IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i9p1808-d1243338.html
   My bibliography  Save this article

Investigating the Spatial Heterogeneity and Influencing Factors of Urban Multi-Dimensional Network Using Multi-Source Big Data in Hangzhou Metropolitan Circle, Eastern China

Author

Listed:
  • Jing Zhang

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Lei Li

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Congmou Zhu

    (Collaborative Innovation Center of Statistical Data Engineering Technology & Application, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Qi Hao

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Xinming Chen

    (Territorial Consolidation Center in Zhejiang Province, Department of Natural Resources of Zhejiang Province, Hangzhou 310007, China)

  • Zhoulu Yu

    (Zhejiang Digital Governance Space Planning and Design Co., Ltd., Hangzhou 310000, China)

  • Muye Gan

    (Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Wuyan Li

    (The Institute of Land and Urban-Rural Development, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

Abstract

Exploring the spatial heterogeneity of urban multi-dimensional networks and influencing factors are of great significance for the integrated development of metropolitan circle. This study took Hangzhou metropolitan circle as an example, using multi-source geospatial big data to obtain urban population, transportation, goods, capital, and information flow information among sub-cities. Then, spatial visualization analysis, social network analysis, and geographical detector were applied to analyze the differences in spatial structure of multiple urban networks and influencing factors in Hangzhou metropolitan circle, respectively. The results showed that (1) the network connections of population, traffic, goods, and capital flows transcended geographical proximity except that of information flow, and population and traffic flow networks were found to be more flattened in Hangzhou metropolitan circle than in other urban networks; (2) the comprehensive urban network of Hangzhou metropolitan circle was imbalanced across sub-cities, presenting hierarchical and unipolar characteristics; and (3) the influence of traffic distance on the network spatial structure of Hangzhou metropolitan was stronger than the geographical distance, and the interactions between traffic distance and socioeconomic factors would further enhance the regional differentiation of the network spatial structure. This study could provide scientific reference for constructing a coordinated and integrated development pattern in a metropolitan circle.

Suggested Citation

  • Jing Zhang & Lei Li & Congmou Zhu & Qi Hao & Xinming Chen & Zhoulu Yu & Muye Gan & Wuyan Li, 2023. "Investigating the Spatial Heterogeneity and Influencing Factors of Urban Multi-Dimensional Network Using Multi-Source Big Data in Hangzhou Metropolitan Circle, Eastern China," Land, MDPI, vol. 12(9), pages 1-16, September.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1808-:d:1243338
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/9/1808/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/9/1808/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wenjia Zhang & Jean-Claude Thill, 2019. "Mesoscale Structures in World City Networks," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(3), pages 887-908, May.
    2. Urška Demšar & Jonathan Reades & Ed Manley & Michael Batty, 2018. "Revisiting the Past: Replicating Fifty-Year-Old Flow Analysis Using Contemporary Taxi Flow Data," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(3), pages 811-828, May.
    3. Fischer, Manfred M., 1980. "Regional taxonomy : A comparison of some hierarchic and non-hierarchic strategies," Regional Science and Urban Economics, Elsevier, vol. 10(4), pages 503-537, November.
    4. P. J. Taylor & D. M. Evans & K. Pain, 2008. "Application of the Interlocking Network Model to Mega-City-Regions: Measuring Polycentricity Within and Beyond City-Regions," Regional Studies, Taylor & Francis Journals, vol. 42(8), pages 1079-1093.
    5. Chauncy D. Harris & Edward L. Ullman, 1945. "The Nature of Cities," The ANNALS of the American Academy of Political and Social Science, , vol. 242(1), pages 7-17, November.
    Full references (including those not matched with items on IDEAS)

