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Fifty Years of Urban Modeling: Macro-Statics to Micro-Dynamics

In: The Dynamics of Complex Urban Systems

Author

Listed:
  • Michael Batty

    (University College London)

Abstract

This chapter presents both a chronological and conceptual history of urban land use-transportation models movement in the context of current developments. Such models —‘urban models’ for short — first appeared in the 1950s in North America and were made possible by two interrelated forces: the development of digital computing from which large-scale simulation emanated, and policy imperatives for testing the effects of large-scale public investments on cities. Essentially, urban models are still pragmatically motivated tools for testing the impact of changes in the locations of land use and transportation on dense and usually large urban agglomerations. Planning and policy determine their rationale although their foundations are built on theoretical ideas which go back to the roots of modern social science and the influence of physics and mathematics from the time of the Enlightenment. During the brief but turbulent years since this field has developed, there have been substantial shifts in viewpoint. Indeed even the paradigms that condition what attributes of the city are to be modeled, and the way such modeling takes place, have changed. We will chart these changes, beginning with a set of intersecting time lines focusing on theoretical origins and practical applications. We will show how urban models were first conceived in aggregative, static terms when the concern was for simulating the way cities appeared at a cross-section in time. This aggregative, static conception of urban structure has slowly given way to one where much more detailed disaggregate activities appear more important and where dynamics rather than statics is the focus. This reflects as much our abilities to simulate more elaborate computational structures and collect better data as any grand theoretical revision of the way we look at the city, although such a revision is now under way As such, this chapter sets a context for many of the current advances in urban modeling reported elsewhere in this book.

Suggested Citation

  • Michael Batty, 2008. "Fifty Years of Urban Modeling: Macro-Statics to Micro-Dynamics," Springer Books, in: Sergio Albeverio & Denise Andrey & Paolo Giordano & Alberto Vancheri (ed.), The Dynamics of Complex Urban Systems, pages 1-20, Springer.
  • Handle: RePEc:spr:sprchp:978-3-7908-1937-3_1
    DOI: 10.1007/978-3-7908-1937-3_1
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    Citations

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    Cited by:

    1. Lingbo Liu & Zhenghong Peng & Hao Wu & Hongzan Jiao & Yang Yu & Jie Zhao, 2018. "Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    2. Vaclav Beran & Marek Teichmann & Frantisek Kuda, 2021. "Decision-Making Rules and the Influence of Memory Data," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    3. Pedro Bueno Rocha Campos & Cláudia Maria de Almeida & Alfredo Pereira de Queiroz, 2022. "Spatial Dynamic Models for Assessing the Impact of Public Policies: The Case of Unified Educational Centers in the Periphery of São Paulo City," Land, MDPI, vol. 11(6), pages 1-25, June.
    4. Paul M. Torrens, 2016. "Exploring behavioral regions in agents’ mental maps," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 309-334, November.
    5. Ali R Samani & Sabyasachee Mishra & David J-H Lee & Mihalis M Golias & Jerry Everett, 2022. "A new approach to develop large-scale land-use models using publicly available data," Environment and Planning B, , vol. 49(1), pages 169-187, January.
    6. Denise Pumain & Lena Sanders, 2013. "Theoretical Principles in Interurban Simulation Models: A Comparison," Environment and Planning A, , vol. 45(9), pages 2243-2260, September.
    7. Mahmood Shoorcheh & Hamidreza Varesi & Jamal Mohammadi & Todd Litman, 2016. "Urban Growth Structure and Travel Behavior in Tehran City," Modern Applied Science, Canadian Center of Science and Education, vol. 10(8), pages 1-32, August.
    8. Ying Jin & Michael Wegener, 2013. "Guest Editorial," Environment and Planning B, , vol. 40(6), pages 951-954, December.
    9. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).

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