Microscopic transport modelling is becoming more and more important due to intrapersonal differentiation of travel behaviour. Modelling individual travel behaviour allows a more detailed forecasting of the impact and the acceptance of traffic supply in terms of people's needs. Existing microscopic transport demand models describe the mobility of all inhabitants of the inner planning area. Until now trips by people living in the outer planning area which enter the inner planning area were not modelled in detail. They were either modelled using rough assumptions, models describing a larger-scale area or extensive traffic surveys. This thesis develops a microscopic model which simulates all trips that residents of the outer planning area make in the inner planning area. Because of limited computer memory storage and processor power, it is not necessary to model all trips of inhabitants of the whole outer planning area. Due to spatial spread, the number of the inhabitants in the outer planning area is much higher than those of the inner planning area. This thesis begins by analysing the possibility of transferring individual mobility data from the German Mobility Panel to other areas within Germany. That is the prerequisite for the presented transport model. A method is then explained which localizes the spatial delimitation of the whole planning area; this contains all counties in Germany. Finally, a microscopic transport demand model simulates all trips made in the inner planning area by people living in the outer planning area. Only the trips of inhabitants of the outer planning area, which enter the inner planning area, are modelled; all other trips are not taken into consideration. This makes it possible to reduce computational load and minimize memory storage requirements without affecting quality. This developed microscopic transport demand model was already used in transportation planning in the Rhine-Neckar Region around the cities of Mannheim, Heidelberg and Ludwigshafen. With this method, all relevant trips of non-inhabitants of the inner planning area could be modelled without expensive and additional travel surveys at regional borders. (Author/publisher)
Samenvatting