IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3230-d1064150.html
   My bibliography  Save this article

Validation of the Basic Supporting Role of Traffic Networks in Regional Factor Flow: A Case Study of Zhejiang Province

Author

Listed:
  • Liang Ding

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Zhiqian Xu

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Juan Wang

    (College of Urban Construction, Zhejiang Shuren University, Hangzhou 310015, China
    International Science and Technology Cooperation Base of Zhejiang Province: Remote Sensing Image Processing and Application, Hangzhou 310015, China)

  • Jun Zhou

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Junshen Zhang

    (Zhejiang University Urban-Rural Planning & Design Institute Co., Ltd., Hangzhou 310030, China)

  • Xingyue Li

    (Zhejiang Urban and Rural Planning Design Institute Co., Ltd., Hangzhou 310030, China)

Abstract

Castells proposed that “space of flow” has multiple layers, and considered that transportation infrastructure is the carrier of its formation. However, few studies have focused on whether the infrastructure behind factor flows can provide sufficient support. In this paper, the basic supporting role of traffic networks in regional factor flows is examined. Firstly, we use traffic-connection data, enterprise-investment data and human-flow data to build a traffic network, enterprise-association network and inter-city-trip network, respectively. Then, we construct fitting models of the traffic network and the other two networks from two aspects: centrality and connection degree. Finally, this paper analyzes the standard residuals of the fitting results and looks for outliers that are greater than 1.65 or less than −1.65. Through outliers, we can find out where the traffic network cannot support the inter-city factor flows, and where the traffic network is too developed. The conclusions are as follows: First, the immaterial capital flows are still affected by the connectivity of transport facilities. With an improvement in traffic conditions, the capital links between cities can be enhanced correspondingly. Therefore, cities can gather more capital. Second, the attraction and radiation power of high-grade cities in terms of both human and capital flows are far beyond the traffic condition. They also motivate the neighboring cities to form a scale of capital- and human-flow connection that exceeds the average traffic conditions of the whole province. By analyzing the relationship between factor flows and infrastructure, and identifying mismatched networks, this paper will be helpful in many regards. It can provide guidance for Zhejiang Province in formulating transportation strategies. In addition, the conclusions can also provide decision-making support for optimizing regional infrastructure construction.

Suggested Citation

  • Liang Ding & Zhiqian Xu & Juan Wang & Jun Zhou & Junshen Zhang & Xingyue Li, 2023. "Validation of the Basic Supporting Role of Traffic Networks in Regional Factor Flow: A Case Study of Zhejiang Province," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3230-:d:1064150
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3230/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3230/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bastiaan De Goei & Martijn Burger & Frank Van Oort & Michael Kitson, 2010. "Functional Polycentrism and Urban Network Development in the Greater South East, United Kingdom: Evidence from Commuting Patterns, 1981-2001," Regional Studies, Taylor & Francis Journals, vol. 44(9), pages 1149-1170.
    2. Edward J. Malecki, 2002. "The Economic Geography of the Internet’s Infrastructure," Economic Geography, Taylor & Francis Journals, vol. 78(4), pages 399-424, October.
    3. Stefano Battiston & Joao F. Rodrigues & Hamza Zeytinoglu, 2007. "The Network Of Inter-Regional Direct Investment Stocks Across Europe," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 29-51.
    4. Xiaokun Su & Chenrouyu Zheng & Yefei Yang & Yafei Yang & Wen Zhao & Yue Yu, 2022. "Spatial Structure and Development Patterns of Urban Traffic Flow Network in Less Developed Areas: A Sustainable Development Perspective," Sustainability, MDPI, vol. 14(13), pages 1-18, July.
    5. Fei Ma & Yujie Zhu & Kum Fai Yuen & Qipeng Sun & Haonan He & Xiaobo Xu & Zhen Shang & Yan Xu, 2022. "Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network: A Public Search Attention Perspective," IJERPH, MDPI, vol. 19(1), pages 1-25, January.
    6. Xinyue Luo & Mingxing Chen, 2021. "Urban network of China from the perspective of population mobility: Three-dimensional co-occurrence of nodes and links," Environment and Planning A, , vol. 53(5), pages 887-889, August.
    7. Runze Qi & Jinghu Pan & Rong Zhang & Anirban Chakraborti, 2021. "Comparison of Intercity Travel Network Structure during Daily Time and Holiday in China," Complexity, Hindawi, vol. 2021, pages 1-15, August.
    8. Lisha Cheng & Daoqin Tong & Xuepeng Ji & Shijun Wang & Honglei Xu, 2021. "An Urban Network Study of Government Procurement Activities: A Case Study of Northeast China," Complexity, Hindawi, vol. 2021, pages 1-13, March.
    9. Weiyang Zhang & Ben Derudder & Jianghao Wang & Wei Shen, 2018. "Regionalization in the Yangtze River Delta, China, from the perspective of inter-city daily mobility," Regional Studies, Taylor & Francis Journals, vol. 52(4), pages 528-541, April.
    10. Wang, Qi & Lu, Shaokai, 2022. "The influence of hybrid accessibility on tourism economy in prefecture-level cities: Evidence from China's high-speed rail network," Journal of Transport Geography, Elsevier, vol. 104(C).
    11. Sujuan Li & Xiaohui Zhang & Xueling Wu & Erbin Xu, 2022. "Exploration of Urban Network Spatial Structure Based on Traffic Flow, Migration Flow and Information Flow: A Case Study of Shanxi Province, China," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    12. Dan Su & Xiaoqian Fang & Qing Wu & Yu Cao, 2022. "Exploring the Spatiotemporal Integration Evolution of the Urban Agglomeration through City Networks," Land, MDPI, vol. 11(4), pages 1-18, April.
    13. John Friedmann, 1986. "The World City Hypothesis," Development and Change, International Institute of Social Studies, vol. 17(1), pages 69-83, January.
    14. Haoran Yang & Martin Dijst & Patrick Witte & Hans van Ginkel & Jiao’e Wang, 2019. "Comparing passenger flow and time schedule data to analyse High-Speed Railways and urban networks in China," Urban Studies, Urban Studies Journal Limited, vol. 56(6), pages 1267-1287, May.
    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. Qiong Tong & Lulu Zhang & Jie Liu, 2024. "Transportation Infrastructure and Common Prosperity from the Perspective of Chinese-Style Modernization: Enabling Effects and Advancement Paths," Sustainability, MDPI, vol. 16(4), pages 1-20, February.

