References
- American Association for the Advancement of Science (AAAS). 2016. Rise of the city. Science 352 (6288):906–07. doi: https://doi.org/10.1126/science.352.6288.906.
- AssunÇão, R. M., M. C. Neves, G. Câmara, and C. Da Costa Freitas. 2006. Efficient regionalization techniques for socio‐economic geographical units using minimum spanning trees. International Journal of Geographical Information Science 20 (7):797–811. doi: https://doi.org/10.1080/13658810600665111.
- Bai, X., J. Chen, and P. Shi. 2012. Landscape urbanization and economic growth in China: Positive feedbacks and sustainability dilemmas. Environmental Science & Technology 46 (1):132–39. doi: https://doi.org/10.1021/es202329f.
- Bettencourt, L., and G. West. 2010. A unified theory of urban living. Nature 467 (7318):912–13. doi: https://doi.org/10.1038/467912a.
- Caruso, G., M. Hilal, and I. Thomas. 2017. Measuring urban forms from inter-building distances: Combining MST graphs with a local index of spatial association. Landscape and Urban Planning 163:80–89. doi: https://doi.org/10.1016/j.landurbplan.2017.03.003.
- Chan, K. W. 1992. Economic growth strategy and urbanization policies in China, 1949–1982. International Journal of Urban and Regional Research 16 (2):275–305. doi: https://doi.org/10.1111/j.1468-2427.1992.tb00173.x.
- Chen, J., H. Wei, N. Li, S. Chen, W. Qu, and Y. Zhang. 2020. Exploring the spatial-temporal dynamics of the Yangtze River Delta urban agglomeration based on night-time light remote sensing technology. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13:5369–83. doi: https://doi.org/10.1109/JSTARS.2020.3022178.
- Chen, Z., B. Yu, Y. Zhou, H. Liu, C. Yang, K. Shi, and J. Wu. 2019. Mapping global urban areas from 2000 to 2012 using time-series nighttime light data and MODIS products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (4):1143–53. doi: https://doi.org/10.1109/JSTARS.2019.2900457.
- China State Council. 2000. The notice of the implementation of the Western development strategy. Accessed July 7, 2020. http://www.gov.cn/gongbao/content/2001/content_60854.htm.
- China State Council. 2006. The notice of the implementation of the rise of central China strategy. Accessed July 7, 2020. http://www.gov.cn/gongbao/content/2006/content_327809.htm.
- China State Council. 2007. The notice of the implementation of the Northeast Revitalization Plan. Accessed July 7, 2020. http://www.gov.cn/gzdt/2007-08/20/content_721632.htm.
- China State Council. 2015. The middle reaches of the Yangtze River agglomeration development plan. Accessed July 7, 2020. http://www.gov.cn/zhengce/content/2015-04/05/content_9579.htm.
- De Goei, B., M. J. Burger, F. G. Van Oort, and M. Kitson. 2010. Functional polycentrism and urban network development in the Greater South East, United Kingdom: Evidence from commuting patterns, 1981–2001. Regional Studies 44 (9):1149–70. doi: https://doi.org/10.1080/00343400903365102.
- Dewar, M., and D. Epstein. 2007. Planning for “megaregions” in the United States. Journal of Planning Literature 22 (2):108–24. doi: https://doi.org/10.1177/0885412207306615.
- Doll, C. H., J.-P. Muller, and C. D. Elvidge. 2000. Night-time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions. AMBIO: A Journal of the Human Environment 29 (3):157–63. doi: https://doi.org/10.1579/0044-7447-29.3.157.
- Doll, C. N. H., J.-P. Muller, and J. G. Morley. 2006. Mapping regional economic activity from night-time light satellite imagery. Ecological Economics 57 (1):75–92. doi: https://doi.org/10.1016/j.ecolecon.2005.03.007.
- Doll, C. N., and S. Pachauri. 2010. Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery. Energy Policy 38 (10):5661–70. doi: https://doi.org/10.1016/j.enpol.2010.05.014.
