|
|
|
| CENTRALIZATION OR DECENTRALLIZATION? THE EVOLUTION TRENDS AND INFLUENTIAL FACTORS OF POPULATION DENSITY DISTRIBUTION OF CHINESE CITIES AT PREFECTRUE LEVEL OR ABOVE FROM 2000 TO 2020 |
| ZHANG Yan-ji1, CHI Hu-Jie2,3, LIN Sheng1 |
1. School of Humanities and Social Sciences, Fuzhou University, Fuzhou 350108, China;
2. School of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou 350108, China;
3. Fuzhou Urban-Rural Spatial Planning Industry Technology Innovation Center, Fuzhou 350108, China |
|
|
|
|
Abstract Based on WorldPop dataset of 2000 and 2020 and monocentric models including negative exponential model, logarithmic model, and power model, this research reveals the evolution trends and driven factors of residential population density distributions of 263 Chinese cities at prefecture level or above. Firstly, we found that the fitting degrees of three monocentric models for population density distribution generally decreased in the decentralized cities, while remained stable in most centralized cities. The application of exponential function was more suitable for large cities, and power function was more suitable for small or medium-sized cities. Secondly, 70% and 30% cities have experienced the process of centralization and decentralization over the past 20 years, respectively. The population density gradients of eastern and high-grade cities were higher and their trends of centralization were stronger, while the majority of southwest mountainous cities were more likely to decentralize. Thirdly, both market mechanism and public policy shape the spatial pattern of population density. With the expansion of population scale, improvement of living condition, and shrinkage of family size, the urban population density gradient would drop significantly, or the probability and changing extent of decentralization would rise significantly. The construction of road network and the public transportation priority policy promote decentralization.
|
|
Received: 21 January 2022
|
|
|
|
|
|
| [1] |
McDonald J F. Econometric studies of urban population density:A survey[J]. Journal of Urban Economics, 1989,26(3):361-385.
|
| [2] |
王法辉.GIS和数量方法在社会经济研究中的应用(第二版)[M].北京:商务印书馆, 2019:127-155.[Wang Fahui. Quantitative Methods and Socio-economic Applications in GIS (Second Edition)[M]. Beijing:The Commercial Press, 2019:127-155.]
|
| [3] |
Clark C. Urban population densities[J]. Journal of the Royal Statistical Society, 1951,114:490-496.
|
| [4] |
李倢,中村良平.城市空间人口密度模型研究综述[J].国外城市规划, 2006, 21(1):40-47.[Li Jie, Ryohei Nakamura. An econometric study on the urban population density functions:A survey[J]. Urban Planning Overseas, 2006,21(1):40-47.]
|
| [5] |
Martori J C, Madariaga R, Oller R. Real estate bubble and urban population density:Six Spanish metropolitan areas 2001-2011[J]. The Annals of Regional Science, 2016,56(2):369-392.
|
| [6] |
Arribas-Bel D, Sanz-Gracia F. The validity of the monocentric city model in a polycentric age:US metropolitan areas in 1990, 2000 and 2010[J]. Urban Geography, 2014,35(7):980-997.
|
| [7] |
Woo M, Guldmann J-M. Impacts of urban containment policies on the spatial structure of US metropolitan areas[J]. Urban Studies, 2011,48(16):3511-3536.
|
| [8] |
Qiang Y, Xu J, Zhang G. The shapes of US cities:Revisiting the classic population density functions using crowdsourced geospatial data[J]. Urban Studies, 2020,57(10):2147-2162.
|
| [9] |
Edmonston B, Guterbock T M. Is suburbanization slowing down?Recent trends in population deconcentration in U.S. metropolitan areas[J]. Social Forces, 1984,62(4):905-925.
|
| [10] |
Sridhar K S. Density gradients and their determinants:Evidence from India[J]. Regional Science and Urban Economics, 2007,37(3):314-344.
|
| [11] |
Broitman D, Koomen E. The attraction of urban cores:Densification in Dutch city centres[J]. Urban Studies, 2020,57(9):1920-1939.
|
| [12] |
Filion P, Bunting T, Pavlic D, et al. Intensification and sprawl:Residential density trajectories in Canada's largest metropolitan regions[J]. Urban Geography, 2010,31(4):541-569.
|
| [13] |
Mieszkowski P, Smith B. Analyzing urban decentralization:The case of Houston[J]. Regional Science and Urban Economics, 1991, 21(2):183-199.
