Collecting and Implementing Empirical Procurement and Logistics Data in Transport Models

Compared to passenger transportation modelling, the field of freight modelling is relatively unexplored. To improve the basis for modelling transport operations, the knowledge about logistics in production networks and supply chains has to be enlarged. Hence, a research project analysing the relationship between procurement/logistics aspects and induced traffics has been accomplished. In a first step an empirical survey was initialised. Suppliers of the German automotive industry were asked about their company's business data (e.g., number of staff, turnover), produced products, procurement strategies, daily traffic volume as well as their transport organization. The surveyed data were analysed descriptivly and by statistical tests. Hence, a lot of figures could be deduced and were implemented into a theoretical model. In addition several kinds of different clusters have been generated to distinguish magnitudes of companies. In general the model uses surveyed statistic distributions concerning the procurement characteristic of companies in the automative industry. Finally the confirmed statistical interdependencies between different variables provide the improvement of input data for transport models because they contain logistical aspects to deduce generated traffics.