School of Architecture and Civil Engineering

An approach for goal-oriented identification of measures in the preparation of demand plans in the transport sector


Within the scope of this work, a structured approach was developed, which should serve as a basis for a goal-oriented identification of measures in demand planning. First, the status quo of transportation planning was analyzed. For this purpose, a literature review was conducted and existing demand planning and target systems were examined with regard to their target orientation and transparency. Finally, the different problem areas of transportation planning are summarized and a standardized approach for goal-oriented identification of measures is developed. The approach enables transportation planners to demonstrate the contribution of a measure to a core set of target standards at an early stage of planning and to perform a holistic assessment of the measures. The approach thus represents a combined filtering procedure. In the practical part, a total of ten transport infrastructure measures were subjected to a plausibility check using the developed approach. The analysis is based on data from the 2003 Federal Transport Infrastructure Plan and the Integrated Transport Infrastructure Plan for North Rhine-Westphalia. Fifty percent of the measures analyzed cannot be included in the pool of measures. The results of the analysis are then summarized. It can be stated that

  • concrete standards cannot be defined for all areas,
  • the heterogeneity of infrastructure measures makes it necessary to define differentiated target standards for various groups of measures,
  • measures with high benefit-cost ratios - with the approach chosen here - may not be in line with targets,
  • theoretically, an assessment of rail projects is also possible with the approach.

Based on the results of the study, the need for further research was finally identified. The following questions arise:

  • Are there further variants of the measure identification?
  • Is it possible to visualize the identification of measures?
  • Can a successive elimination within the pool of measures take place?
  • How can an approach to network-based measure identification be further advanced from the scientific level?
  • Can the findings of the approach developed here be incorporated into the success monitoring of infrastructure measures?

This Abstract was translated from German with deepL and could be faulty.

Weitere Infos über #UniWuppertal: