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A Quantitative Procedure For The Spatial Characterization Of Urban Land Use

Author

Listed:
  • JAMES DECRAENE

    (Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore)

  • CHRISTOPHER MONTEROLA

    (Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore)

  • GARY KEE KHOON LEE

    (Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore)

  • TERENCE GIH GUANG HUNG

    (Complex Systems Programme, Institute of High Performance Computing, Computing Science, Agency for Science Technology and Research, 1 Fusionopolis way, 16-16 Connexis, Singapore 138632, Singapore)

Abstract

We have developed a procedure that characterizes the land use pattern of an urban system using: (a)Spatial entropythat measures the extent of spread of residential, business and industrial sectors; and (b)Index of dissimilaritythat quantifies the degree of mixing in space of different sectors. The approach is illustrated by using the land use zoning maps of the city state of Singapore and a selection of North American cities. We show that a common feature of most cities is for the industrial areas to be highly clustered while at the same time segregated from the residential or business districts. We also demonstrate that the combination of entropy of residential and dissimilarity index between residential and business areas provides a quantitative and potentially useful means of differentiating the land use pattern of different cities.

Suggested Citation

  • James Decraene & Christopher Monterola & Gary Kee Khoon Lee & Terence Gih Guang Hung, 2013. "A Quantitative Procedure For The Spatial Characterization Of Urban Land Use," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-15.
    • Handle: RePEc:wsi:ijmpcx:v:24:y:2013:i:01:n:s0129183112500921
    DOI: 10.1142/S0129183112500921
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    References listed on IDEAS

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    1. Anne-Michelle Slater & Andrew Gemmell, 1999. "Land Use Planning and Waste Management in Scotland," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 42(6), pages 861-874.
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    Cited by:

    1. Xia, Fangzhou & Lu, Pingzhen, 2023. "Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing," Land Use Policy, Elsevier, vol. 132(C).
    2. Lang, Wei & Long, Ying & Chen, Tingting, 2018. "Rediscovering Chinese cities through the lens of land-use patterns," Land Use Policy, Elsevier, vol. 79(C), pages 362-374.
    3. Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.
    4. Merkebe Getachew Demissie & Lina Kattan, 2022. "Understanding the temporal and spatial interactions between transit ridership and urban land-use patterns: an exploratory study," Public Transport, Springer, vol. 14(2), pages 385-417, June.
    5. Presbitero, Alva & Monterola, Christopher, 2018. "Challenging the evolution of social cooperation in a community governed by central control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 378-388.

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