Modelos de localización asignación utilizando redes dinámicas a partir de ficheros GTFS y datos de TomTom
Location Allocation Models (LAM) in Geographic Information Systems are used to find the best sites for locating service or equipment facilities. Traditionally, LAMs has been applied without integrating temporal variables in the transportation network. The objective of this work is the LAM approach, incorporating dynamism in the network and applied to public hospitals. For this purpose, dynamic public transport network files (GTFS) and road networks with historical traffic data (in this case from the TomTom company) are used, this allows evaluating the effect of changes in public transport frequencies and traffic congestion on the model results. The results show the impacts on the amount of demand covered, considering the temporal behaviour of the network throughout the day.
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