With almost 25,000 students and 10,000 employees, KIT has a significant impact on Karlsruhe’s mobility as the traffic volume caused by KIT members themselves is already comparable to that of a medium-sized city. Consequently, KIT is responsible for a considerable part of traffic emissions in Karlsruhe.
KIT wants to meet the resulting responsibility by considering climate protection and increasing resource efficiency as a primary goal in the Master Plan 2030. In this context, KIT strives for a cross-site, uniform strategy for sustainable mobility to, from, on, and between the campus locations distributed in Karlsruhe. For this purpose, measures for a future-oriented campus mobility are to be derived based on the mobility needs of KIT’s students and employees. These measures should be integrated into KIT’s sustainability concept and be compatible with the existing mobility concept of the Karlsruhe region.
In this project, the Institute for Transport Studies (IfV) develops a basis of decision-making to estimate and evaluate the effects on transportation of different measures of a sustainable campus mobility at KIT. The development is mainly done in two steps: In the first step, a survey of campus mobility of KIT’s students and employees will be conducted. In addition to traditional questions on sociodemography and the household context, the university related and non-university related activities of KIT members will be recorded and analyzed applying an interactive travel diary. Furthermore, the survey focuses on general queries on mobility behavior of KIT members in connection with the campus locations in Karlsruhe.
In a second step, the mobility behavior of KIT members is modeled on the basis of the survey. For this purpose, the ‘mobiTopp’ travel demand model of the Karlsruhe region developed in the project ‘regiomove’ is specified in the area of KIT’s campus sites. Furthermore, the model will be extended by additional elements such as campus-specific mobility forms. Thus, campus mobility is not modeled isolated but integrated into the everyday mobility behavior of KIT members.
The model can be used to simulate and analyze the effects of different measures on the transportation system. This project focuses on the analysis of changes in mode choice behavior and resulting changes in traffic emissions.