Abstract Urban sprawl has become a key issue of global concern as a special phenomenon related to abnormal urbanization. DMSP/OLI nighttime light data, NPP/VIIRS nighttime light data, and LandScan population distribution data were used to extract urban areas in China from 2000 to 2017 using the mutation detection method. After this, 343 cities at prefecture-level and above in China were taken as study units and the population sprawl index and the land sprawl index-which together constitute the urban sprawl index (USI)-were modeled to subdivide the differences in density within the cities. The evolutionary trend and spatiotemporal pattern of urban sprawl in China were then analyzed using trend analysis and exploratory spatiotemporal data analysis, while Geodetector was applied to probe the factors driving the changes. The results show the following. 1) There has been moderate or high urban sprawl development in China from 2000 to 2017. In terms of spatial distribution, the USI was high in the northwest and low in the southeast; 2) In 47.2% of the cities studied, the spread index has hardly changed in 18 years. 3) The local spatial stability of the USI gradually decreased from southeast to northwest and northeast. 4) The gross regional product (GRP) of tertiary industry, the general GRP, and investment in real estate development are the most important factors affecting the sprawl in cities at the prefecture level and above in China.
ZHANG Xin,PAN Jing-hu. IDENTIFICATION OF SPATIO-TEMPORAL DYNAMICS AND DETECTION FOR DRIVING FACTORS OF URBAN SPRAWL IN CHINA[J]. HUMAN GEOGRAPHY, 2021, 36(4): 114-125.
史守正,石忆邵.城市蔓延的多维度思考[J].人文地理,2017,32(4):54-59.[Shi Shouzheng, Shi Yishao. Multi-dimensional reflections of urban sprawl[J]. Human Geography, 2017,32(4):54-59.]
[2]
兰肖雄,刘盛和,胡章.我国城市蔓延概念的界定与思考[J].地域研究与开发,2012,31(3):53-57.[Lan Xiaoxiong, Liu Shenghe, Hu Zhang. Study on the difference of livable degree between residential environments based on individual perspective[J]. Areal Research and Development, 2012,31(3):53-57.]
[3]
张琳琳,岳文泽,范蓓蕾.中国大城市蔓延的测度研究——以杭州市为例[J].地理科学,2014,34(4):394-400.[Zhang Linlin, Yue Wenze, Fan Beilei. Measuring urban sprawl in large Chinese cities:A case study of Hangzhou[J]. Scientia Geographica Sinica, 2014, 34(4):394-400.]
[4]
孙平军,封小平,孙弘,等.2000-2009年长春、吉林城市蔓延特征、效应与驱动力比较研究[J].地理科学进展,2013,32(3):381-388.[Sun Pingjun, Feng Xiaoping, Sun Hong, et al. Comparative analysis of characteristics, effects and driving factors of urban sprawl in Changchun-Jilin during 2000-2009[J]. Progress in Geography, 2013,32(3):381-388.]
[5]
单葆国,邵玺,余姗,等.中国城市蔓延阶段特征及驱动因素分析[J]. 地球信息科学学报,2018,20(3):302-310.[Shan Baoguo, Shao Xi, Yu Shan, et al. Analysis on phase characteristics and driving factors of urban sprawl in China[J]. Journal of Geo-Information Science, 2018,20(3):302-310.]
[6]
王家庭,蔡思远,唐瑭,等.国内外城市蔓延研究的回顾、评价及展望[J].城市观察,2019(5):145-164.[Wang Jiating, Cai Siyuan, Tang Yu, et al. Review, review, comments and prospects of the domestic and foreign research on urban sprawl[J]. Urban Insight, 2019(5):145-164.]
[7]
王家庭,张俊韬.我国城市蔓延测度:基于35个大中城市面板数据的实证研究[J].经济学家,2010,(10):56-63.[Wang Jiating, Zhang Juntao. Measurement on the urban spreading in China:Empirical study based on the panel data of 35 large and middle cities[J]. Economist, 2010,(10):56-63.]
[8]
Fulton W, Pendall R, Nguyen M, et al. Who Sprawls Most? How Growth Patterns Differ Across the US[R]. Washington DC:Center on Urban and Metropolitan Policy, Brookings Institution, 2001:1-24.
[9]
Lang R E, Lefurgy J. Edgeless cities:Examining the noncentered metropolis[J]. Housing Policy Debate, 2003,14(3):427-460.
