IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p8095-d854373.html
   My bibliography  Save this article

Spatial Structure and Development Patterns of Urban Traffic Flow Network in Less Developed Areas: A Sustainable Development Perspective

Author

Listed:
  • Xiaokun Su

    (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610032, China
    China Railway Engineering Corporation, Beijing 100071, China
    These authors contributed equally to this work.)

  • Chenrouyu Zheng

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Yefei Yang

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Yafei Yang

    (Logistics Department, Beijing Wuzi University, Beijing 101149, China)

  • Wen Zhao

    (Institute of History and Tourism Culture, Inner Mongolia University, Hohhot 010021, China)

  • Yue Yu

    (Adam Smith Business School, University of Glasgow, Glasgow G12 8QQ, UK)

Abstract

Sustainable development is a scientific development requirement for economic, social, and ecological development and is particularly important for less developed areas to achieve high quality development. Among them, the traffic flow network is a key contributor to economic activity and an inclusive society, as well as influencing the regional ecology, and is an important way to reflect the connection and structure of cities and towns. Based on the literature related to sustainable development, the article takes the passenger traffic data of highways, railways, and aviation of Inner Mongolia in 2021 as the sample and applies the complex network analysis method to analyze the traffic flow network structure and refine the spatial development patterns. The results show that: (1) The highway network is manifested as the connection between the central urban areas and surrounding banner counties and the connection between the adjacent banner counties. The railroad flow is extended and expanded by the railway line with core cities as the development axis. The internal and external connections of Hohhot are the general form of aviation network. The less developed areas under traffic flow network show obvious pointing of core cities and important node towns. (2) Each traffic flow network has the tendency of scale-free and small-world properties. The influence of key town nodes in the traffic flow network is relatively limited. (3) The town connection patterns under the highway, railway, and air flow networks are “single-core and multi-point”, “axis-spoke”, and “hub-spoke”, respectively. The multiple traffic flows support the development framework of towns in less developed areas. This paper also proposes strategies for the regional transport and urban pattern with complementary advantages and high quality and sustainable development in less developed areas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8095-:d:854373
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/8095/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/13/8095/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xingjian Liu & Ben Derudder & Kang Wu, 2016. "Measuring Polycentric Urban Development in China: An Intercity Transportation Network Perspective," Regional Studies, Taylor & Francis Journals, vol. 50(8), pages 1302-1315, August.
    2. Matsumoto, Hidenobu & Domae, Koji, 2019. "Assessment of competitive hub status of cities in Europe and Asia from an international air traffic perspective," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 88-95.
    3. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    4. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Abubakar, Ismaila Rimi & Aina, Yusuf Adedoyin, 2019. "The prospects and challenges of developing more inclusive, safe, resilient and sustainable cities in Nigeria," Land Use Policy, Elsevier, vol. 87(C).
    6. Jiang, Bin, 2007. "A topological pattern of urban street networks: Universality and peculiarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 647-655.
    7. Porta, Sergio & Crucitti, Paolo & Latora, Vito, 2006. "The network analysis of urban streets: A dual approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 853-866.
    8. Weber, Joe, 2012. "The evolving Interstate Highway System and the changing geography of the United States," Journal of Transport Geography, Elsevier, vol. 25(C), pages 70-86.
    9. Derudder, Ben & Witlox, Frank, 2008. "Mapping world city networks through airline flows: context, relevance, and problems," Journal of Transport Geography, Elsevier, vol. 16(5), pages 305-312.
    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. Shenghan Zhou & Chaofan Wei & Chaofei Song & Yu Fu & Rui Luo & Wenbing Chang & Linchao Yang, 2022. "A Hybrid Deep Learning Model for Short-Term Traffic Flow Pre-Diction Considering Spatiotemporal Features," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    2. 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.
    3. 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.
    4. 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.

