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Microsimulation of Businesses in ILUMASS

Microsimulation of Businesses in ILUMASS Part 1: Introduction and Generating Synthetic Businesses Rolf Moeckel and Michael Wegener Workshop of the Land Use Transportation Modelling Group University College London, 2 July 2005. Microsimulation of Businesses in ILUMASS Introduction.

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Microsimulation of Businesses in ILUMASS

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  1. Microsimulation of Businesses in ILUMASS Part 1: Introduction and Generating Synthetic Businesses Rolf Moeckel and Michael Wegener Workshop of the Land Use Transportation Modelling Group University College London, 2 July 2005

  2. Microsimulation of Businesses in ILUMASS Introduction

  3. ILUMASS Project ILUMASS is an integrated urban model simulating (a)changes in land use (b)the changes in transport demand (c)theresulting environmental impacts (d) the feedback from changesof accessi- bility andenvironment on land use The aim of ILUMASS is to establish a fully disaggregate urban simulation model. Introduction

  4. Acknowledgement The partners are German Aerospace Centre, Berlin (DLR) Technical University ofAachen (ISB) University of Bamberg (IfTP) University of Cologne (ZAIK) University of Wuppertal (LUIS) University of Dortmund (IRPUD) ILUMASS is funded by the German Federal Ministry for Education and Research. Introduction

  5. ILUMASS Model Overview Transport networks - roads - public transport Synthetic firms - floorspace - firms - jobs - vehicles Synthetic population - housing - persons - cars Introduction Land use Population - housing - households - persons - cars Accessibility - of jobs - of shops - of population - of facilities Firms - floorspace - firms - jobs Transport Person travel demand - activity programs - week plans Dynamic traffic assignment - network flows Goods trans-port demand - activities - trips Environmental impacts Impacts - air quality - traffic noise at housing Impacts - air quality, - traffic noise at work Emissions - air pollution, - traffic noise at sources

  6. Interaction of Land-Use/Transport and Business Model Introduction Land Use/ Transport Model Simulation of Businesses Floorspace/workforce Establishments Moves Growths Shrinkings Declines Land Use Work locations Accessibility Transport Transport demand Environm. quality Environmental Impacts Emissions

  7. 0 10 km Study Area Introduction Dortmund

  8. Residential Mixed Use Industry Agriculture Forest 0 10 km Land Use 2000 Introduction

  9. Highway Main Road Side Road 0 10 km Street Network 2000 Introduction

  10. Train Subway/Tram Bus 0 10 km Public Transport 2000 Introduction

  11. Microsimulation of Businesses in ILUMASS Generating Synthetic Businesses

  12. Micro Data Data availability on businesses is extremely poor in Germany! Businesscensus data exists for the years 1950, 1961, 1970, and 1987. Monte Carlo Sampling and Iterative Propor-tional Fitting are used to generate micro data. Spatial disaggregationis performed by Interpolation or Monte Carlo Sampling using ancillary land-use data. Micro data

  13. Iterative Proportional Fitting Micro data Businesses by type and size Businesses by type Businesses by size

  14. Monte Carlo Sampling Micro data Select a business type Select number of employees Select qualification of employed person Yes More employees in business? No Select micro location …

  15. Types of Businesses Micro data

  16. Micro Data Multi-establishment firms are treated as several individual businesses. Features for each synthetic business in-clude: - location (x/y-coordinates), - employees per education level, - job vacancies per education level, - customer capacity, - parking, and - floorspace. Micro data

  17. 100 x 100 m Raster Cells Micro data 1 km2

  18. Land Price - Industrial Micro data

  19. Land Price - Mixed Use Micro data

  20. Land Use Micro data Residential Area Mixed Use Light Industry Heavy Industry

  21. Concen- trations Micro data Retail Office Airport Public institution

  22. Agricultural Land Micro data

  23. Industrial Floorspace Micro data

  24. Retail Floorspace Micro data

  25. Office Floorspace Micro data

  26. Micro Data Features for non-residential floorspace in-clude: - location (x/y-coordinates), - floorspace in m², - quality, and - price. Micro data

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