    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. Yoonjee Baek & Heesun Joo, 2022. "A Study on the Spatial Structure of the Bu-Ul-Gyeong Megacity Using the City Network Paradigm," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    2. Renato A. Orozco Pereira & Ben Derudder, 2010. "Determinants of Dynamics in the World City Network, 2000-2004," Urban Studies, Urban Studies Journal Limited, vol. 47(9), pages 1949-1967, August.
    3. Sujuan Li & Xiaohui Zhang & Xueling Wu & Erbin Xu, 2022. "Exploration of Urban Network Spatial Structure Based on Traffic Flow, Migration Flow and Information Flow: A Case Study of Shanxi Province, China," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    4. Ben Derudder, 2006. "On Conceptual Confusion in Empirical Analyses of a Transnational Urban Network," Urban Studies, Urban Studies Journal Limited, vol. 43(11), pages 2027-2046, October.
    5. Shenzhen Tian & Jialin Jiang & Hang Li & Xueming Li & Jun Yang & Chuanglin Fang, 2023. "Flow space reveals the urban network structure and development mode of cities in Liaoning, China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    6. Bao Meng & Jifei Zhang & Xiaohui Zhang, 2023. "Detecting the Spatial Network Structure of the Guanzhong Plain Urban Agglomeration, China: A Multi-Dimensional Element Flow Perspective," Land, MDPI, vol. 12(3), pages 1-18, February.
    7. Anthony Goerzen & Christian Geisler Asmussen & Bo Bernhard Nielsen, 2024. "Global cities, the liability of foreignness, and theory on place and space in international business," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 55(1), pages 10-27, February.
    8. György Csomós & Géza Tóth, 2016. "Modelling the shifting command and control function of cities through a gravity model based bidimensional regression analysis," Environment and Planning A, , vol. 48(4), pages 613-615, April.
    9. Yin-wah Chu, 2008. "Deconstructing the Global City: Unravelling the Linkages that Underlie Hong Kong's World City Status," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1625-1646, July.
    10. Jeroen van der Waal, 2012. "Post-industrialisation, Immigration and Unemployment: How and Why the Impact of Immigration on Unemployment Differs between Dutch Cities," Urban Studies, Urban Studies Journal Limited, vol. 49(8), pages 1711-1724, June.
    11. Wang, Huanming & Ran, Bing, 2022. "How business-related governance strategies impact paths towards the formation of global cities? An institutional embeddedness perspective," Land Use Policy, Elsevier, vol. 118(C).
    12. Cariolle, Joël, 2021. "International connectivity and the digital divide in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 55(C).
    13. Piotr Raźniak & György Csomós & Sławomir Dorocki & Anna Winiarczyk-Raźniak, 2021. "Exploring the Shifting Geographical Pattern of the Global Command-and-Control Function of Cities," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    14. Vicente Romero de à vila Serrano, 2019. "The Intrametropolitan Geography of Knowledge-Intensive Business Services (KIBS): A Comparative Analysis of Six European and U.S. City-Regions," Economic Development Quarterly, , vol. 33(4), pages 279-295, November.
    15. O'Connor, Kevin & Fuellhart, Kurt, 2013. "Change in air services at second rank cities," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 26-30.
    16. Virag Molnar, 2010. "The Cultural Production of Locality: Reclaiming the ‘European City’ in Post‐Wall Berlin," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 34(2), pages 281-309, June.
    17. 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.
    18. Belderbos, René & Du, Helen S. & Slangen, Arjen, 2020. "When do firms choose global cities as foreign investment locations within countries? The roles of contextual distance, knowledge intensity, and target-country experience," Journal of World Business, Elsevier, vol. 55(1).
    19. John P. Boyd & Matthew C. Mahutga & David A. Smith, 2013. "Measuring Centrality and Power Recursively in the World City Network: A Reply to Neal," Urban Studies, Urban Studies Journal Limited, vol. 50(8), pages 1641-1647, June.
    20. Zwiers, Merle & Kleinhans, Reinout & van Ham, Maarten, 2015. "Divided Cities: Increasing Socio-Spatial Polarization within Large Cities in the Netherlands," IZA Discussion Papers 8882, Institute of Labor Economics (IZA).

    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:15:y:2023:i:4:p:3230-:d:1064150. 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.