    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. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    2. Wagner, Roy, 2008. "On the metric, topological and functional structures of urban networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2120-2132.
    3. Sergio Porta & Vito Latora & Fahui Wang & Salvador Rueda & Emanuele Strano & Salvatore Scellato & Alessio Cardillo & Eugenio Belli & Francisco CÃ rdenas & Berta Cormenzana & Laura Latora, 2012. "Street Centrality and the Location of Economic Activities in Barcelona," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1471-1488, May.
    4. Marc Barthelemy, 2017. "From paths to blocks: New measures for street patterns," Environment and Planning B, , vol. 44(2), pages 256-271, March.
    5. Asya Natapov & Daniel Czamanski & Dafna Fisher-Gewirtzman, 2018. "A Network Approach to Link Visibility and Urban Activity Location," Networks and Spatial Economics, Springer, vol. 18(3), pages 555-575, September.
    6. Zhao, Pengxiang & Jia, Tao & Qin, Kun & Shan, Jie & Jiao, Chenjing, 2015. "Statistical analysis on the evolution of OpenStreetMap road networks in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 59-72.
    7. Shiguang Wang & Dexin Yu & Mei-Po Kwan & Huxing Zhou & Yongxing Li & Hongzhi Miao, 2019. "The Evolution and Growth Patterns of the Road Network in a Medium-Sized Developing City: A Historical Investigation of Changchun, China, from 1912 to 2017," Sustainability, MDPI, vol. 11(19), pages 1-25, September.
    8. Hiroyuki Usui, 2018. "Estimation of geometric route distance from its topological distance: application to narrow road networks in Tokyo," Journal of Geographical Systems, Springer, vol. 20(4), pages 387-412, October.
    9. Boeing, Geoff, 2019. "Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood," SocArXiv 7fxjz, Center for Open Science.
    10. Wang, Shiguang & Yu, Dexin & Lin, Ciyun & Shang, Qiang & Lin, Yu, 2018. "How to connect with each other between roads? An empirical study of urban road connection properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 775-787.
    11. Ding, Rui & Ujang, Norsidah & Hamid, Hussain bin & Manan, Mohd Shahrudin Abd & He, Yuou & Li, Rong & Wu, Jianjun, 2018. "Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 800-817.
    12. Yuji Yoshimura & Paolo Santi & Juan Murillo Arias & Siqi Zheng & Carlo Ratti, 2021. "Spatial clustering: Influence of urban street networks on retail sales volumes," Environment and Planning B, , vol. 48(7), pages 1926-1942, September.
    13. Ding Ma & Itzhak Omer & Toshihiro Osaragi & Mats Sandberg & Bin Jiang, 2019. "Why topology matters in predicting human activities," Environment and Planning B, , vol. 46(7), pages 1297-1313, September.
    14. Rui Ding & Jian Yin & Peng Dai & Lu Jiao & Rong Li & Tongfei Li & Jianjun Wu, 2019. "Optimal Topology of Multilayer Urban Traffic Networks," Complexity, Hindawi, vol. 2019, pages 1-19, October.
    15. Lordan, Oriol & Sallan, Jose M. & Simo, Pep, 2014. "Study of the topology and robustness of airline route networks from the complex network approach: a survey and research agenda," Journal of Transport Geography, Elsevier, vol. 37(C), pages 112-120.
    16. Lei Kang & Chao Yang & Jeffrey C Peters & Peng Zeng, 2016. "Empirical analysis of road networks evolution patterns in a government-oriented development area," Environment and Planning B, , vol. 43(4), pages 698-715, July.
    17. Jiang, Bin, 2008. "Flow dimension and capacity for structuring urban street networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(16), pages 4440-4452.
    18. Dai, Liang & Derudder, Ben & Liu, Xingjian, 2018. "The evolving structure of the Southeast Asian air transport network through the lens of complex networks, 1979–2012," Journal of Transport Geography, Elsevier, vol. 68(C), pages 67-77.
    19. Derudder, Ben & Liu, Xingjian & Hong, Song & Ruan, Shuhe & Wang, Yifei & Witlox, Frank, 2019. "The shifting position of the Journal of Transport Geography in ‘transport geography research’: A bibliometric analysis," Journal of Transport Geography, Elsevier, vol. 81(C).
    20. Jiang, Bin, 2007. "A topological pattern of urban street networks: Universality and peculiarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 647-655.

    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:14:y:2022:i:13:p:8095-:d:854373. 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.