- Elvidge, C. D., K. E. Baugh, E. A. Kihn, H. W. Kroehl, E. R. Davis, and C. W. Davis. 1997. Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption. International Journal of Remote Sensing 18 (6):1373–79. doi: https://doi.org/10.1080/014311697218485.
- Elvidge, C. D., F.-C. Hsu, K. E. Baugh, and T. Ghosh. 2014. National trends in satellite observed lighting: 1992–2012. In Global urban monitoring and assessment through earth observation, ed. Q. Weng, 97–118. Boca Raton, FL: CRC.
- Fang, C., G. Li, and S. Wang. 2016. Changing and differentiated urban landscape in China: Spatiotemporal patterns and driving forces. Environmental Science & Technology 50 (5):2217–27. doi: https://doi.org/10.1021/acs.est.5b05198.
- Fang, C., and D. Yu. 2017. Urban agglomeration: An evolving concept of an emerging phenomenon. Landscape and Urban Planning 162:126–36. doi: https://doi.org/10.1016/j.landurbplan.2017.02.014.
- Fawcett, C. B. 1932. Distribution of the urban population in Great Britain, 1931. The Geographical Journal 79 (2):100–13. doi: https://doi.org/10.2307/1785089.
- Florida, R., T. Gulden, and C. Mellander. 2008. The rise of the mega-region. Cambridge Journal of Regions, Economy and Society 1 (3):459–76. doi: https://doi.org/10.1093/cjres/rsn018.
- Forbes, D. J. 2013. Multi-scale analysis of the relationship between economic statistics and DMSP/OLS night light images. GIScience & Remote Sensing 50 (5):483–99. doi: https://doi.org/10.1080/15481603.2013.823732.
- Fragkias, M., and K. C. Seto. 2009. Evolving rank-size distributions of intra-metropolitan urban clusters in South China. Computers Environment & Urban Systems 33 (3):189–99. doi: https://doi.org/10.1016/j.compenvurbsys.2008.08.005.
- Gaughan, A. E., F. R. Stevens, Z. Huang, J. J. Nieves, A. Sorichetta, S. Lai, X. Ye, C. Linard, G. M. Hornby, S. I. Hay, et al. 2016. Spatiotemporal patterns of population in mainland China, 1990 to 2010. Scientific Data 3 (1):1–11. doi: https://doi.org/10.1038/sdata.2016.5.
- Geddes, P. 1915. Cities in evolution: An introduction to the town planning movement and to the study of civics. London: Williams & Norgate.
- Gottmann, J. 1957. Megalopolis or the urbanization of the northeastern seaboard. Economic Geography 33 (3):189–200. doi: https://doi.org/10.2307/142307.
- Guerin-Pace, F. 1995. Rank-size distribution and the process of urban growth. Urban Studies 32 (3):551–62. doi: https://doi.org/10.1080/00420989550012960.
- Hagler, Y. 2009. Defining US megaregions. Regional Plan Association, New York. Accessed July 7, 2020. https://s3.us-east-1.amazonaws.com/rpa-org/pdfs/2050-Paper-Defining-US-Megaregions.pdf.
- Hall, P. G., and K. Pain. 2006. The polycentric metropolis: Learning from mega-city regions in Europe. London: Earthscan.
- Harrison, J., and M. Hoyler. 2015. Megaregions: Globalization's new urban form? Cheltenham, UK: Edward Elgar.
- Hu, H. 1935. 中国人口之分布—附统计表与密度图 [The distribution of population in China, with statistics and maps]. Acta Geographica Sinica 2 (2):33–74. doi: https://doi.org/10.11821/xb193502002.
- Huff, D. L., and J. M. Lutz. 1995. Change and continuity in the Irish urban system, 1966-81. Urban Studies 32 (1):155–73. doi: https://doi.org/10.1080/00420989550013275.
- Imhoff, M. L., W. T. Lawrence, D. C. Stutzer, and C. D. Elvidge. 1997. A technique for using composite DMSP/OLS “city lights” satellite data to map urban area. Remote Sensing of Environment 61 (3):361–70. doi: https://doi.org/10.1016/S0034-4257(97)00046-1.
