 64(4): 399-407.
	[Li X, Chen G Q, Xu X Q.2009. Urban allometric growth in China: Theory and facts. Acta Geographica Sinica, 64(4): 399-407. ]
[13]	梁进社, 王旻. 2002. 城市用地与人口的异速增长和相关经验研究[J]. 地理科学, 22(6): 649-654.
	[Liang J S, Wang M.2002. The allometric growth of urban land use and population and its experiential research. Scientia Geographica Sinica, 22(6): 649-654. ]
[14]	刘浩, 马琳, 李国平. 2016. 1990s以来京津冀地区经济发展失衡格局的时空演化[J]. 地理研究, 35(3): 471-481.
	[Liu H, Ma L, Li G P.2016. Spatial-temporal evolution pattern of unbalanced economic development in Beijing-Tianjin-Hebei region since the 1990s. Geographical Research, 35(3): 471-481. ]
[15]	刘继生, 陈彦光. 2000. 长春地区城镇体系时空关联的异速生长分析: 1949-1988[J]. 人文地理, 15(3): 6-12.
	[Liu J S, Chen Y G.2000. An allometric analysis of the Changchun system of towns: 1949-1988. Human Geography, 2000, 15(3): 6-12.]
[16]	陆大道. 2015. 京津冀城市群功能定位及协同发展[J]. 地理科学进展, 34(3): 265-270.
	[Lu D D.2015. Function orientation and coordinating development of subregions within the Beijing-Tianjin-Hebei urban agglomeration. Progress in Geography, 34(3): 265-270. ]
[17]	舒松, 余柏蒗, 吴健平, 等. 2011. 基于夜间灯光数据的城市建成区提取方法评价与应用[J]. 遥感技术与应用, 26(2): 169-176.
	[Su S, Yu B L, Wu J P, et al.2011. Methods for deriving urban built-up area using night-light data: Assessment and application. Remote Sensing Technology and Application, 26(2): 169-176. ]
[18]	王慧娟, 兰宗敏, 金浩, 等. 2017. 基于夜间灯光数据的长江中游城市群城镇体系空间演化研究[J]. 经济问题探索, 38(3): 107-114.
	[Wang H J, Lan Z M, Jin H, et al.2017. The spatial evolution of urban system in the middle reaches of Yangtze River using DMSP/OLS nighttime light data. Inquiry into Economic Issues, 38(3): 107-114. ]
[19]	杨眉, 王世新, 周艺, 等. 2011. 基于DMSP/OLS影像的城市化水平遥感估算方法[J]. 遥感信息, 26(4): 100-106.
	[Yang M, Wang S X, Zhou Y, et al.2011. A method of urbanization level estimation using DMSP/OLS imagery. Remote Sensing Information, 26(4): 100-106. ]
[20]	杨洋, 黄庆旭, 章立玲. 2015. 基于DMSP/OLS夜间灯光数据的土地城镇化水平时空测度研究: 以环渤海地区为例[J]. 经济地理, 35(2): 141-148.
	[Yang Y, Huang Q X, Zhang L L.2015. The spatial-temporal measurement on the land urbanization level using DMSP/OLS nighttime light data: A case study of Bohai Rim. Economic Geography, 35(2): 141-148. ]
[21]	杨洋, 李雅静, 何春阳, 等. 2016. 环渤海地区三大城市群城市规模分布动态比较: 基于1992-2012年夜间灯光数据的分析和透视[J]. 经济地理, 36(4): 59-69.
	[Yang Y, Li Y J, He C Y, et al.2016. A comparative study on spatiotemporal dynamics of city size distribution among three urban agglomeration in Bohai Rim: Based on the analysis and perspective of nighttime light data from 1992 to 2012. Economic Geography, 36(4): 59-69. ]
[22]	周一星. 1995. 城市地理学 [M]. 北京: 商务印书馆.
	[Zhou Y X.1995. Urban geography . Beijing,China: The Commercial Press. ]
[23]	Batty M.2008. The size, scale, and shape of cities[J]. Science, 319: 769-771. doi: 10.1126/science.1151419
[24]	Beckmann M J.1958. City hierarchies and distribution of city sizes[J]. Economic Development and Cultural Change, 6(3): 243-248. doi: 10.1086/449769
[25]	Bertalanffy L.1968. General system theory: Foundations, development, and applications[M]. New York: George Braziller.
[26]	Chen Y G.2017. Multi-scaling allometric analysis for urban and regional development[J]. Physica A, 465: 673-689. doi: 10.1016/j.physa.2016.08.008
[27]	Chen Y G, Jiang S G.2009. An analytical process of the spatio-temporal evolution of urban systems based on allometric and fractal ideas[J]. Chaos, Solitons & Fractals, 39(1): 49-64.
[28]	Lee Y.1989. An allmetric analysis of the US urban system: 1960-80[J]. Environment and Planning A, 21(4): 463-476. doi: 10.1068/a210463
[29]	Li R Q, Dong L, Zhang J, et al.2017. Simple spatial scaling rules behind complex cities[J]. Nature Communications, 8(1): 1841. doi: 10.1038/s41467-017-01882-w
[30]	Lo C P.2002. Urban indicators of China from radiance-calibrated digital DMSP-OLS nighttime images[J]. Annals of the Association of American Geographers, 92(2): 225-240. doi: 10.1111/1467-8306.00288
[31]	Lo CP, Welch R.1977. Chinese urban population estimates[J]. Annals of the Association of American Geographers, 67(2): 246-253. doi: 10.1111/j.1467-8306.1977.tb01137.x
[32]	Lu D S, Tian H Q, Zhou G M, et al.2008. Regional mapping of human settlements in southeastern China with multisensor remotely sensed data[J]. Remote Sensing of Environment, 112(9): 3668-3679. doi: 10.1016/j.rse.2008.05.009
[33]	Milesi C, Elvidge C D, Nemani R R, et al.2003. Assessing the impact of urban land development on net primary productivity in the Southeastern United States[J]. Remote Sensing of Environment, 86(3): 401-410. doi: 10.1016/S0034-4257(03)00081-6
[34]	Naroll RS, Bertalanffy L.1956. The principle of allometry in biology and social sciences[J]. General Systems Yearbook, 1: 76-89.
[35]	Zeng C Q, Zhou Y, Wang S X, et al.2011. Population spatialization in China based on night-time imagery and land use data[J]. International Journal of Remote Sensing, 32(24): 9599-9620. doi: 10.1080/01431161.2011.569581
[36]	Zhao N Z, Currit N, Samson E.2011. Net primary production and gross domestic product in China derived from satellite imagery[J]. Ecological Economics, 70(5): 921-928. doi: 10.1016/j.ecolecon.2010.12.023

