Modelling Dynamic Generation of a Choice Set in Pedestrian Networks
Considerable interest has been shown in models that predict the behaviour of travellers in pedestrian networks. The complexity of the pedestrian’s behaviour poses problems in investigation of these models; this complexity can be attributed to the inability of travellers to generate a choice set of destinations prior to their travel due to the lack of information regarding pedestrian networks. This study aims to model the manner in which travellers generate a choice set of destinations while walking. The following two principles are applied for constructing the model: the expected utility maximisation principle and the node-based searching principle. Using these principles, it is shown that travellers try to generate a choice set as soon as possible and stop searching when the effort in expanding the choice set does not pay off to obtain higher utility of the entire tour. Further, it is shown that the rule of stopping is identical to the optimal stopping problem. The solution methodology and characteristics of the model are shown. Then, the node-based searching principle and the stopping rule are tested against empirical data.
KeywordsTravel Time Voronoi Cell Route Choice Transportation Research Part Expected Utility Maximisation
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