Tourist excursion model considering trip chain choice and duration of stay

This study proposes two tourist excursion behavior models. One is the trip chain-based model, in which the tourist behavior is represented by a trip chain and the duration of stay at each tourist spot in the trip chain. The model is based on the tourist's utility maximization, where a tourist allocates the time budget along the trip chain generated from our proposed algorithm formulated as dynamic programming. The proposed model assumes that travel data obtained from Wi-Fi sensors are available. We also proposed the Trip-based model, which estimates the transition ratio of a tourist trip between tourist spots based on the tourist's utility maximization. The trip-based model only partially captures the excursion behavior but is available when only tip data between two nodes in the network is available. To demonstrate the models presented in the paper, we calibrated parameters and predicted the tourist demand in a test and real networks.