- Jia, M., Y. Liu, S. N. Lieske, and T. Chen. 2020. Public policy change and its impact on urban expansion: An evaluation of 265 cities in China. Land Use Policy 97:104754. doi: https://doi.org/10.1016/j.landusepol.2020.104754.
- Jiang, B., and T. Jia. 2011. Zipf’s law for all the natural cities in the United States: A geospatial perspective. International Journal of Geographical Information Science 25 (8):1269–81. doi: https://doi.org/10.1080/13658816.2010.510801.
- Jonas, A. E. 2012. City-regionalism: Questions of distribution and politics. Progress in Human Geography 36 (6):822–29. doi: https://doi.org/10.1177/0309132511432062.
- Kabisch, N., and D. Haase. 2011. Diversifying European agglomerations: Evidence of urban population trends for the 21st century. Population, Space and Place 17 (3):236–53. doi: https://doi.org/10.1002/psp.600.
- Kuang, W., W. Chi, D. Lu, and Y. Dou. 2014. A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces. Landscape and Urban Planning 132:121–35. doi: https://doi.org/10.1016/j.landurbplan.2014.08.015.
- Lang, R., and P. K. Knox. 2009. The new metropolis: Rethinking megalopolis. Regional Studies 43 (6):789–802. doi: https://doi.org/10.1080/00343400701654251.
- Lefever, D. W. 1926. Measuring geographic concentration by means of the standard deviational ellipse. American Journal of Sociology 32 (1):88–94. doi: https://doi.org/10.1086/214027.
- Li, G., S. Sun, and C. Fang. 2018. The varying driving forces of urban expansion in China: Insights from a spatial-temporal analysis. Landscape and Urban Planning 174:63–77. doi: https://doi.org/10.1016/j.landurbplan.2018.03.004.
- Li, X., G. Chen, X. Liu, X. Liang, S. Wang, Y. Chen, F. Pei, and X. Xu. 2017. A new global land-use and land-cover change product at a 1-km resolution for 2010 to 2100 based on human–environment interactions. Annals of the American Association of Geographers 107 (5):1040–59. doi: https://doi.org/10.1080/24694452.2017.1303357.
- Li, X., B. Huang, R. Li, and Y. Zhang. 2016. Exploring the impact of high speed railways on the spatial redistribution of economic activities—Yangtze River Delta urban agglomeration as a case study. Journal of Transport Geography 57:194–206. doi: https://doi.org/10.1016/j.jtrangeo.2016.10.011.
- Li, Y., and N. A. Phelps. 2017. Knowledge polycentricity and the evolving Yangtze River Delta megalopolis. Regional Studies 51 (7):1035–47. doi: https://doi.org/10.1080/00343404.2016.1240868.
- Liang, S. 2009. Research on the urban influence domains in China. International Journal of Geographical Information Science 23 (12):1527–39. doi: https://doi.org/10.1080/13658810802363614.
- Lin, G. C. 2001. Metropolitan development in a transitional socialist economy: Spatial restructuring in the Pearl River Delta, China. Urban Studies 38 (3):383–406. doi: https://doi.org/10.1080/00420980120027429.
- Liu, H., and K. Jezek. 2004. Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International Journal of Remote Sensing 25 (5):937–58. doi: https://doi.org/10.1080/0143116031000139890.
- Liu, Z., C. He, Q. Zhang, Q. Huang, and Y. Yang. 2012. Extracting the dynamics of urban expansion in China using DMSP/OLS nighttime light data from 1992 to 2008. Landscape and Urban Planning 106 (1):62–72. doi: https://doi.org/10.1016/j.landurbplan.2012.02.013.
- Lo, C. P. 2002. Urban indicators of China from radiance‐calibrated digital DMSP‐OLS nighttime images. Annals of the Association of American Geographers 92 (2):225–40. doi: https://doi.org/10.1111/1467-8306.00288.
