IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v50y2023i4p1057-1071.html

Measuring the superblock based on a hierarchy matrix of geometry, configuration, network, and area: The case of Nanjing

Author

Listed:
  • Yacheng Song
  • Yueting Pang

Abstract

A superblock is a core unit of the built form of an old city in China, in which various morphological elements are organized and related through a hierarchical structure. Existing quantitative studies are generally limited to a single perspective or object and do not support the classification of morphological types through comprehensive analysis methods. In this study, a new cognitive framework, the hierarchy matrix, is presented to bridge this knowledge gap. It consists of four dimensions: configuration of network, geometry of network, configuration of area, and geometry of area. These dimensions are formed by the intersection of the two coordinates of perspective and object. Based on their measurement, the overall characteristics of the superblocks are represented and compared through matrix diagrams. Subsequently, the validity and adaptability of this quantitative approach are verified through an empirical analysis of Nanjing’s old city superblocks. The results reveal the morphological type of superblocks, and their causes are analyzed through the correlation with the urban environmental background. hierarchy matrix is potentially a useful method for studying the complex emerging built form of rapidly changing cities, especially in developing countries, such as China. The hierarchical matrix method is not only an analysis tool but also has the potential to develop an evaluation method to provide scientific support for the practice of urban renewal.

Suggested Citation

  • Yacheng Song & Yueting Pang, 2023. "Measuring the superblock based on a hierarchy matrix of geometry, configuration, network, and area: The case of Nanjing," Environment and Planning B, , vol. 50(4), pages 1057-1071, May.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:4:p:1057-1071
    DOI: 10.1177/23998083221133393
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083221133393
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083221133393?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stephen Marshall & Jorge Gil & Karl Kropf & Martin Tomko & Lucas Figueiredo, 2018. "Street Network Studies: from Networks to Models and their Representations," Networks and Spatial Economics, Springer, vol. 18(3), pages 735-749, September.
    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. Dimitrios TSIOTAS & Nikolaos AXELIS & Serafeim POLYZOS, 2022. "Detecting City-Dipoles In Greece Based On Intercity Commuting," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 11-30, June.
    2. Alice Rauber & Romulo Krafta, 2023. "A Quanti-Qualitative Approach to Alexander’s Harmony-Seeking Computations," Urban Planning, Cogitatio Press, vol. 8(3), pages 246-258.
    3. repec:osf:socarx:7fxjz_v1 is not listed on IDEAS
    4. Elek Pafka & Carlo Andrea Biraghi, 2025. "Walkability: From Spatial Analytics to Urban Coding and Actual Walking," Urban Planning, Cogitatio Press, vol. 10.
    5. Maria Stavara & Dimitrios Tsiotas, 2024. "A Combined Graph Theoretic And Transport Planning Framework For The Economic And Functional Analysis Of Large-Scale Road Networks," Sustainable Regional Development Scientific Journal, Sustainable Regional Development Scientific Journal, vol. 0(2), pages 27-39, October.
    6. Lingzhu Zhang & Alain JF Chiaradia, 2022. "Walking in the cities without ground, how 3d complex network volumetrics improve analysis," Environment and Planning B, , vol. 49(7), pages 1857-1874, September.
    7. Ben Derudder & Zachary Neal, 2018. "Uncovering Links Between Urban Studies and Network Science," Networks and Spatial Economics, Springer, vol. 18(3), pages 441-446, September.
    8. Ouassim Manout & Patrick Bonnel & François Pacull, 2021. "Spatial Aggregation Issues in Traffic Assignment Models," Networks and Spatial Economics, Springer, vol. 21(1), pages 1-29, March.
    9. Boeing, Geoff, 2021. "Spatial information and the legibility of urban form: Big data in urban morphology," International Journal of Information Management, Elsevier, vol. 56(C).
    10. Yat Yen & Pengjun Zhao & Muhammad T Sohail, 2021. "The morphology and circuity of walkable, bikeable, and drivable street networks in Phnom Penh, Cambodia," Environment and Planning B, , vol. 48(1), pages 169-185, January.
    11. Jing Cao & Haichao Ling & Tao Li & Shiyu Wang & Shengchuan Jiang & Cong Zhao, 2024. "A Graph-Based Scheme Generation Method for Variable Traffic Organization in Parking Lots," Sustainability, MDPI, vol. 16(11), pages 1-18, June.
    12. Nir Kaplan & David Burg & Itzhak Omer, 2022. "Multiscale accessibility and urban performance," Environment and Planning B, , vol. 49(2), pages 687-703, February.
    13. Boeing, Geoff, 2020. "Street Network Models and Indicators for Every Urban Area in the World," SocArXiv f2dqc, Center for Open Science.
    14. Tsigdinos, Stefanos & Paraskevopoulos, Yannis & Tzouras, Panagiotis G. & Kepaptsoglou, Konstantinos, 2024. "Development of a complete method for re-conceptualizing street classification in an urban municipality," Journal of Transport Geography, Elsevier, vol. 121(C).
    15. Valentina Marin & Carlos Molinero & Elsa Arcaute, 2024. "The scalar mismatch of regional governance: A comparative analysis of hierarchical structures," Environment and Planning B, , vol. 51(9), pages 2126-2145, November.
    16. Baorui Han & Dazhi Sun & Xiaomei Yu & Wanlu Song & Lisha Ding, 2020. "Classification of Urban Street Networks Based on Tree-Like Network Features," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
    17. Boeing, Geoff, 2020. "Exploring Urban Form Through Openstreetmap Data: A Visual Introduction," SocArXiv rnwgv, Center for Open Science.
    18. Asya Natapov & Achituv Cohen & Sagi Dalyot, 2024. "Urban planning and design with points of interest and visual perception," Environment and Planning B, , vol. 51(3), pages 641-655, March.
    19. Dimitrios Tsiotas & Vassilis Tselios, 2023. "Dimension Reduction in the Topology of Multilayer Spatial Networks: The Case of the Interregional Commuting in Greece," Networks and Spatial Economics, Springer, vol. 23(1), pages 97-133, March.
    20. Barrington-Leigh, Christopher Paul & Millard-Ball, Adam, 2019. "A global assessment of street network sprawl," OSF Preprints 6vp8j, Center for Open Science.
    21. Gaëtan Montero & Geoffrey Caruso & Mohamed Hilal & Isabelle Thomas, 2023. "A partition-free spatial clustering that preserves topology: application to built-up density," Journal of Geographical Systems, Springer, vol. 25(1), pages 5-35, 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:sae:envirb:v:50:y:2023:i:4:p:1057-1071. 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: SAGE Publications (email available below). General contact details of provider: .

    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.