IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i8p3208-d346306.html
   My bibliography  Save this article

Urban Network and Regions in China: An Analysis of Daily Migration with Complex Networks Model

Author

Listed:
  • Wangbao Liu

    (Department of Geography, South China Normal University, Guangzhou 510631, China)

  • Quan Hou

    (Shenzhen Institute of Building Research Co., Ltd., Shenzhen 518049, China)

  • Zhihao Xie

    (Dongguan Urban Planning and Design Institute, Dongguan 523000, China)

  • Xin Mai

    (Department of Geography, South China Normal University, Guangzhou 510631, China)

Abstract

This paper analyzed urban network and regions in China using a complex network model. Data of daily migration among 348 prefectural-level cities from the Baidu Map location-based service (LBS) Open Platform were used to calculate urban network metrics and to delineate boundaries of urban regions. Results show that urban network in China displays an obvious hierarchy in terms of attracting and distributing population and controlling regional interaction. Regional integration has become increasingly prominent, as administrative boundaries and natural barriers no longer have strong impacts on urban connections. Overall, 18 urban regions were identified according to urban connectivity, and the degree of urban connection is higher among cities in the same urban region. Due to geographical proximity and close interaction, several provincial capital cities form an urban region with cities from neighboring provinces instead of those from the same province. Identification of urban region boundaries is of significant importance for sustainable development and policymaking on the demarcation of urban economic zones, urban agglomerations, and future adjustment of provincial administrative boundaries in China.

Suggested Citation

  • Wangbao Liu & Quan Hou & Zhihao Xie & Xin Mai, 2020. "Urban Network and Regions in China: An Analysis of Daily Migration with Complex Networks Model," Sustainability, MDPI, vol. 12(8), pages 1-12, April.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3208-:d:346306
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/8/3208/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/8/3208/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kyle F Davis & Paolo D'Odorico & Francesco Laio & Luca Ridolfi, 2013. "Global Spatio-Temporal Patterns in Human Migration: A Complex Network Perspective," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-8, January.
    2. Garrett Dash Nelson & Alasdair Rae, 2016. "An Economic Geography of the United States: From Commutes to Megaregions," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-23, November.
    3. Yu Liu & Zhengwei Sui & Chaogui Kang & Yong Gao, 2014. "Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    4. Manuel Castells, 2002. "Local and Global: Cities in the Network Society," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 93(5), pages 548-558, December.
    5. Matsumoto, Hidenobu, 2004. "International urban systems and air passenger and cargo flows: some calculations," Journal of Air Transport Management, Elsevier, vol. 10(4), pages 239-247.
    6. Roberto Patuelli & Aura Reggiani & Sean Gorman & Peter Nijkamp & Franz-Josef Bade, 2007. "Network Analysis of Commuting Flows: A Comparative Static Approach to German Data," Networks and Spatial Economics, Springer, vol. 7(4), pages 315-331, December.
    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. Karolina Dudzic-Gyurkovich, 2023. "Study of Centrality Measures in the Network of Green Spaces in the City of Krakow," Sustainability, MDPI, vol. 15(18), pages 1-30, September.
    2. Ruomu Miao & Yuxia Wang & Shuang Li, 2021. "Analyzing Urban Spatial Patterns and Functional Zones Using Sina Weibo POI Data: A Case Study of Beijing," Sustainability, MDPI, vol. 13(2), pages 1-15, January.

