IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p1757-d1342866.html

Research on Urban Street Network Structure Based on Spatial Syntax and POI Data

Author

Listed:
  • Luxiao Yang

    (Guangxi Key Laboratory of Green Building Materials and Construction Industrialization, School of Civil Engineering, Guilin University of Technology, Guilin 541004, China)

  • Qizhi Jin

    (Guangxi Key Laboratory of Green Building Materials and Construction Industrialization, School of Civil Engineering, Guilin University of Technology, Guilin 541004, China)

  • Feng Fu

    (Department of Engineering, School of Science and Technology, University of London, London EC1V OHB, UK)

Abstract

The rapid development of cities has led to increasingly problems in the road network structure of urban streets. Combining emerging big data technology with traditional street network analysis methods has become a new way to tackle it. Guilin is a famous international tourist city, and the “Two Rivers and Four Lakes” scenic area is an iconic symbol of Guilin’s scenery. Its streets connect various tourist spots. This study focused on the street’s layout of the “Two Rivers and Four Lakes” scenic area, and used a combination of spatial syntax and POI big data to analyse their spatial structure. The research results indicated that: (1) there was a positive correlation between the global integration value of the street and the POI value; (2) by combining functional density indicators with global integration analysis, streets that significantly deviate from the overall trend can be identified, and classified according to their characteristics to reveal the reasons for their contradictions; (3) we needed to propose three plans for optimizing the proportion of high street, enhancing street functions, and “improving street space” for different types of streets to ultimately realize the purpose of sustainable development of streets and cities.

Suggested Citation

  • Luxiao Yang & Qizhi Jin & Feng Fu, 2024. "Research on Urban Street Network Structure Based on Spatial Syntax and POI Data," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1757-:d:1342866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/1757/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/1757/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jansuwan, Sarawut & Liu, Zhaocai & Song, Ziqi & Chen, Anthony, 2021. "An evaluation framework of automated electric transportation system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    2. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    3. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    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. Rongting Li & Xinyi Liu & Mengyixin Li, 2025. "Spatial Vitality Assessment of Urban Post-Industrial Landscapes Using Multi-Source Data: A Case Study of Beijing Shougang Park," Land, MDPI, vol. 14(9), pages 1-22, September.

    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. Chahine, Ricardo & Duarte, Jorge & Gkritza, Konstantina, 2025. "Effect of protected bike lanes on bike-sharing ridership: A New York City case study," Journal of Transport Geography, Elsevier, vol. 123(C).
    2. Matteo Böhm & Mirco Nanni & Luca Pappalardo, 2022. "Gross polluters and vehicle emissions reduction," Nature Sustainability, Nature, vol. 5(8), pages 699-707, August.
    3. Lorenzo Barbieri & Roberto D’Autilia & Paola Marrone & Ilaria Montella, 2023. "Graph Representation of the 15-Minute City: A Comparison between Rome, London, and Paris," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    4. Rahman, Fabiha & Oliver, Robert & Buehler, Ralph & Lee, Jinhyung & Crawford, Thomas & Kim, Junghwan, 2025. "Impacts of point of interest (POI) data selection on 15-Minute City (15-MC) accessibility scores and inequality assessments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 195(C).
    5. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
    6. Brinkley, Catherine & Raj, Subhashni, 2022. "Perfusion and urban thickness: The shape of cities," Land Use Policy, Elsevier, vol. 115(C).
    7. Ilan Lobel & Sébastien Martin, 2025. "Detours in Shared Rides," Management Science, INFORMS, vol. 71(2), pages 1716-1736, February.
    8. Gal Neria & Florentin D. Hildebrandt & Michal Tzur & Marlin W. Ulmer, 2025. "The Restaurant Meal Delivery Problem with Ghost Kitchens," Transportation Science, INFORMS, vol. 59(2), pages 433-450, March.
    9. Spencer Leitch & Zhiyuan Wei, 2024. "Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling," Annals of Operations Research, Springer, vol. 341(2), pages 1057-1074, October.
    10. Alves d'Acampora, Bárbara Heliodora & Maraschin, Clarice & Taufemback, Cleiton Guollo, 2023. "Landscape ecology and urban spatial configuration: Exploring a methodological relationship. Application in Pelotas, Brazil," Ecological Modelling, Elsevier, vol. 486(C).
    11. Jinmo Rhee, 2025. "Comparative analysis of urban structures in three American Rust Belt cities," Environment and Planning B, , vol. 52(9), pages 2066-2083, November.
    12. Elijah Knaap & Sergio Rey, 2024. "Segregated by design? Street network topological structure and the measurement of urban segregation," Environment and Planning B, , vol. 51(7), pages 1408-1429, September.
    13. Pan, Huijun & Huang, Yu, 2024. "TOD typology and station area vibrancy: An interpretable machine learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
    14. Ali Enes Dingil & Federico Rupi & Joerg Schweizer & Zaneta Stasiskiene & Kasra Aalipour, 2019. "The Role of Culture in Urban Travel Patterns: Quantitative Analyses of Urban Areas Based on Hofstede’s Culture Dimensions," Social Sciences, MDPI, vol. 8(8), pages 1-12, July.
    15. Geoff Boeing, 2020. "A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood," Environment and Planning B, , vol. 47(4), pages 590-608, May.
    16. Geoff Boeing, 2020. "Urban Street Network Analysis in a Computational Notebook," REGION, European Regional Science Association, vol. 7, pages 39-51.
    17. Basso, Franco & Cox, Tomás & Pezoa, Raúl & Maldonado, Tomás & Varas, Mauricio, 2024. "Characterizing last-mile freight transportation using mobile phone data: The case of Santiago, Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
    18. Lin, Jie & Cromley, Gordon, 2023. "Using the transportation problem to build a congestion/threshold constrained spatial accessibility model," Journal of Transport Geography, Elsevier, vol. 112(C).
    19. Waddell, Paul & Boeing, Geoff & Gardner, Max & Porter, Emily, 2018. "An Integrated Pipeline Architecture for Modeling Urban Land Use, Travel Demand, and Traffic Assignment," SocArXiv 74zaw, Center for Open Science.
    20. Chrysafis Vogiatzis & Eleftheria Kontou, 2025. "Case—Racial Bias in Automated Traffic Law Enforcement and the Price of Unjustness," INFORMS Transactions on Education, INFORMS, vol. 25(2), pages 128-135, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:16:y:2024:i:5:p:1757-:d:1342866. 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.