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Analyzing Interpersonal and Intrapersonal Variability of Transit Use with Smart Card Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Deschaintres, Élodie Morency, Catherine Trépanier, Martin |
| Copyright Year | 2018 |
| Abstract | Variations in public transport system use can be observed from one user to another (interpersonal variations), but also within the behaviour of a same user over time (intrapersonal variations). This variability should be considered forecasting public transit demand. However, a better understanding of travel behaviours and tools to measure their variability (or regularity) are first required. This paper processes smart card data over a period of 51 weeks to investigate public transport passengers both interpersonal and intrapersonal variability using data mining methods. Several clustering algorithms based on different distances (Euclidian and non-Euclidian) are employed to build user typologies and thus highlight interpersonal variability. A typology of weeks is also created to reveal intrapersonal regularity, defined by the repetition of the same types of week in the user behaviour. Furthermore, indicators are provided to quantify the two types of variability. The results show that, even for annual pass users, expected to be quite consistent, different types of users exist in terms of frequency of use, activity ratios and stability over time. Moreover, although the vast majority of the behaviours are found to be quite regular at the intrapersonal level, some of them are more atypical. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.caspt.org/wp-content/uploads/2018/10/Papers/CASPT_2018_paper_34.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