- Long, F., L. Zheng, and Z. Song. 2018. High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China. Journal of Transport Geography 72:106–18. doi: https://doi.org/10.1016/j.jtrangeo.2018.08.011.
- Lu, H., M. Zhang, W. Sun, and W. Li. 2018. Expansion analysis of Yangtze River Delta urban agglomeration using DMSP/OLS nighttime light imagery for 1993 to 2012. ISPRS International Journal of Geo-Information 7 (2):52. doi: https://doi.org/10.3390/ijgi7020052.
- Ma, S., and Y. Long. 2020. Functional urban area delineations of cities on the Chinese mainland using massive Didi ride-hailing records. Cities 97:102532. doi: https://doi.org/10.1016/j.cities.2019.102532.
- Ma, T., C. Zhou, T. Pei, S. Haynie, and J. Fan. 2012. Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities. Remote Sensing of Environment 124:99–107. doi: https://doi.org/10.1016/j.rse.2012.04.018.
- Mu, L., and X. Wang. 2006. Population landscape: A geometric approach to studying spatial patterns of the US urban hierarchy. International Journal of Geographical Information Science 20 (6):649–67. doi: https://doi.org/10.1080/13658810600661342.
- National Development and Reform Commission. 2014. National New-Type Urbanization Plan (2014–2020). Accessed July 7, 2020. https://www.ndrc.gov.cn/fggz/fzzlgh/gjfzgh/201404/t20140411_1190354.html.
- Nelson, G. D., and A. Rae. 2016. An economic geography of the United States: From commutes to megaregions. PLoS ONE 11 (11):e0166083. doi: https://doi.org/10.1371/journal.pone.0166083.
- Niedomysl, T., O. Hall, M. F. Archila Bustos, and U. Ernstson. 2017. Using satellite data on nighttime lights intensity to estimate contemporary human migration distances. Annals of the American Association of Geographers 107 (3):591–605. doi: https://doi.org/10.1080/24694452.2016.1270191.
- Peng, J., H. Lin, Y. Chen, T. Blaschke, L. Luo, Z. Xu, Y. Hu, M. Zhao, and J. Wu. 2020. Spatiotemporal evolution of urban agglomerations in China during 2000–2012: A nighttime light approach. Landscape Ecology 35 (2):421–34. doi: https://doi.org/10.1007/s10980-019-00956-y.
- Portnov, B. A. 2006. Urban clustering, development similarity, and local growth: A case study of Canada. European Planning Studies 14 (9):1287–1314. doi: https://doi.org/10.1080/09654310600933355.
- Portnov, B. A., and B. Wellar. 2004. Development similarity based on proximity: A case study of urban clusters in Canada. Papers in Regional Science 83 (2):443–65. doi: https://doi.org/10.1111/j.1435-5597.2004.tb01917.x.
- Preen, M. 2018. China’s city clusters: The plan to develop 19 super-regions. China Briefing. Accessed July 7, 2020. https://www.china-briefing.com/news/chinas-city-clusters-plan-to-transform-into-19-super-regions/.
- Rozenfeld, H. D., D. Rybski, J. S. Andrade, M. Batty, H. E. Stanley, and H. A. Makse. 2008. Laws of population growth. Proceedings of the National Academy of Sciences of the United States of America 105 (48):18702–07. doi: https://doi.org/10.1073/pnas.0807435105.
- Scott, A. J. 2001. Globalization and the rise of city-regions. European Planning Studies 9 (7):813–26. doi: https://doi.org/10.1080/09654310120079788.
- Seto, K. C., and R. K. Kaufmann. 2003. Modeling the drivers of urban land use change in the Pearl River Delta, China: Integrating remote sensing with socioeconomic data. Land Economics 79 (1):106–21. doi: https://doi.org/10.2307/3147108.
- Shao, S., Z. Tian, and L. Yang. 2017. High speed rail and urban service industry agglomeration: Evidence from China’s Yangtze River Delta region. Journal of Transport Geography 64:174–83. doi: https://doi.org/10.1016/j.jtrangeo.2017.08.019.
