IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0148389.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148389
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0148389&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0148389?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yong Liu & Wenze Yue & Peilei Fan, 2011. "Spatial Determinants of Urban Land Conversion in Large Chinese Cities: A Case of Hangzhou," Environment and Planning B, , vol. 38(4), pages 706-725, August.
    2. Jinlong Gao & Yehua Dennis Wei & Wen Chen & Komali Yenneti, 2015. "Urban Land Expansion and Structural Change in the Yangtze River Delta, China," Sustainability, MDPI, vol. 7(8), pages 1-27, July.
    3. Zhou, Changchang & Chan, Roger C.K., 2022. "State-scalar politics of rural land reform in China: The case of Wujin district," Land Use Policy, Elsevier, vol. 114(C).
    4. Wanfu Jin & Chunshan Zhou & Shijie Li & Guojun Zhang, 2021. "Factors affecting newly increased construction land at different development stages: Evidence from 352 Chinese cities," Environment and Planning B, , vol. 48(2), pages 358-375, February.
    5. Chau, Nancy H. & Qin, Yu & Zhang, Weiwen, 2015. "Networked Leaders in the Shadow of the Market – A Chinese Experiment in Allocating Land Conversion Rights," Working Papers 250022, Cornell University, Department of Applied Economics and Management.
    6. Fulong Wu, 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, Wiley Blackwell, vol. 40(6), pages 1134-1151, November.
    7. David Hidalgo García & Julián Arco Díaz & Adelaida Martín Martín & Emilio Gómez Cobos, 2022. "Spatiotemporal Analysis of Urban Thermal Effects Caused by Heat Waves through Remote Sensing," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    8. Pengfei Ban & Wei Zhan & Qifeng Yuan & Xiaojian Li, 2021. "Delineating the Urban Areas of a Cross-Boundary City with Open-Access Data: Guangzhou–Foshan, South China," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    9. Shutian Zhou & Guofang Zhai & Yijun Shi, 2018. "What Drives the Rise of Metro Developments in China? Evidence from Nantong," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    10. 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).
    11. Jing Tao & Ying Wang & Rong Wang & Chuanmin Mi, 2019. "Do Compactness and Poly-Centricity Mitigate PM 10 Emissions? Evidence from Yangtze River Delta Area," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    12. Tommaso Orusa & Annalisa Viani & Enrico Borgogno-Mondino, 2024. "Earth Observation Data and Geospatial Deep Learning AI to Assign Contributions to European Municipalities Sen4MUN: An Empirical Application in Aosta Valley (NW Italy)," Land, MDPI, vol. 13(1), pages 1-21, January.
    13. Yun Zhong & Xiaobo Su, 2019. "Spatial selectivity and intercity cooperation between Guangdong and Hong Kong," Urban Studies, Urban Studies Journal Limited, vol. 56(14), pages 3011-3029, November.
    14. Peng Gao & Dan He & Zhijing Sun & Yuemin Ning, 2020. "Characterizing functionally integrated regions in the Central Yangtze River Megaregion from a city‐network perspective," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1357-1379, September.
    15. Weiguo Liu & Karen C Seto, 2008. "Using the ART-MMAP Neural Network to Model and Predict Urban Growth: A Spatiotemporal Data Mining Approach," Environment and Planning B, , vol. 35(2), pages 296-317, April.
    16. Huan Li & Yehua Dennis Wei & Yuemin Ning, 2016. "Spatial and Temporal Evolution of Urban Systems in China during Rapid Urbanization," Sustainability, MDPI, vol. 8(7), pages 1-17, July.
    17. Dezhong Duan & Yang Zhang & Ying Chen & Debin Du, 2019. "Regional Integration in the Inter-City Technology Transfer System of the Yangtze River Delta, China," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    18. Enayat Mirzaei & Dominique Mignot, 2021. "An Empirical Analysis of Mode Choice Decision for Utilitarian and Hedonic Trips: Evidence from Iran," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    19. Guangjin Tian & Zhifeng Yang & Yichun Xie, 2007. "Detecting Spatiotemporal Dynamic Landscape Patterns Using Remote Sensing and the Lacunarity Index: A Case Study of Haikou City, China," Environment and Planning B, , vol. 34(3), pages 556-569, June.
    20. Taiyang Zhong & Xianjin Huang & Lifang Ye & Steffanie Scott, 2014. "The Impacts on Illegal Farmland Conversion of Adopting Remote Sensing Technology for Land Inspection in China," Sustainability, MDPI, vol. 6(7), pages 1-26, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0148389. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.