城市	北京	天津	石家庄	唐山	秦皇岛	邯郸	邢台	保定	张家口	承德	沧州	廊坊	衡水
北京	1	0.78	1.01	0.84	0.84	1.05	0.79	0.91	1.02	0.58	1.02	0.47	0.75
天津	1.26	1	1.28	1.09	1.09	1.31	1.01	1.15	1.30	0.75	1.29	0.60	0.94
石家庄	0.97	0.75	1	0.81	0.81	1.05	0.77	0.89	0.99	0.55	0.99	0.46	0.74
唐山	1.14	0.91	1.14	1	0.99	1.16	0.91	1.03	1.18	0.70	1.17	0.54	0.84
秦皇岛	1.14	0.91	1.15	0.99	1	1.16	0.91	1.03	1.17	0.69	1.16	0.54	0.85
邯郸	0.81	0.62	0.85	0.66	0.66	1	0.64	0.74	0.87	0.43	0.85	0.39	0.62
邢台	1.25	0.98	1.27	1.06	1.06	1.31	1	1.14	1.27	0.72	1.27	0.59	0.94
保定	1.10	0.85	1.12	0.92	0.92	1.16	0.87	1	1.11	0.62	1.11	0.52	0.83
张家口	0.92	0.72	0.93	0.78	0.77	1.01	0.72	0.82	1	0.55	0.95	0.43	0.68
承德	1.53	1.23	1.51	1.36	1.36	1.49	1.21	1.36	1.62	1	1.57	0.71	1.11
沧州	0.97	0.76	0.98	0.82	0.81	1.04	0.77	0.88	1.01	0.57	1	0.46	0.72
廊坊	2.08	1.62	2.12	1.74	1.76	2.24	1.65	1.90	2.11	1.18	2.11	1	1.58
衡水	1.31	1.02	1.34	1.09	1.10	1.41	1.04	1.19	1.32	0.73	1.32	0.63	1

Multi-scaling allometric analysis of the Beijing-Tianjin-Hebei urban system based on nighttime light data

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Figures/Tables 9

References 36

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城市	1992年		2000年		2005年		2013年
城市	面积/km²	指数/10³	面积/km²	指数/10³	面积/km²	指数/10³	面积/km²	指数/10³
北京	1504	163	2818	322	3359	375	3853	416
天津	881	86	1818	194	2182	225	2795	276
石家庄	216	22	433	48	469	51	533	56
唐山	239	22	426	43	554	53	688	63
秦皇岛	120	12	225	23	266	26	341	32
邯郸	304	27	628	62	635	63	725	69
邢台	68	6	143	14	185	17	205	18
保定	92	10	187	21	225	24	246	26
张家口	117	11	228	23	234	23	332	29
承德	28	2	53	5	69	6	133	10
沧州	64	6	115	12	138	14	174	16
廊坊	37	4	166	16	206	20	261	24
衡水	32	3	77	8	87	8	100	9
三河	42	3	245	19	266	21	280	22
迁安	23	2	62	5	153	12	260	19

