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Growth Type and Functional Trajectories: An Empirical Study of Urban Expansion in Nanjing, China

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  • Jianglong Chen
  • Jinlong Gao
  • Feng Yuan

Abstract

Drawing upon the Landsat satellite images of Nanjing from 1985, 1995, 2001, 2007, and 2013, this paper integrates the convex hull analysis and common edge analysis at double scales, and develops a comprehensive matrix analysis to distinguish the different types of urban land expansion. The results show that Nanjing experienced rapid urban expansion, dominated by a mix of residential and manufacturing land from 1985 to 2013, which in turn has promoted Nanjing’s shift from a compact mononuclear city to a polycentric one. Spatial patterns of three specific types of growth, namely infilling, extension, and enclave were quite different in four consecutive periods. These patterns result primarily from the existing topographic constraints, as well as government-oriented urban planning and policies. By intersecting the function maps, we also reveal the functional evolution of newly-developed urban land. Moreover, both self-enhancing and mutual promotion of the newly developed functions are surveyed over the last decade. Our study confirms that the integration of a multi-scale method and multi-perspective analysis, such as the spatiotemporal patterns and functional evolution, helps us to better understand the rapid urban growth in China.

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  • Jianglong Chen & Jinlong Gao & Feng Yuan, 2016. "Growth Type and Functional Trajectories: An Empirical Study of Urban Expansion in Nanjing, China," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-18, February.
  • Handle: RePEc:plo:pone00:0148389
    DOI: 10.1371/journal.pone.0148389
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    1. Jingxiang Zhang & Fulong Wu, 2006. "China's changing economic governance: Administrative annexation and the reorganization of local governments in the Yangtze River Delta," Regional Studies, Taylor & Francis Journals, vol. 40(1), pages 3-21.
    2. Jianxi Feng & Martin Dijst & Bart Wissink & Jan Prillwitz, 2014. "Understanding Mode Choice in the Chinese Context: The Case of Nanjing Metropolitan Area," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(3), pages 315-330, July.
    3. Karen C. Seto & Robert 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, University of Wisconsin Press, vol. 79(1), pages 106-121.
    4. Hao Chen & Qiyan Wu & Jianquan Cheng & Zhifei Ma & Weixuan Song, 2015. "Scaling-up Strategy as an Appropriate Approach for Sustainable New Town Development? Lessons from Wujin, Changzhou, China," Sustainability, MDPI, vol. 7(5), pages 1-23, May.
    5. Chengri Ding & Xingshuo Zhao, 2011. "Assessment of Urban Spatial-Growth Patterns in China During Rapid Urbanization," Chinese Economy, Taylor & Francis Journals, vol. 44(1), pages 46-71, January.
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    Cited by:

    1. Jianglong Chen & Jinlong Gao & Feng Yuan & Yehua Dennis Wei, 2016. "Spatial Determinants of Urban Land Expansion in Globalizing Nanjing, China," Sustainability, MDPI, vol. 8(9), pages 1-25, August.
    2. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    3. Feng, Rundong & Wang, Kaiyong, 2022. "The direct and lag effects of administrative division adjustment on urban expansion patterns in Chinese mega-urban agglomerations," Land Use Policy, Elsevier, vol. 112(C).
    4. Liqin Zhang & Ruibo Han & Huhua Cao, 2021. "Understanding Urban Land Growth through a Social-Spatial Perspective," Land, MDPI, vol. 10(4), pages 1-23, March.
    5. Keyu Zhai & Xing Gao & Yuerong Zhang & Meiling Wu, 2019. "Perceived Sustainable Urbanization Based on Geographically Hierarchical Data Structures in Nanjing, China," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    6. Wei Tang & Tiancai Zhou & Jian Sun & Yurui Li & Weipeng Li, 2017. "Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City," Sustainability, MDPI, vol. 9(9), pages 1-19, August.
    7. Szymon Czyża & Karol Szuniewicz & Iwona Cieślak & Andrzej Biłozor & Tomasz Bajerowski, 2023. "An Analysis of the Spatial Development of European Cities Based on Their Geometry and the CORINE Land Cover (CLC) Database," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    8. Lei Luo & Zhenhua Zheng & Jing Luo & Yuqiu Jia & Qi Zhang & Chun Wu & Yifeng Zhang & Jia Sun, 2020. "Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    9. Ge Shi & Jie Shan & Liang Ding & Peng Ye & Yang Li & Nan Jiang, 2019. "Urban Road Network Expansion and Its Driving Variables: A Case Study of Nanjing City," IJERPH, MDPI, vol. 16(13), pages 1-16, June.
    10. Zhong, Taiyang & Zhang, Xiaoling & Huang, Xianjin & Liu, Fang, 2019. "Blessing or curse? Impact of land finance on rural public infrastructure development," Land Use Policy, Elsevier, vol. 85(C), pages 130-141.

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