RT Journal Article
T1 Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness
A1 Moya Gómez, Borja
A1 Salas Olmedo, María Henar
A1 García Palomares, Juan Carlos
A1 Gutiérrez Puebla, Javier
AB Accessibility is essentially a dynamic concept. However, most studies on urban accessibility take a static approach, overlooking the fact that accessibility conditions change dramatically throughout the day. Due to their high spatial and temporal resolution, the new data sources (Big Data) offer new possibilities for the study of accessibility. The aim of this paper is to analyse urban accessibility considering its two components –the performance of the transport network and the attractiveness of the destinations– using a dynamic approach using data from TomTom and Twitter respectively. This allows us to obtain profiles that highlight the daily variations in accessibility in the city of Madrid, and identify the influence of congestion and the changes in location of the population. These profiles reveal significant variations according to transport zones. Each transport zone has its own accessibility profile, and thus its own specific problems, which require solutions that are also specific.
PB Springer
SN 1566-113X
YR 2017
FD 2017
LK https://hdl.handle.net/20.500.14352/95124
UL https://hdl.handle.net/20.500.14352/95124
LA eng
NO Moya-Gómez, Borja, María Henar Salas-Olmedo, Juan Carlos García-Palomares, y Javier Gutiérrez. «Dynamic Accessibility Using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness». Networks and Spatial Economics 18, n.o 2 (1 de junio de 2018): 273-90. https://doi.org/10.1007/s11067-017-9348-z.
NO European Comission
NO Ministerio de Economía y Competitividad (España)
DS Docta Complutense
RD 18 abr 2025