城市	北京	天津	石家庄	唐山	秦皇岛	邯郸	邢台	保定	张家口	承德	沧州	廊坊	衡水
北京	1	0.81	1.07	0.80	0.81	1.21	0.79	0.92	0.95	0.53	0.99	0.49	0.79
天津	1.21	1	1.30	1.00	1.00	1.45	0.97	1.12	1.18	0.67	1.21	0.59	0.95
石家庄	0.91	0.74	1	0.72	0.74	1.15	0.72	0.85	0.87	0.47	0.89	0.46	0.73
唐山	1.17	0.97	1.23	1	0.98	1.36	0.94	1.06	1.15	0.68	1.18	0.56	0.89
秦皇岛	1.19	0.98	1.27	0.99	1	1.39	0.95	1.09	1.15	0.67	1.18	0.58	0.94
邯郸	0.69	0.55	0.77	0.53	0.54	1	0.53	0.64	0.69	0.34	0.69	0.36	0.55
邢台	1.24	1.02	1.34	1.02	1.03	1.47	1	1.15	1.19	0.68	1.23	0.61	0.98
保定	1.08	0.87	1.16	0.85	0.87	1.31	0.84	1	1.01	0.56	1.06	0.53	0.86
张家口	0.94	0.78	1.02	0.79	0.78	1.20	0.74	0.86	1	0.55	0.96	0.46	0.73
承德	1.57	1.33	1.64	1.39	1.36	1.79	1.27	1.41	1.64	1	1.62	0.74	1.19
沧州	0.99	0.81	1.05	0.81	0.81	1.21	0.78	0.91	0.97	0.55	1	0.48	0.77
廊坊	1.99	1.60	2.17	1.56	1.60	2.52	1.55	1.85	1.89	1.02	1.94	1	1.60
衡水	1.23	0.99	1.34	0.96	0.99	1.51	0.96	1.14	1.14	0.62	1.19	0.62	1

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[5]	NIU Qiang, SHEN Yingjie, ZHOU Yi, HUANG Jingnan, WANG Pan. Effect and lag period of urban agglomeration construction land growth on economic growth based on lagged variable model:A case study of the Beijing-Tianjin-Hebei urban agglomeration [J]. PROGRESS IN GEOGRAPHY, 2020, 39(10): 1656-1666.
[6]	WU Yan, LI Hongbo. Spatial change and correlations of desakota regions in a metropolitan area using NPP/VIIRS nighttime light data: A case study of Wuhan City [J]. PROGRESS IN GEOGRAPHY, 2020, 39(1): 13-23.
[7]	SHEN Jie, ZHANG Keyun. An empirical analysis of factors leading to typical urban problems in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(1): 1-12.
[8]	Xiaoxue SHI, Daoyi GONG, Yihong HU. Regional strong winter wind events over Beijing-Tianjin-Hebei and the associated atmospheric circulation changes during 1979-2017 [J]. PROGRESS IN GEOGRAPHY, 2019, 38(7): 1069-1079.
[9]	Feng ZHANG, Yanguang CHEN, Xiaosong LI. Radial dimension analysis of growth and form of cities in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 65-76.
[10]	Lixin SU, Changchun FENG. A comparative study on the regional governance models of the Beijing-Tianjin-Hebei region and several foreign metropolitans [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 15-25.
[11]	Dan CUI, Hao WU, Dianting WU. A review and prospect of regional governance in the Beijing-Tianjin-Hebei region [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 1-14.
[12]	Yanguang CHEN. Monofractal, multifractals, and self-affine fractals in urban studies [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 38-49.
[13]	Linshan HUANG, Yanguang CHEN, Shuangcheng LI. Multifractal spectral analysis of land use structure of the Beijing-Tianjin-Hebei urban system [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 50-64.
[14]	Jingtian ZHAO, Yanguang CHEN, Shuangcheng LI. Bi-fractal structure and evolution of the Beijing-Tianjin-Hebei region urban land-use patterns [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 77-87.
[15]	Mulin CHEN, Hongyan CAI. Interpolation methods comparison of VIIRS/DNB nighttime light monthly composites: A case study of Beijing [J]. PROGRESS IN GEOGRAPHY, 2019, 38(1): 126-138.