- Shi, K., Y. Chen, B. Yu, T. Xu, Z. Chen, R. Liu, L. Li, and J. Wu. 2016. Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP/OLS nighttime stable light data using panel data analysis. Applied Energy 168:523–33. doi: https://doi.org/10.1016/j.apenergy.2015.11.055.
- Shi, K., B. Yu, Y. Huang, Y. Hu, B. Yin, Z. Chen, L. Chen, and J. Wu. 2014. Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of china at multiple scales: A comparison with DMSP/OLS data. Remote Sensing 6 (2):1705–24. doi: https://doi.org/10.3390/rs6021705.
- Shi, K., B. Yu, C. Huang, J. Wu, and X. Sun. 2018. Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road. Energy 150:847–59. doi: https://doi.org/10.1016/j.energy.2018.03.020.
- Small, C., C. D. Elvidge, D. Balk, and M. Montgomery. 2011. Spatial scaling of stable night lights. Remote Sensing of Environment 115 (2):269–80. doi: https://doi.org/10.1016/j.rse.2010.08.021.
- Small, C., F. Pozzi, and C. D. Elvidge. 2005. Spatial analysis of global urban extent from DMSP/OLS night lights. Remote Sensing of Environment 96 (3–4):277–91. doi: https://doi.org/10.1016/j.rse.2005.02.002.
- Small, C., and D. Sousa. 2016. Humans on Earth: Global extents of anthropogenic land cover from remote sensing. Anthropocene 14:1–33. doi: https://doi.org/10.1016/j.ancene.2016.04.003.
- Small, C., D. Sousa, G. Yetman, C. Elvidge, and K. MacManus. 2018. Decades of urban growth and development on the Asian megadeltas. Global and Planetary Change 165:62–89. doi: https://doi.org/10.1016/j.gloplacha.2018.03.005.
- Sutton, P., D. Roberts, C. Elvidge, and K. Baugh. 2001. Census from heaven: An estimate of the global human population using night-time satellite imagery. International Journal of Remote Sensing 22 (16):3061–76. doi: https://doi.org/10.1080/01431160010007015.
- Taubenböck, H., M. Wiesner, A. Felbier, M. Marconcini, T. Esch, and S. Dech. 2014. New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data. Applied Geography 47:137–53. doi: https://doi.org/10.1016/j.apgeog.2013.12.002.
- Vogel, R. K., H. V. Savitch, J. Xu, A. G. O. Yeh, W. Wu, A. Sancton, P. Kantor, P. Newman, T. Tsukamoto, P. T. Y. Cheung, et al. 2010. Governing global city regions in China and the West. Progress in Planning 73 (1):1–75. doi: https://doi.org/10.1016/j.progress.2009.12.001.
- Wang, X.-R., E. C.-M. Hui, C. Choguill, and S.-H. Jia. 2015. The new urbanization policy in China: Which way forward? Habitat International 47:279–84. doi: https://doi.org/10.1016/j.habitatint.2015.02.001.
- Wei, Y., H. Liu, W. Song, B. Yu, and C. Xiu. 2014. Normalization of time series DMSP/OLS nighttime light images for urban growth analysis with pseudo invariant features. Landscape and Urban Planning 128:1–13. doi: https://doi.org/10.1016/j.landurbplan.2014.04.015.
- Wu, B., B. Yu, Q. Wu, Z. Chen, S. Yao, Y. Huang, and J. Wu. 2018. An extended minimum spanning tree method for characterizing local urban patterns. International Journal of Geographical Information Science 32 (3):450–75. doi: https://doi.org/10.1080/13658816.2017.1384830.
- Wu, F. 2016. China’s emergent city-region governance: A new form of state spatial selectivity through state-orchestrated rescaling. International Journal of Urban and Regional Research 40 (6):1134–51. doi: https://doi.org/10.1111/1468-2427.12437.
- Xu, J., and A. G. O. Yeh. 2005. City repositioning and competitiveness building in regional development: New development strategies in Guangzhou, China. International Journal of Urban and Regional Research 29 (2):283–308. doi: https://doi.org/10.1111/j.1468-2427.2005.00585.x.
