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A freight forwarder may consolidate its goods transportations in order to achieve a more efficient operation. When goods transportations are consolidated, they may reduce operational costs, e.g. labor and fuel. This can be further improved if a number of freight forwarders cooperate and consolidate their collective goods transportations, i.e. it is a cooperation between competitors, a coopetition. In order to maintain the cooperation, a suitable business model, in which fair cost allocations plays an important role is essential. The potential by cooperating is not exclusive to freight forwarders, but in fact, any type of goods transportation planning may benefit from cooperation. In this thesis, cooperative game theory is used as an academic tool to study cooperation between stakeholders in different transportation planning applications. Cooperative game theory defines a number of criteria for fair cost allocations.In Paper 1, the role of the municipality as an enabler of a cooperation between fictitious freight forwarders in an urban area, is studied. In this case, the municipality acts as a stakeholder with unusual characteristics. It is shown that a stable cooperation can be achieved if the municipality is willing to carry some of the cost. This cost is specified and discussed in Paper 1. The results of Paper 2 contribute to game theory by introducing a further development of a cost allocation method. Some small numerical examples are presented in order to illustrate the resulting changes. In Paper 3, the process of establishing a cooperation is studied, where the stakeholders, in this case forest companies, join the cooperation sequentially. Who will join and in what order, is not predetermined. It is shown that a stable cooperation can be achieved despite the uncertainty. This is done by using the cost allocation methods presented.iii

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In this paper, the focus is on the role of the municipality, as an enabler of a collaboration between freight forwarders and the municipality in which the consolidation of goods is considered as a means for goods flow improvement in urban freight transportation. We present a cost allocation model that is based on solution concepts from cooperative game theory, for allocating the operational costs associated with the collaboration. It is assumed that the municipality is willing to carry some cost to ensure a stable collaboration for the potential benefits received, e.g., reduced traffic congestion in the city. The model is applied to some illustrative examples, and the cost allocation results are discussed. It is shown that the role of the municipality may be decisive in achieving a stable collaboration between the freight forwarders, and further that the municipality does not necessarily need to contribute to covering the costs.

In this paper, we focus on how cost allocation can be used as a means to create incentives for collaboration among companies, with the aim of reducing the total transportation cost. The collaboration is assumed to be preceded by a simultaneous invitation of the companies to collaborate. We make use of concepts from cooperative game theory, including the Shapley value, the Nucleolus and the EPM, and develop specific cost allocation mechanisms aiming to achieve large collaborations among many companies. The cost allocation mechanisms are tested on a case study that involves transportation planning activities. Although the case study is from a specific transportation sector, the findings in this paper can be adapted to collaborations in other types of transportation planning activities. Two of the cost allocation mechanisms ensure that any sequence of companies joining the collaboration represents a complete monotonic path, that is, any sequence of collaborating companies is such that the sequences of allocated costs are non-increasing for all companies.