IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p5083-d268054.html
   My bibliography  Save this article

Characterization of Territorial Spatial Agglomeration Based on POI Data: A Case Study of Ningbo City, China

Author

Listed:
  • Changhui Hu

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

  • Weidong Liu

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

  • Yuqiu Jia

    (Wuhan Land Use and Urban Spatial Planning Research Center, Wuhan 430014, China)

  • Yaya Jin

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

Abstract

Territorial space is a valuable resource, and it is the home on which human beings depend for their survival and development. However, due to disorder, excessive and decentralized development, resource constraints are tightening, ecological environment deterioration, regional development imbalance and other prominent problems. Agglomeration development has become the strategic choice of territorial space development in China. Therefore, understanding the agglomeration characteristics of territorial space is helpful for local governments to carry out territorial spatial planning. Based on POI (point of interest) data, the method of spatial point pattern analysis is used to characterize the territorial spatial agglomeration in Ningbo city. We found that the elliptic center of Ningbo’s territorial space is distributed in Haisu district. The whole trend is along the “northwest to southeast” direction, and there is a significant directionality. The entire territorial space presents spatial agglomeration, and the agglomeration characteristics of the commercial space are more significant. Moreover, there is a spatial scale effect on the agglomeration of territorial space, which changes with the geographical distance attenuation and presents an inverted “U” structure. With Sanjiangkou as the core, the agglomeration hotspots of all levels distribute in a gradient manner, and the spatial differentiation of “center-periphery” is obvious. The characteristics of its spatial distribution are “river-oriented” and “sea-oriented”. In conclusion, the locking effect of a single center is still significantly higher than the evacuation “magnetic force” of multiple centers in Ningbo city. In the future, we should effectively disperse the densely clustered areas in the central urban area, and focus on cultivating peripheral sub-centers/groups to enhance the positive interaction between multiple centers.

Suggested Citation

  • Changhui Hu & Weidong Liu & Yuqiu Jia & Yaya Jin, 2019. "Characterization of Territorial Spatial Agglomeration Based on POI Data: A Case Study of Ningbo City, China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5083-:d:268054
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/5083/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/18/5083/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Coro Chasco & Ana Lopez & Rachel Guillain, 2012. "The Influence of Geography on the Spatial Agglomeration of Production in the European Union," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(2), pages 247-263, June.
    2. C. Cindy Fan & Allen J. Scott, 2003. "Industrial Agglomeration and Development: A Survey of Spatial Economic Issues in East Asia and a Statistical Analysis of Chinese Regions," Economic Geography, Taylor & Francis Journals, vol. 79(3), pages 295-319, July.
    3. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    4. Giulio Cainelli & Donato Iacobucci & Enrica Morganti, 2006. "Spatial agglomeration and business groups: New evidence from Italian industrial districts," Regional Studies, Taylor & Francis Journals, vol. 40(5), pages 507-518.
    5. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    6. Nils-Bastian Heidenreich & Anja Schindler & Stefan Sperlich, 2013. "Bandwidth selection for kernel density estimation: a review of fully automatic selectors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 403-433, October.
    7. Klimis Vogiatzoglou & Theodore Tsekeris, 2013. "Spatial Agglomeration of Manufacturing in Greece: Sectoral Patterns and Determinants," European Planning Studies, Taylor & Francis Journals, vol. 21(12), pages 1853-1872, December.
    8. Michiel Gerritse & Daniel Arribas-Bel, 2018. "Concrete agglomeration benefits: do roads improve urban connections or just attract more people?," Regional Studies, Taylor & Francis Journals, vol. 52(8), pages 1134-1149, August.
    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. Jiangang Li & Songhong Li & Jun Lei & Xiaolei Zhang & Jianwei Qi & Buayxam Tohti & Zuliang Duan, 2022. "Analysis of Spatial Structure in the Kashgar Metropolitan Area, China," Land, MDPI, vol. 11(6), pages 1-22, May.
    2. Yuyu Wu & Jia Chen, 2023. "Spatial Distribution Heterogeneity and Influencing Factors of Different Leisure Agriculture Types in the City," Agriculture, MDPI, vol. 13(9), pages 1-20, August.
    3. 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.
    4. Xinyu Liu & Yibing Guan & Zihan Wu & Lufeng Nie & Xiang Ji, 2023. "Big Data Application in Urban Commercial Center System Evaluation," Sustainability, MDPI, vol. 15(5), pages 1-25, February.
    5. Guoping Xiong & Xin Cao & Nicholas A. S. Hamm & Tao Lin & Guoqin Zhang & Binghong Chen, 2021. "Unbalanced Development Characteristics and Driving Mechanisms of Regional Urban Spatial Form: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-39, March.

    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. 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.
    2. Timo Mitze & Torben Schmidt, 2015. "Internal migration, regional labor markets and the role of agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 61-101, October.
    3. Theodore Tsekeris & Klimis Vogiatzoglou, 2014. "Public infrastructure investments and regional specialization: empirical evidence from Greece," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(3), pages 265-289, August.
    4. Renjith Ramachandran & Ketan Reddy & Subash Sasidharan, 2020. "Agglomeration and Productivity: Evidence from Indian Manufactuaring," Studies in Microeconomics, , vol. 8(1), pages 75-94, June.
    5. Zidong Yu & Jinyan Zu & Yang Xu & Yimin Chen & Xintao Liu, 2022. "Spatial and functional organizations of industrial agglomerations in China’s Greater Bay Area," Environment and Planning B, , vol. 49(7), pages 1995-2010, September.
    6. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    7. Guido Fioretti, 2002. "Individual Contacts, Collective Patterns - Prato 1975-97, a Story of Interactions," Tinbergen Institute Discussion Papers 02-109/3, Tinbergen Institute.
    8. Wahl, Fabian, 2016. "Does medieval trade still matter? Historical trade centers, agglomeration and contemporary economic development," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 50-60.
    9. Wang, Xuliang & Xu, Lulu & Ye, Qin & He, Shi & Liu, Yi, 2022. "How does services agglomeration affect the energy efficiency of the service sector? Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    10. Jiawei Wu & Yehua Dennis Wei & Qizhai Li & Feng Yuan, 2018. "Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta," Sustainability, MDPI, vol. 10(8), pages 1-28, July.
    11. Yang, Chih-Hai & Lin, Hui-Lin & Li, Hsiao-Yun, 2013. "Influences of production and R&D agglomeration on productivity: Evidence from Chinese electronics firms," China Economic Review, Elsevier, vol. 27(C), pages 162-178.
    12. Simon X. B. Zhao & David W. H. Wong & David W. S. Wong & Y. P. Jiang, 2020. "Ever‐transient FDI and ever‐polarizing regional development: Revisiting conventional theories of regional development in the context of China, Southeast and South Asia," Growth and Change, Wiley Blackwell, vol. 51(1), pages 338-361, March.
    13. Hao, Yu & Guo, Yunxia & Li, Suixin & Luo, Shiyue & Jiang, Xueting & Shen, Zhiyang & Wu, Haitao, 2022. "Towards achieving the sustainable development goal of industry: How does industrial agglomeration affect air pollution?," Innovation and Green Development, Elsevier, vol. 1(1).
    14. Wang, Chao & Zhang, Xinyi & Vilela, André L.M. & Liu, Chao & Stanley, H. Eugene, 2019. "Industrial structure upgrading and the impact of the capital market from 1998 to 2015: A spatial econometric analysis in Chinese regions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 189-201.
    15. Ferhan Gezici & Burçin Yazgı Walsh & Sinem Metin Kacar, 2017. "Regional and structural analysis of the manufacturing industry in Turkey," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 209-230, July.
    16. Marta Yánez Contreras & Marta Yánez Contreras, 2010. "El mercado laboral desde una perspectiva espacial," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, September.
    17. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    18. Guoping Xiong & Xin Cao & Nicholas A. S. Hamm & Tao Lin & Guoqin Zhang & Binghong Chen, 2021. "Unbalanced Development Characteristics and Driving Mechanisms of Regional Urban Spatial Form: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    19. Yingming Zhu & Yuan Li & Yi Wang & Lingfeng Li, 2021. "The Impact of Water and Soil Scarcity and Pollution on Industrial Agglomeration: Evidence from China," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    20. Dean Hanink & Robert Cromley & Avraham Ebenstein, 2012. "Wage-based evidence of returns to external scale in China’s manufacturing: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 1-16, August.

    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:gam:jsusta:v:11:y:2019:i:18:p:5083-:d:268054. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.