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Assessing the Effect of Spatial Proximity on Urban Growth

Author

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  • Eduardo Gomes

    (Géographie-cités, UMR 8504, Université Paris 1 Panthéon-Sorbonne, 75006 Paris, France
    Centro de Estudos Geográficos (CEG), Instituto de Geografia e Ordenamento do Território (IGOT), Universidade de Lisboa (UL), 1600-276 Lisboa, Portugal)

  • Arnaud Banos

    (Géographie-cités, UMR 8504, Université Paris 1 Panthéon-Sorbonne, 75006 Paris, France)

  • Patrícia Abrantes

    (CEGOT, Dep. Geografia, FLUP, Universidade do Porto (UP), 4150-564 Porto, Portugal)

  • Jorge Rocha

    (Centro de Estudos Geográficos (CEG), Instituto de Geografia e Ordenamento do Território (IGOT), Universidade de Lisboa (UL), 1600-276 Lisboa, Portugal)

Abstract

Land-Use/Cover Change (LUCC) reacts to demographic pressures, economic trends, or improved transport networks. Urban growth with implications on LUCC patterns can be measured using a diversity of methods. Our study derives from Tobler’s first law of geography: ‘everything is related to everything else, but near things are more related than distant ones’. We identified and measured the influence of neighbouring distance on urban growth from the edge of existing urban areas. For that, we have developed a method, built using the NetLogo software tool, which we called Land-use chAnge and Neighbouring Distance (LAND). We selected Torres Vedras (Portugal) to conduct our case study due to its increasing urban development in the past few years. The periods of analysis were 1995–2010, 1995–2007, and 2007–2010. The results have shown the influence and the effect of strong spatial correlation between the proximity of existing artificial surfaces and the emergence of new ones. The understanding of the patterns of urban growth is helpful to plan forward land developments. This method can be used to write guidelines for decision makers to monitor urban expansion and define spatial planning priorities.

Suggested Citation

  • Eduardo Gomes & Arnaud Banos & Patrícia Abrantes & Jorge Rocha, 2018. "Assessing the Effect of Spatial Proximity on Urban Growth," Sustainability, MDPI, vol. 10(5), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1308-:d:142892
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    References listed on IDEAS

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    Cited by:

    1. Wang Man & Qin Nie & Lizhong Hua & Xuewen Wu & Hui Li, 2019. "Spatio–Temporal Variations in Impervious Surface Patterns during Urban Expansion in a Coastal City: Xiamen, China," Sustainability, MDPI, vol. 11(8), pages 1-12, April.
    2. Shukla, Anugya & Jain, Kamal & Ramsankaran, RAAJ & Rajasekaran, Eswar, 2021. "Understanding the macro-micro dynamics of urban densification: A case study of different sized Indian cities," Land Use Policy, Elsevier, vol. 107(C).
    3. Gomes, Eduardo & Abrantes, Patrícia & Banos, Arnaud & Rocha, Jorge, 2019. "Modelling future land use scenarios based on farmers’ intentions and a cellular automata approach," Land Use Policy, Elsevier, vol. 85(C), pages 142-154.
    4. Sivan Hisham Al Jarah & Bo Zhou & Rebaz Jalil Abdullah & Yawen Lu & Wenting Yu, 2019. "Urbanization and Urban Sprawl Issues in City Structure: A Case of the Sulaymaniah Iraqi Kurdistan Region," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    5. Mariateresa Ciommi & Francesco M. Chelli & Margherita Carlucci & Luca Salvati, 2018. "Urban Growth and Demographic Dynamics in Southern Europe: Toward a New Statistical Approach to Regional Science," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    6. de Abreu e Silva, João & Correia, Marcos, 2023. "The main drivers of urban sprawl in Portuguese medium cities between 2001 and 2011," Land Use Policy, Elsevier, vol. 132(C).
    7. Eduardo Gomes, 2020. "Sustainable Population Growth in Low-Density Areas in a New Technological Era: Prospective Thinking on How to Support Planning Policies Using Complex Spatial Models," Land, MDPI, vol. 9(7), pages 1-14, July.

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