Name
Title | ||
|---|---|---|
An analysis on movement patterns between zones using smart card data in subway networks |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1080/13658816.2014.898768 | International Journal of Geographical Information Science |
Keywords | Field | DocType |
movement pattern analysis,zone analysis,boarding behaviour,smart card data,movement clustering,subway networks | Hierarchical clustering,Data mining,Computer science,Smart card | Journal |
Volume | Issue | ISSN |
28 | 9 | 1365-8816 |
Citations | PageRank | References |
13 | 0.79 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwanho Kim | 1 | 361 | 37.49 |
| Kyuhyup Oh | 2 | 17 | 2.19 |
| Yeong Kyu Lee | 3 | 13 | 0.79 |
| Sungho Kim | 4 | 219 | 24.80 |
| Jae-Yoon Jung | 5 | 297 | 31.94 |