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Big Data are having a great impact on the cities morphology and urban planning; actually, big data are used, for example, to predict the needs of the public transport system, by targeting investment and mobility policies within the main metropolis. Based on this assumption, this paper presents a Decision Support System (DSS) framework aimed at proposing travel strategies alternative to car use by...
This paper presents a study of bus services operational performance through the analysis at a stop level of Automatic Vehicle Location (AVL) data, using the capability of Geographic Information Systems (GIS) to analyze spatial and temporal patterns of change. In particular, the analysis is focused on the study of the reliability of public transport services that connect the most important urban centers...
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