- Xu, J., Y. Zhao, K. Zhong, F. Zhang, X. Liu, and C. Sun. 2018. Measuring spatio-temporal dynamics of impervious surface in Guangzhou, China, from 1988 to 2015, using time-series Landsat imagery. Science of the Total Environment 627:264–81. doi: https://doi.org/10.1016/j.scitotenv.2018.01.155.
- Yang, C., B. Yu, Z. Chen, W. Song, Y. Zhou, X. Li, and J. Wu. 2019. A spatial-socioeconomic urban development status curve from NPP-VIIRS nighttime light data. Remote Sensing 11 (20):2398. doi: https://doi.org/10.3390/rs11202398.
- Yao, S., C. Zhou, D. Wang, C. Xiu, C. Wang, and M. Chen. 2016. 中国城市群新论 [New perspectives on urban agglomerations in China]. Beijing: Beijing Science Press.
- Ye, L. 2014. State-led metropolitan governance in China: Making integrated city regions. Cities 41:200–08. doi: https://doi.org/10.1016/j.cities.2014.03.001.
- Yu, B., S. Shu, H. Liu, W. Song, J. Wu, L. Wang, and Z. Chen. 2014. Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images: A case study of China. International Journal of Geographical Information Science 28 (11):2328–55. doi: https://doi.org/10.1080/13658816.2014.922186.
- Yu, W., and W. Zhou. 2018. Spatial pattern of urban change in two Chinese megaregions: Contrasting responses to national policy and economic mode. The Science of the Total Environment 634:1362–71. doi: https://doi.org/10.1016/j.scitotenv.2018.04.039.
- Yue, H., Q. Guan, Y. Pan, L. Chen, J. Lv, and Y. Yao. 2019. Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: A case study of mainland China. International Journal of Geographical Information Science 33 (5):1082–1105. doi: https://doi.org/10.1080/13658816.2019.1566551.
- Zahn, C. T. 1971. Graph-theoretical methods for detecting and describing Gestalt clusters. IEEE Transactions on Computers C-20 (1):68–86. doi: https://doi.org/10.1109/T-C.1971.223083.
- Zhang, H., X. Li, X. Liu, Y. Chen, J. Ou, N. Niu, Y. Jin, and H. Shi. 2019. Will the development of a high-speed railway have impacts on land use patterns in China? Annals of the American Association of Geographers 109 (3):979–1005. doi: https://doi.org/10.1080/24694452.2018.1500438.
- Zhang, P. 2008. Revitalizing old industrial base of northeast China: Process, policy and challenge. Chinese Geographical Science 18 (2):109–18. doi: https://doi.org/10.1007/s11769-008-0109-2.
- Zhang, Q., Y. Hu, J. Liu, Y. Liu, W. Ren, and J. Li. 2012. A quantitative assessment of the distribution and extent of urban clusters in China. Journal of Geographical Sciences 22 (1):137–51. doi: https://doi.org/10.1007/s11442-012-0917-2.
- Zhang, Q., and S. Su. 2016. Determinants of urban expansion and their relative importance: A comparative analysis of 30 major metropolitans in China. Habitat International 58:89–107. doi: https://doi.org/10.1016/j.habitatint.2016.10.003.
- Zhen, F., B. Wang, and Z. Wei. 2015. The rise of the Internet city in China: Production and consumption of Internet information. Urban Studies 52 (13):2313–29. doi: https://doi.org/10.1177/0042098014547369.
- Zhou, Y., X. Li, G. R. Asrar, S. J. Smith, and M. Imhoff. 2018. A global record of annual urban dynamics (1992–2013) from nighttime lights. Remote Sensing of Environment 219:206–20. doi: https://doi.org/10.1016/j.rse.2018.10.015.
- Zipf, G. K. 1949. Human behaviour and the principle of least-effort: An introduction to human ecology. Cambridge, MA: Addison-Wesley.