Abstract
Freight transport in urban areas affects city liveability and, in turn, it is affected by the territorial characteristics and by the location of firms, factories and production activities. Therefore, the relationship between freight flow and land use must be investigated, combining knowledge derived from the analysis of data on freight transport and territorial attributes. This work considers a dataset of floating car data (i.e., a sample of freight vehicles moving in the study area) and a dataset of territorial data (e.g., number of activities and employees) in order to calibrate a model able to foresee the production of tours from each zone of the study area. In particular, a linear and a spatial autoregressive model are calibrated considering aggregated data related to the commercial activities in the study area.
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