Modeling the transport demand of holidaymakers and day visitors in major cities II

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BACKGROUND AND GOAL

The aim of the project "Modeling the transport demand of vacation trips and day visitors in large cities II" is to better understand the mobility of day visitors and overnight guests in large cities and to be able to take this into account in model-based forecasting. In transport planning, so-called transport demand models are used to determine the effects of measures. A transport demand model is a simplified digital representation of the traffic situation in an area. It depicts how road users move on the various traffic routes (e.g. road, rail, etc.). Most transport demand models depict the everyday mobility of the population of a region or city as well as the associated urban area. The results help transport planners to understand how measures - such as new public transport lines or roadworks - could affect traffic. In practice, there are differences between the forecasts of the models and reality. This difference is often explained by the traffic demand generated by external guests. The project also aims to be able to better map the traffic demand generated by external guests. The focus is on the choice of traffic mode, taking into account route chains.

METHODICAL APPROACH

To determine the target group and its characteristics, the first step is to conduct a guest survey. The guests are approached at tourist activity locations. In a second step, overnight guests are asked to record the rest of their stay (at least 24 hours) using an app that automatically logs routes and activities. The app enables simple and reliable recording of the routes, including their length and number, the means of transport used and the activities. In order to test the transferability of the results, the survey will be carried out in Kassel and a structurally similar comparison city.

In addition, in-depth interviews will be conducted with selected people in order to gain a better understanding of holiday-specific influencing factors and significant differences compared to everyday mobility behavior.

Based on the personal characteristics, the activity chains and locations as well as the means of transport used, behavioral models - with a focus on the model of transport mode choice - are then developed.

You can find a brief description of the project here .

CONDITIONS OF PARTICIPATION

If you have been asked to take part in the project and would like to read the conditions of participation, you can find them here.

DATA PROTECTION

It goes without saying that we comply with data protection regulations. If you would like to read details on the protection of your data, you cando so here.