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Microsimulation of urban land use

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  • Schürmann, Carsten
  • Moeckel, Rolf
  • Wegener, Michael

Abstract

The project ILUMASS (Integrated Land-Use Modelling and Transportation System Simulation) aims at embedding a microscopic dynamic simulation model of urban traffic flows into a comprehensive model system incorporating both changes of land use and the resulting changes in transport demand. The land-use component of ILUMASS will be based on the land-use parts of an existing urban simulation model, but is to be microscopic like the transport parts of ILUMASS. Microsimulation modules will include models of demographic development, household formation, firm lifecycles, residential and non-residential construction, labour mobility on the regional labour market and household mobility on the regional housing market. These modules will be closely linked with the models of daily activity patterns and travel and goods movements modelled in the transport parts of ILUMASS developed by other partners of the project team. The design of the land use model takes into account that the collection of individual micro data (i.e. data which because of their micro location can be associated with individual buildings or small groups of buildings) or the retrieval of individual micro data from administrative registers for planning purposes is neither possible nor, for privacy reasons, desirable. The land use model therefore works with synthetic micro data which can be retrieved from generally accessible public data. ILUMASS is a group project of institutes of the universities of Aachen, Bamberg, Dortmund, Cologne and Wuppertal under the co-ordination of the Transport Research Institute of the German Aerospace Centre (DLR). Study region for tests and first applications of the model is the urban region of Dortmund. The common database will be compiled in co-operation with the City of Dortmund. After its completion the integrated model is to be used for assessing the impacts of potential transport and land use policies for the new land use plan of the city. The paper will focus on the land-use parts of the ILUMASS model. It will present the underlying behavioural theories and how they are made operational in the model design, explain how the synthetic population is generated, show first model results and demonstrate the potential usefulness of the model for the planning process.

Suggested Citation

  • Schürmann, Carsten & Moeckel, Rolf & Wegener, Michael, 2002. "Microsimulation of urban land use," ERSA conference papers ersa02p261, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa02p261
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa02/cd-rom/papers/261.pdf
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    References listed on IDEAS

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    1. Michael Wegener, 1998. "Applied Models of Urban Land Use, Transport and Environment: State of the Art and Future Developments," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 14, pages 245-267, Springer.
    2. Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), 1998. "Network Infrastructure and the Urban Environment," Advances in Spatial Science, Springer, number 978-3-642-72242-4.
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    1. Tirumalachetty, Sumala & Kockelman, Kara M. & Nichols, Brice G., 2013. "Forecasting greenhouse gas emissions from urban regions: microsimulation of land use and transport patterns in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 33(C), pages 220-229.
    2. Dorsa Alipour & Hussein Dia, 2023. "A Systematic Review of the Role of Land Use, Transport, and Energy-Environment Integration in Shaping Sustainable Cities," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    3. Seongman Jang & Youngsoo An, 2023. "A Study on the Methodology for Estimating Floating Population in Microscopic Spatial Units," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
    4. Krug, Jean & Burianne, Arthur & Bécarie, Cécile & Leclercq, Ludovic, 2021. "Refining trip starting and ending locations when estimating travel-demand at large urban scale," Journal of Transport Geography, Elsevier, vol. 93(C).
    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. Asmamaw A. Gebrehiwot & Leila Hashemi-Beni & Lyubov A. Kurkalova & Chyi L. Liang & Manoj K. Jha, 2022. "Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts," Sustainability, MDPI, vol. 14(15), pages 1-23, August.

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