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Scaling And Urban Growth

Author

Listed:
  • L. BENGUIGUI

    (Solid State Institute and Physics Department, Technion-Israel Institute of Technology, 32000 Haifa, Israel)

  • D. CZAMANSKI

    (Faculty of Architecture and Town Planning, Technion-Israel Institute of Technology, 32000 Haifa, Israel)

  • M. MARINOV

    (Faculty of Architecture and Town Planning, Technion-Israel Institute of Technology, 32000 Haifa, Israel)

Abstract

This paper presents an analysis of the growth of towns in the Tel Aviv metropolis. It indicates a similarity in the variation of populations so that the population functions can be scaled and superposed one onto the other. This is a strong indication that the growth mechanism for all these towns is the same. Two different models are presented to interpret the population growth: one is an analytic model while the other is a computer simulation. In the dynamic analytic model, we introduced the concept of characteristic time. The growth has two parts: in the first, the derivative is an increasing function, the town is very attractive and there is short delay between decision to build and complete realization of the process. At this time, there is no shortage of land. However, around a specific time, the delay begins to increase and there is lack of available land. The rate of the population variation decreases until saturation. The two models give a good quantitative description.

Suggested Citation

  • L. Benguigui & D. Czamanski & M. Marinov, 2004. "Scaling And Urban Growth," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 15(07), pages 989-996.
    • Handle: RePEc:wsi:ijmpcx:v:15:y:2004:i:07:n:s0129183104006376
    DOI: 10.1142/S0129183104006376
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    Citations

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    Cited by:

    1. Dani Broitman & Daniel Czamanski, 2012. "Cities in Competition, Characteristic Time, and Leapfrogging Developers," Environment and Planning B, , vol. 39(6), pages 1105-1118, December.
    2. Erez Buda & Dani Broitman & Daniel Czamanski, 2023. "Land value dynamics and the spatial evolution of cities following COVID 19 using big data analytics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 429-445, April.
    3. Luca Salvati, 2022. "Exploring long-term urban cycles with multivariate time-series analysis," Environment and Planning B, , vol. 49(4), pages 1212-1227, May.
    4. Dani Broitman & Vladimir Griskin & Daniel Czamanski, 2019. "Unbundling negative and positive externalities of nature in cities: The influence of wild animals on housing prices," Urban Studies, Urban Studies Journal Limited, vol. 56(13), pages 2820-2836, October.

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