IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i12p2205-d1545546.html
   My bibliography  Save this article

Synergies Between Land Use/Land Cover Mapping and Urban Morphology: A Review of Advances and Methodologies

Author

Listed:
  • Aleksandra Milovanović

    (Faculty of Architecture, University of Belgrade, 11120 Belgrade, Serbia)

  • Nikola Cvetković

    (Faculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, Serbia)

  • Uroš Šošević

    (Faculty of Organizational Sciences, University of Belgrade, 11010 Belgrade, Serbia)

  • Stefan Janković

    (Faculty of Philosophy, University of Belgrade, 11000 Belgrade, Serbia)

  • Mladen Pešić

    (Faculty of Architecture, University of Belgrade, 11120 Belgrade, Serbia)

Abstract

This study aims to bridge the fields of urban morphology and land use/land cover (LULC) mapping through a systematic analysis of their integration in recent research. The research employs systematic literature review (SLR) methodology combining quantitative and qualitative methods through four methodological steps: data search, data selection, data analysis, and data clustering. The analysis performed three distinct clustering patterns: (1) methods and tools, (2) data types, and (3) urban morphology aspects. The results reveal five distinct methodological approaches—Data-Driven Typological Decoding Approach, Quantitative Structural Metrics Approach, Predictive Spatiotemporal Transition Approach, Temporal Change Detection and Performance Approach, and Spatial Configuration and Density Analysis Approach—each contributing unique insights to urban form analysis. The findings demonstrate the multidimensional nature of urban form analysis, incorporating both social and temporal dimensions, while highlighting the essential role of change detection in understanding urban pattern evolution. This systematic review establishes a comprehensive framework for understanding the relationship between urban morphology and LULC mapping, providing valuable insights for future research integration.

Suggested Citation

  • Aleksandra Milovanović & Nikola Cvetković & Uroš Šošević & Stefan Janković & Mladen Pešić, 2024. "Synergies Between Land Use/Land Cover Mapping and Urban Morphology: A Review of Advances and Methodologies," Land, MDPI, vol. 13(12), pages 1-28, December.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2205-:d:1545546
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/12/2205/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/12/2205/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vítor Oliveira, 2024. "Urban form and the socioeconomic and environmental dimensions of cities," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 17(1), pages 1-23, January.
    2. Chuan Lin & Guang Li & Zegen Zhou & Jia Li & Hongmei Wang & Yilun Liu, 2024. "Enhancing Urban Land Use Identification Using Urban Morphology," Land, MDPI, vol. 13(6), pages 1-31, May.
    3. Caixia Rong & Wenxue Fu, 2023. "A Comprehensive Review of Land Use and Land Cover Change Based on Knowledge Graph and Bibliometric Analyses," Land, MDPI, vol. 12(8), pages 1-22, August.
    4. Brian McGrath & Somporn Sangawongse & Danai Thaikatoo & Martina Barcelloni Corte, 2017. "The Architecture of the Metacity: Land Use Change, Patch Dynamics and Urban Form in Chiang Mai, Thailand," Urban Planning, Cogitatio Press, vol. 2(1), pages 53-71.
    5. Liangliang Zhou & Yishao Shi & Mengqiu Xie, 2024. "Urban Complexity and the Dynamic Evolution of Urban Land Functions in Yiwu City: A Micro-Analysis with Multi-Source Big Data," Land, MDPI, vol. 13(3), pages 1-28, March.
    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. Xiaojin Huang & Ran Cheng & Jun Wu & Wenjian Yang & Longhao Zhang & Pengbo Li & Wenzhe Zhu, 2024. "Extracting Meso- and Microscale Patterns of Urban Morphology Evolution: Evidence from Binhai New Area of Tianjin, China," Land, MDPI, vol. 13(11), pages 1-27, October.
    2. Miaoyi Li & Ningrui Zhu, 2024. "Research on the Method of Artificial Intelligence for Identifying Urban Land-Use Types Based on Areas of Interest (AOI) and Multi-Source Data," Land, MDPI, vol. 13(12), pages 1-17, November.
    3. Vongvisitsin, Thanakarn Bella & Huang, Wei-Jue & King, Brian, 2024. "Urban community-based tourism development: A networked social capital model," Annals of Tourism Research, Elsevier, vol. 106(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:jlands:v:13:y:2024:i:12:p:2205-:d:1545546. 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.