Mathematical models are central to S&W's work. Already during their time at the Institute of Spatial Planning of the University of Dortmund, the partners of S&W had developed and applied the SASI and IRPUD models still used today, the latter even carries the name of its former home, IRPUD. Both models have been further developed and extended and applied in several research projects for the European Commission and national and regional authorities. The environmental impacts model called the Raster model originated in the PROPOLIS project. Most recently the "little" ILUMASS model, a reduced version of the comprehensive microsimulation ILUMASS model was added. This page collects information on all four models common to all projects in which they are applied:
The regional economic model SASI was developed at the Institute of Spatial Planning of the University of Dortmund since 1996 in co-operation with the Technical University of Vienna in the EU project SASI (Spatial and Socio-economic Impacts of Transport Investments and Transport System Improvements). The model has since been applied in several EU projects, such as IASON (Integrated Appraisal of Spatial Economic and Network Effects of Transport Investments and Policies), ESPON 2.1.1 (Territorial Impacts of EU Transport and TEN Policy) of the European Spatial Planning Observation Network (ESPON), the Interreg-IIIb project AlpenCorS (Alpen Corridor South) and STEPs (Scenarios for the Transport System and Energy Supply and their Potential Effects). More information on page SASI Model.
The IRPUD model of the eastern part of the Ruhr area is a dynamic simulation model of intraregional location and mobility decisions in an urban region. It was developed in a project for the German Research Council at the Institute of Spatial Planning of the University of Dortmund since 1977 and has been applied in several projects for the European Commission and regional authorities, such as the EU projects PROPOLIS (Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability) and STEPs (Scenarios for the Transport System and Energy Supply and their Potential Effects) and the project "Analysis of Central Constraints, Instruments and Goal Criteria for state transport planning in North-Rhine Westphalia". More information on page IRPUD Model.
The Raster model is a disaggregate model of environmental impacts of urban land use and transport. It was developed in the EU project PROPOLIS (Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability). Combined with a land-use transport model as the IRPUD model, the Raster model calculates for a given set of land use and traffic flow data energy consumption, greenhouse gas emissions, biodiversity and loss of open space and spatially disaggregate indicators for air quality and noise intrusion, taking account of the disaggregate distribution of residential population. More information on page Raster Model.
The ILUMASS model is an integrated, completely microsimulation-based simulation model of land use, transport and environmental impacts in urban regions. It was developed in the project ILUMASS (Integrated Land Use Modelling and Transportation System Simulation) funded by the German Federal Minstry for Education and Research. For test purposes, S&W and the Institute of Spatial Planning of the University of Dortmund implemented the little ILUMASS model, a reduced version of the ILUMASS model in which the time-consuming microsimulation of traffic flows was replaced by the existing more aggregate transport model of the IRPUD model. More information on page ILUMASS Model.
Modern transport technologies reduce the time to overcome space; measured in units of time, space is 'shrinking'. Time-space maps represent this interaction between space and time cartographically. In time-space maps the distance between two points is not proportional to their physical distance (as in physical maps) but proportional to the travel time between them. This change of map scale leads to distortions of the map compared with 'familiar' physical maps. Time-space maps are particularly useful for visualising the effects of network improvements over time. More informationen and examples of time-space maps on page Time-space maps.