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In the last two decades, different policy initiatives have been set up to increase the share of intermodal freight transport through a modal shift. In the design of these policies, often critical break-even distances are set, showing the cost or price competitiveness of intermodal transport to delineate transport routes that qualify for such a modal shift. In this chapter, we discuss to which extent such break-even distances can be generalized on a larger scale and how they are calculated.

We use two price-based models to calculate break-even distances for an intermodal rail and an intermodal barge transport case. General break-even values do not show the price variation in the transport market and vagueness in the calculation of these values adds to this problem.

We find that for the inland waterway case, intermodal barge transport shows potential on shorter distances as well. In addition, different ways to lower the break-even distance are discussed and a framework for calculating break-even distances is suggested.

The research elaborates on break-even distances in a European context using price data which are fluctuating over time, location specific and often not publicly available.

Policy initiatives promoting intermodal transport should not focus solely on long distance transport. Moreover, evaluating the competitiveness of the intermodal sector solely on a price comparison dishonours its true potential.

This chapter challenges the current European policy on intermodal transport by showing the price competitiveness of intermodal transport in two cases.

One of the main difficulties in developing new intermodal transport solutions is finding the right business model. Though business models have received limited attention in the existing intermodal research, several authors have pointed out the importance of business models in the intermodal context.

Existing intermodal literature discusses several types of different business. The current study takes an in-depth look at The Own-Account Model, its strengths and weaknesses through two empirical examples.

The chapter investigates this model by analysing the business model in practice, for example actors, roles and responsibilities, risk distribution and contracts.

Research is conducted using a qualitative approach with two case studies. Osterwalder’s (2004) framework for business models is applied to analyse the empirical cases.

The roles and responsibilities of the actors are described. For the parties to be willing to “invest into” the new intermodal solution, long-term contracts are required. The shipper controls the channel, but has to rely heavily on the transport operators for their expertise and resources.

The analysis has found that the model can be used to avoid many of the difficulties in setting up a new intermodal solution, such as ensuring the base volume or having the overall control over the intermodal chain.

Better understanding of this type of business model allows authorities to better support the development of intermodal transport through policy measures. The results obtained also improve the understanding of how intermodal transport is performed in practice.