    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. Ben Derudder, 2021. "Network Analysis of ‘Urban Systems’: Potential, Challenges, and Pitfalls," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 112(4), pages 404-420, September.
    2. Michael Peneder, 2003. "Industry Classifications: Aim, Scope and Techniques," Journal of Industry, Competition and Trade, Springer, vol. 3(1), pages 109-129, March.
    3. Xu Zhang, 2018. "Multiple creators of knowledge-intensive service networks: A case study of the Pearl River Delta city-region," Urban Studies, Urban Studies Journal Limited, vol. 55(9), pages 2000-2019, July.
    4. Hashem Dadashpoor & Neda Malekzadeh & Sadegh Saeidishirvan, 2023. "A typology of metropolitan spatial structure: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 13667-13693, December.
    5. Linda Steinhübel & Johannes Wegmann & Oliver Mußhoff, 2020. "Digging deep and running dry—the adoption of borewell technology in the face of climate change and urbanization," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 685-706, September.
    6. Daniela Wanek, 2003. "Fuzzy Spatial Analysis Techniques in a Business GIS Environment," ERSA conference papers ersa03p177, European Regional Science Association.
    7. Christof Parnreiter, 2014. "Network or Hierarchical Relations? A Plea for Redirecting Attention to the Control Functions of Global Cities," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(4), pages 398-411, September.
    8. Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
    9. Robert J. Stimson & William Mitchell & David Rohde & Paul Shyy, 2011. "Using functional economic regions to model endogenous regional performance in Australia: implications for addressing the spatial autocorrelation problem," Regional Science Policy & Practice, Wiley Blackwell, vol. 3(3), pages 131-144, August.
    10. Wen Chen & Komali Yenneti & Yehua Dennis Wei & Feng Yuan & Jiawei Wu & Jinlong Gao, 2019. "Polycentricity in the Yangtze River Delta Urban Agglomeration (YRDUA): More Cohesion or More Disparities?," Sustainability, MDPI, vol. 11(11), pages 1-18, June.
    11. Peter J. Taylor, 2011. "The Interlocking Network Model," Chapters, in: Ben Derudder & Michael Hoyler & Peter J. Taylor & Frank Witlox (ed.), International Handbook of Globalization and World Cities, chapter 6, Edward Elgar Publishing.
    12. Papps, Kerry L. & Newell, James O., 2002. "Identifying Functional Labour Market Areas in New Zealand: A Reconnaissance Study Using Travel-to-Work Data," IZA Discussion Papers 443, Institute of Labor Economics (IZA).
    13. Evert Meijers & Martijn Burger & Edward L. Glaeser & Giacomo A. M. Ponzetto & Yimei Zou, 2016. "Urban networks: Connecting markets, people, and ideas," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 17-59, March.
    14. Kirsten Martinus & Matthew Tonts, 2015. "Powering the world city system: energy industry networks and interurban connectivity," Environment and Planning A, , vol. 47(7), pages 1502-1520, July.
    15. Jialu Shi & Xuan Wang & Chengxin Wang & Haimeng Liu & Yi Miao & Fuyi Ci, 2022. "Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    16. Ana Viñuela‐Jiménez & Fernando Rubiera‐Morollón & Begoña Cueto, 2010. "An Analysis of Urban Size and Territorial Location Effects on Employment Probabilities: The Spanish Case," Growth and Change, Wiley Blackwell, vol. 41(4), pages 495-519, December.
    17. Olivera Kostoska & Sonja Mitikj & Petar Jovanovski & Ljupco Kocarev, 2020. "Core-periphery structure in sectoral international trade networks: A new approach to an old theory," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    18. Dan He & Zhijing Sun & Peng Gao, 2019. "Development of Economic Integration in the Central Yangtze River Megaregion from the Perspective of Urban Network Evolution," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    19. Jian Feng & Huali Hou, 2023. "Review of Research on Urban Social Space and Sustainable Development," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
    20. Antti Vasanen, 2012. "Functional Polycentricity: Examining Metropolitan Spatial Structure through the Connectivity of Urban Sub-centres," Urban Studies, Urban Studies Journal Limited, vol. 49(16), pages 3627-3644, December.

    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:jlands:v:12:y:2023:i:9:p:1808-:d:1243338. 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.