Open AccessTravel-based Multitasking on Public Transport: An Empirical Research in Hungary
Author(s) -
András Munkácsy,
Imre Keserü,
Miklós Siska
Publication year - 2021
Publication title -
periodica polytechnica. transportation engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 15
eISSN - 1587-3811
pISSN - 0303-7800
DOI - 10.3311/pptr.15866
Subject(s) - human multitasking , public transport , descriptive statistics , active listening , cluster analysis , travel behavior , transport engineering , business , computer science , geography , advertising , marketing , engineering , psychology , statistics , mathematics , communication , machine learning , cognitive psychology
On the basis of a survey addressing travel behaviour in 4707 households in Hungary in 2016, activities of passengers (especially on non-local public transport services) are analysed in this paper. Descriptive statistics is applied to provide a general view of household survey results about activities while travelling. K-means clustering is used for the analysis of travel-based multitasking on public transport and chartered commuter bus services. On the basis of one of the very first travel-based multitasking studies in Hungary, we concluded that the prevailing activity is talking to others, followed by relaxing or daydreaming, and listening to music/radio. Based on the outcomes of the clustering of public transport journeys by age of passengers, the main finding is that the use of electronic devices decreases with age and the characteristics of clusters in terms of other activities are diverse.