Goal Driven Design of a Sustainable Transport System

Abstract

The paper describes and summarises the results of a research project1 focussing on the development of a methodology to design a sustainable transport system. In the project a goal driven procedure for planning an environmentally sustainable transport system as part of the federal transport infrastructure planning in Germany has been developed. To demonstrate the feasibility of the procedure, it has been applied in a case study for Baden-Württemberg, a federal state in the south-western part of Germany. The foundation of the new concept is the political defmition of environmental goals that are aimed at achieving sustainability, Transport policy scenarios are designed that include various regulatory policy measures as well as infrastructure measures for all transport modes. Afterwards, the transport system is evaluated in terms of its environmental effects. This evaluation is undertaken on network level with consideration of multimodal effects. This procedure is repeated until one of the scenarios achieves the given environmental goals. If several scenarios fulfil the goals, a subsequent evaluation procedure will be carried out, which aspires to fmd the economically optimal scenario. The environmentally sustainable scenario is used to calculate shadow prices for the achievement ofthe environmental goals. This is done by evaluating the cost of those measures that are necessary to change the development of the environmental effects within the trend scenario towards the achievement of the environmentally sustainable scenario. The results of the case study have demonstrated that a multimodal and networkwide assessment of the environmental impacts of transport infrastructure plans The project and projects is possible. This allows for an integration of environmental regards into the early stages ofthe transport planning procedure. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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