[10]
Li G, Li F. Urban sprawl in China:Differences and socioeconomic drivers[J]. Science of the Total Environment, 2019,673:367-377.
[11]
Lopez R, Hynes H P. Sprawl in the 1990s:Measurement, distribution, and trends[J]. Urban Affairs Review, 2003,38(3):325-355.
[12]
Fallah B N, Partridge M D, Olfert M R. Urban sprawl and productivity:Evidence from US metropolitan areas[J]. Papers in Regional Science, 2011,90(3):451-472.
[13]
Feng Y C, Wang X H, Du W C, et al. Spatiotemporal characteristics and driving forces of urban sprawl in China during 2003-2017[J/OL]. Journal of Cleaner Production, 2019. (2019-08-17)[2020-08-20]. https://doi.org/10.1016/j.jclepro.2019.118061. DOI:10.1016/j. jclep-ro.2019.118061.
[14]
秦蒙,刘修岩,李松林.中国的"城市蔓延之谜"——来自政府行为视角的空间面板数据分析[J].经济学动态,2016(7):21-33.[Qin Meng, Liu Xiuyan, Li Songlin. China's "mystery of urban sprawl":Spatial panel data analysis from the perspective of government behavior[J]. Economic Perspectives, 2016(7):21-33.]
[15]
张衔春,向乔玉,张宇,等.中国城市蔓延研究回顾与展望[J].规划师,2014,30(9):76-81.[Zhang Xianchun, Xiang Qiaoyu, Zhang Yu, et al. Urban sprawl study review and prospect in China[J]. Planners, 2014,30(9):76-81.]
[16]
曹子阳,吴志峰,匡耀求,等.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,2015,17(9):1092-1102.[Cao Ziyang, Wu Zhifeng, Kuang Yaoqiu, et al. Correction of DMSP/OLS night-time light images and its application in China[J]. Journal of Geo-Information Science, 2015,17(9):1092-1102.]
[17]
周翼,谢保鹏,赵鸿雁,等.基于灯光数据的中国县域城市规模时空格局分析[J].长江流域资源与环境,2019,28(2):250-260.[Zhou Yi, Xie Baopeng, Zhao Hongyan, et al. Study on spatial-temporal pattern and dynamic evolution of city scale at county level in China based on night-time light data[J]. Resources and Environment in the Yangtze Basin, 2019,28(2):250-260.]
[18]
Zhao M, Zhou Y, Li X, et al. Building a series of consistent nighttime light data (1992-2018) in southeast Asia by integrating DMSP-OLS and NPP-VIIRS[J]. IEEE Transactions on Geoence and Remote Sensing, 2020,58(3):1843-1856.
[19]
Li X, Li D R, Xu H M, et al. Intercalibration between DMSP/OLS and VIIRS night-time light images to evaluate city light dynamics of Syria's major human settlement during Syrian Civil War[J]. International Journal of Remote Sensing, 2017,38(21):5934-5951.
[20]
Zheng Q, Weng Q, Wang K. Developing a new cross-sensor calibration model for DMSP-OLS and Suomi-NPP VIIRS night-light imageries[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 153:36-47.
[21]
董鹤松,李仁杰,李建明,等.基于DMSP-OLS与NPP-VIIRS整合数据的中国三大城市群城市空间扩展时空格局[J].地球信息科学学报,2020,22(5):1161-1174.[Dong Hesong, Li Renjie, Li Jianmin, et al. Study on urban spatiotemporal expansion pattern of three firstclass urban agglomerations in China derived from integrated DMSP-OLS and NPP-VIIRS nighttime light data[J]. Journal of Geo-Information Science, 2020,22(5):1161-1174.]
[22]
Fan J S, Zhou L. Three-dimensional intergovernmental competition and urban sprawl:Evidence from Chinese prefectural-level cities[J/OL]. Land Use Policy, 2019. (2019-06-12)[2020-07-23]. https://doi.org/10.1016/j.landusepol.2019.104035.
[23]
刘璐.基于夜间灯光数据的城市群蔓延指标[J].国土资源遥感, 2018,30(2):208-213.[Liu Lu. Urban sprawl metrics based on nighttime light data for metropolitan areas[J]. Remote Sensing for Land & Resources, 2018,30(2):208-213.]
[24]
Yue W, Zhang L, Liu Y. Measuring sprawl in large Chinese cities along the Yangtze River via combined single and multidimensional metrics[J]. Habitat International, 2016,57:43-52.
[25]
舒松,余柏蒗,吴健平,等.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,2011,26(2):169-176.[Shu Song, Yu Bailang, Wu Jianping, et al. Methods for deriving urban built-up area using night-light data:Assessment and application[J]. Remote Sensing Technology and Application, 2011,26(2):169-176.]
[26]
宋金超,李新虎,吝涛,等.基于夜晚灯光数据和Google Earth的城市建成区提取分析[J].地球信息科学学报,2015,17(6):750-756.[Song Jinchao, Li Xinhu, Lin Tao, et al. A method of extracting urban built-up area based on DMSP/OLS nighttime data and Google earth[J]. Journal of Geo-Information Science, 2015,17(6):750-756.]
[27]
Chang S P, Wang J, Zhang F F, et al. A study of the impacts of urban expansion on vegetation primary productivity levels in the JingJin-Jiregion, based on nighttime light data[J/OL]. Journal of Cleaner Production, 2020. (2020-07-17)[2020-08-20]. https://doi.org/10.1016/j.jclepro.2020.121490.
[28]
Li X P, Yang X D, Gong L. Evaluating the influencing factors of urbanization in the Xinjiang Uygur Autonomous Region over the past 27 years based on VIIRS-DNB and DMSP/OLS nightlight imageries[J/OL]. PLOS ONE, 2020. (2020-07-22)[2020-08-29]. https://doi.org/10.1371/journal.pone.0235903.
[29]
毛其智,龙瀛,吴康.中国人口密度时空演变与城镇化空间格局初探——从2000年到2010年[J].城市规划,2015,39(2):38-43.[Mao Qizhi, Long Ying, Wu Kang. Spatio-temporal changes of population density and exploration on urbanization pattern in China:2000-2010[J]. City Planning Review, 2015,39(2):38-43.]
[30]
秦志锋.中国城市蔓延现状与控制对策研究[D]. 开封:河南大学, 2008:36-42.[Qin Zhifeng. Research on Chinese Urban Sprawl and Its Control[D]. Kaifeng:Henan University, 2008:36-42.]
[31]
Rey S J, Janikas M V. STARS:Space-time analysis of regional systems. Geographical Analysis, 2016,38(1):67-86.
[32]
纪小美,王婷,陶卓民,等.时空交互视角下的中国入境客流分布动态分析[J].人文地理,2016,31(4):153-160.[Ji Xiaomei, Wang Ting, Tao Zhuomin, et al. Distributional dynamics of China's inbound tourist flow:Under the view of spatial-temporal interaction[J]. Human Geography, 2016,31(4):153-160.]
[33]
Rey S J, Murray A T, Anselin L. Visualizing regional income distribution dynamics[J]. Letters in Spatial and Resource Sciences, 2011, 4(1):81-90.
刘永健,耿弘,孙文华,等.城市建设用地扩张的区域差异及其驱动因素[J].中国人口·资源与环境,2017,27(8):122-127.[Liu Yongjian, Geng Hong, Sun Wenhua, et al. Analysis on the regional differences and driving factors of urban construction land expansion[J]. China Population, Resources and Environment, 2017,27(8):122-127.]
[36]
张雪茹,尹志强,姚亦锋,等.安徽省城市建设用地变化及驱动力分析[J].长江流域资源与环境,2016,25(4):544-551.[Zhang Xueru, Yin Zhiqiang, Yao Yifeng, et al. Analysis on urban costruction land change and driving forces in Anhui Province[J]. Resources and Environment in the Yangtze Basin, 2016,25(4):544-551.]
[37]
陈春,冯长春.中国建设用地增长驱动力研究[J].中国人口·资源与环境,2010,20(10):72-78.[Chen Chun, Feng Changchun. Driving forces for construction land expansion in China[J]. China Population, Resources and Environment, 2010,20(10):72-78.]
[38]
孙雁南.四川省房地产可持续发展影响因素研究[J].现代商贸工业,2020,41(2):30-31.[Sun Yannan. Research on influencing factors of real estate sustainable development in Sichuan province[J]. Modern Business Trade Industry, 2020,41(2):30-31.]
2021, Vol. 36 
