Highlights We examine monthly human spatial behaviour over a 12-month period. We use mobile phone call detail records as a novel data source. Our proposed approach is able to capture longitudinal human spatial behaviour. We provide a set of new insights on monthly variances in human spatial behaviour.
Abstract Human activity-travel behaviour (ATB) is a complex pattern of paths and activities in space and time. Studies indicate that ATB is the construction of daily habitual, weekly, monthly and seasonal routines together with strong variety seeking behaviour. Daily habitual travel patterns are usually taken as a basis, but for transportation planners more knowledge is needed on longitudinal trends in human ATB. Empirical data on prolonged perspective are hard to come by while mobile phone based call detail records could be one means of narrowing this research gap. By implementing this method, the present study attempts to provide new insights on individual monthly spatial travel behaviour. Using call detail records obtained from a set of anonymous mobile phone users, we examined their activity locations and activity spaces for 12 consecutive months. We found modest monthly variation in the number of activity locations, whereas there were great variations in the sizes of individual activity spaces. The monthly variation in individual spatial behaviour is explained up to 17% by seasonality, although the variance is predominantly attributed to individual factors and results indicate significant intrapersonal monthly variability. Findings suggest new avenues for future work on ATB from a longitudinal perspective.
Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records
Tramsportation Research, Part C: Emerging Technologies ; 38 ; 122-135
2013-11-04
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Transportation mode inference from anonymized and aggregated mobile phone call detail records
DSpace@MIT | 2010
|Taylor & Francis Verlag | 2019
|Transportation Research Record | 2020
|