|
| [14] |
赵睿,焦利民,许刚,等.城市空间增长与人口密度变化之间的关联关系[J].地理学报,2020,75(4):695-707.[Zhao Rui, Jiao Limin, Xu Gang, et al. The relationship between urban spatial growth and population density change[J]. Acta Geographica Sinica, 2020,75(4):695-707.]
|
| [15] |
Xu G, Jiao L, Yuan M, et al. How does urban population density decline over time?An exponential model for Chinese cities with international comparisons[J]. Landscape and Urban Planning, 2019,183:59-67.
|
| [16] |
Zhang C, Miao C, Zhang W, et al. Spatiotemporal patterns of urban sprawl and its relationship with economic development in China during 1990-2010[J]. Habitat International, 2018,79:51-60.
|
| [17] |
Feng J, Wang F, Zhou Y. The spatial restructuring of population in metropolitan Beijing:Toward polycentricity in the post-reform era[J]. Urban Geography, 2009,30(7):779-802.
|
| [18] |
王春兰,杨上广,顾高翔,等.上海市人口分布变化——基于居村委数据的分析[J].中国人口科学,2016(4):113-125.[Wang Chunlan, Yang Shangguang, Gu Gaoxiang, et al. The changing population distribution of Shanghai metropolis:A study based on data of residents/villages'committee units[J]. Chinese Journal of Population Science, 2016(4):113-125.]
|
| [19] |
周春山,边艳.1982-2010年广州市人口增长与空间分布演变研究[J].地理科学, 2014, 34(9):1085-1092.[Zhou Chunshang, Bian Yan. The growth and distribution of population in Guangzhou city in 1982-2010[J]. Scientia Geographica Sinica, 2014, 34(9):1085-1092.]
|
| [20] |
杨振,雷军.1982-2010年乌鲁木齐市主城区人口时空分布特征及模拟[J].中国科学院大学学报,2018,35(4):506-514.[Yang Zhen, Lei Jun. Spatial-temporal distribution characteristics and simulation of population in the main urban area of Urumqi city from 1982 to 2010[J]. Journal of University of Chinese Academy of Sciences, 2018,35(4):506-514.]
|
| [21] |
陈浩,权东计,赵新正,等.西部欠发达城市人口空间分布与演变——以兰州市为例[J].世界地理研究,2019,28(4):105-114.[Chen Hao, Quan Dongji, Zhao Xinzheng, et al. Evolutional trends of population spatial distribution in western underdeveloped city:A case study of Lanzhou[J]. World Regional Studies, 2019,28(4):105-114.]
|
| [22] |
吴文钰,高向东.中国城市人口密度分布模型研究进展及展望[J].地理科学进展,2010,29(8):968-974.[Wu Wenyu, Gao Xiangdong. Population density functions of Chinese cities:A review[J]. Progress in Geography, 2010,29(8):968-974.]
|
| [23] |
Gaughan A E, Stevens F R, Huang Z, et al. Spatiotemporal patterns of population in mainland China, 1990 to 2010[J]. Scientific Data, 2016,3:160005. https://www.nature.com/articles/sdata20165/. DOI:10.1038/sdata.2016.5.
|
| [24] |
林丹淳,谭敏,刘凯,等.代表性人口空间分布数据集的精度评价——以2010年广东省为例[J].热带地理,2020,40(2):346-256.[Lin Danchun, Tan Min, Liu Kai, et al. Accuracy comparison of four gridded population datasets in Guangdong province, China[J]. Tropical Geography, 2020,40(2):346-256.]
|
| [25] |
Leyk S, Gaughan A E, Adamo S B, et al. The spatial allocation of population:A review of large-scale gridded population data products and their fitness for use[J]. Earth System Science Data, 2019, 11(3):1385-1509.
|
| [26] |
张志斌,陈龙,笪晓军,等.基于社会阶层的公共服务设施空间公正性——以兰州市中心城区为例[J].城市规划,2021,45(12):48-58.[Zhang Zhibin, Chen Long, Da Xiaojun, et al. Spatial justice of public service facilities based on social stratification:A case study of the central urban area of Lanzhou[J]. City Planning Review, 2021,45(12):48-58.]
|
| [27] |
陈培阳.中国城市学区绅士化及其社会空间效应[J].城市发展研究,2015,22(8):55-60.[Chen Peiyang. Jiaoyufication and its sociospatial consequences in urban China[J]. Urban Development Studies, 2015,22(8):55-60.]
|
| [28] |
Wu Q, Cheng J, Chen G, et al. Socio-spatial differentiation and residential segregation in the Chinese city based on the 2000 community-level census data:A case study of the inner city of Nanjing[J]. Cities, 2014,39:109-119.
|
|
|
|
2023, Vol. 38 
