Big Data y universidades: análisis de movilidad de los estudiantes universitarios a partir de datos de Twitter
DOI:
https://doi.org/10.21138/GF.648Keywords:
Twitter, movilidad, universidades, transportes, modelo gravitacionalAbstract
Este trabajo investiga la movilidad universitaria en el Área Metropolitana de Madrid a partir de datos geolocalizados de Twitter, aprovechando su alto uso por la población joven. A partir de la identificación de usuarios, sus campus y lugares de residencia, se estiman áreas de influencia de las distintas universidades, y se combinan los datos obtenidos con otras fuentes como ficheros de tiempos de viaje o datos de nivel de renta para analizar la influencia del modo de transporte, el tipo de universidad, o el lugar de residencia en la movilidad universitaria. Mediante la elaboración de un modelo gravitacional de Huff se comparan los resultados obtenidos en Twitter. Los resultados muestran que los estudiantes tienden a residir cerca del campus al que asisten, la importancia de la proximidad a las redes de transporte, y la tendencia de los estudiantes de universidades privadas a residir en las zonas con mayor nivel de renta.References
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