Abstract

Background: Decisions regarding strategic planning of urban freight transport very often are based on superficial assumptions inadequately reflecting the actual character of encountered challenges. The trend may be observed to adapt isolated solutions without supporting measures and verification of expected outcomes. Selected urban freight solutions have a significant potential to alleviate transport related problems, but they require unorthodox approach beyond standard traffic planning and road management. City's current planning experience must be taken into account to plan an optimized sequence of actions. Method: Due to complexity of the problem and specific decision making factors the analytic network process ANP was selected to determine relevant objective of the urban freight policy. Gdynia was selected as the subject for modeling with a review of the current freight planning practice as a first step. Then, classification of policy objective and their prerequisites were identified supported with descriptive feasibility assessment. This allowed for a development of the ANP decision-making model. Results: Considered objectives for urban freight policy were identified were optimization, reduction and transfer. After verifying relevant decision factors optimization was selected as the most feasible option for Gdynia. Other alternatives were rated around four times lower with a slight prevalence of reduction over transfer. Such ranking reflects current planning practice and availability of transferable experiences. Despite the indicative results, it must be stressed that urban

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