    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. Neal, Zachary P. & Derudder, Ben & van Meeteren, Michiel, 2022. "When is a matrix a geographical network?," OSF Preprints 6jhzm, Center for Open Science.
    3. Nathalie Van Nuffel & Ben Derudder & Frank Witlox, 2010. "Even Important Connections Are Not Always Meaningful: On The Use Of A Polarisation Measure In A Typology Of European Cities In Air Transport Networks," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 101(3), pages 333-348, July.
    4. Lucas Martínez‐Bernabéu & José Manuel Casado‐Díaz, 2021. "Standard modularity is unsuitable for functional regionalization of spatial interaction data," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1323-1330, October.
    5. Kang Wu & Jingxian Tang & Ying Long, 2019. "Delineating the Regional Economic Geography of China by the Approach of Community Detection," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    6. Alexander, D.W. & Merkert, R., 2021. "Applications of gravity models to evaluate and forecast US international air freight markets post-GFC," Transport Policy, Elsevier, vol. 104(C), pages 52-62.
    7. Jinzhao Song & Qing Feng & Xiaoping Wang & Hanliang Fu & Wei Jiang & Baiyu Chen, 2018. "Spatial Association and Effect Evaluation of CO 2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    8. Mohíno, Inmaculada & Ureña, José M. & Solís, Eloy, 2016. "Transport infrastructure and territorial cohesion in rural metro-adjacent regions: A multimodal accessibility approach. The case of Castilla-La Mancha in the context of Madrid (Spain)," Journal of Transport Geography, Elsevier, vol. 57(C), pages 115-133.
    9. Nikhil Kaza & Katherine Nesse, 2021. "Characterizing the Regional Structure in the United States: A County-based Analysis of Labor Market Centrality," International Regional Science Review, , vol. 44(5), pages 560-581, September.
    10. Gong, Qiang & Wang, Kun & Fan, Xingli & Fu, Xiaowen & Xiao, Yi-bin, 2018. "International trade drivers and freight network analysis - The case of the Chinese air cargo sector," Journal of Transport Geography, Elsevier, vol. 71(C), pages 253-262.
    11. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    12. Van Asch, Thomas & Dewulf, Wouter & Kupfer, Franziska & Cárdenas, Ivan & Van de Voorde, Eddy, 2020. "Cross-border e-commerce logistics – Strategic success factors for airports," Research in Transportation Economics, Elsevier, vol. 79(C).
    13. Ji Han & Jiabin Liu, 2018. "Urban Spatial Interaction Analysis Using Inter-City Transport Big Data: A Case Study of the Yangtze River Delta Urban Agglomeration of China," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    14. Bilong Shen & Weimin Zheng & Kathleen M. Carley, 2018. "Urban Activity Mining Framework for Ride Sharing Systems Based on Vehicular Social Networks," Networks and Spatial Economics, Springer, vol. 18(3), pages 705-734, September.
    15. Chen, Jieh-Haur & Wei, Hsi-Hsien & Chen, Chih-Lin & Wei, Hsin-Yi & Chen, Yi-Ping & Ye, Zhongnan, 2020. "A practical approach to determining critical macroeconomic factors in air-traffic volume based on K-means clustering and decision-tree classification," Journal of Air Transport Management, Elsevier, vol. 82(C).
    16. Porat, Idan & Benguigui, Lucien, 2021. "Global migration topology analysis and modeling of directed flow network 2006–2010," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    17. Daniel Griffith & Yongwan Chun, 2015. "Spatial Autocorrelation in Spatial Interactions Models: Geographic Scale and Resolution Implications for Network Resilience and Vulnerability," Networks and Spatial Economics, Springer, vol. 15(2), pages 337-365, June.
    18. Shao, Shuai & Zhang, Xuebin & Yang, Lili, 2023. "Natural resource dependence and urban shrinkage: The role of human capital accumulation," Resources Policy, Elsevier, vol. 81(C).
    19. Mark He & Joseph Glasser & Nathaniel Pritchard & Shankar Bhamidi & Nikhil Kaza, 2020. "Demarcating geographic regions using community detection in commuting networks with significant self-loops," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-31, April.
    20. Liu, Zhaoyang & Hanley, Nick & Campbell, Danny, 2020. "Linking urban air pollution with residents’ willingness to pay for greenspace: A choice experiment study in Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).

    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:12:y:2020:i:8:p:3208-:d:346306. 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.