Abstract
Identifying zones and movement patterns of people is crucial to understanding adjacent regions and the relationship in urban areas. Most previous studies addressed zones or movement patterns separately without analysing simultaneously the two issues. In this article, we propose an integrated approach to discover directly both zones and movement patterns among the zones, referred to as movement patterns between zones (MZPs), from historical boarding behaviours of passengers in subway networks by using an agglomerative clustering method. In addition, evaluation measures of MZPs are suggested in terms of coverage and accuracy. The effectiveness of the proposed approach is finally demonstrated through a real-world data set obtained from smart cards on a subway network in Seoul, Korea.
Original language | English |
---|---|
Pages (from-to) | 1781-1801 |
Number of pages | 21 |
Journal | International Journal of Geographical Information Science |
Volume | 28 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2014 |
Keywords
- boarding behaviour
- movement clustering
- movement pattern analysis
- smart card data
- subway networks
- zone analysis