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Analysis of public transit service performance using transit smart card data in Seoul
| Content Provider | Semantic Scholar |
|---|---|
| Author | Song, Ji young Moon, Dae-Seop |
| Copyright Year | 2015 |
| Abstract | This study analyzed the performance of transit services using data collected from Automatic Fare Collection (AFC) system in Seoul with respect to service measures such as schedule adherence of metro, occupancy (crowdedness), and the operational speeds of buses. In order to analyze the transit services performances, we developed data-mining logics and applied them to a case study. These logics successfully indicate the route segment with a low Level of Service (LOS) for metro punctuality and bus operational speeds during peak hours (i.e., 7 a.m. to 9 a.m.). Further, a relationship between vehicle occupancy and punctuality on certain transit route segments is easily found based on the logical analysis. These empirical applications are beneficial to transit agencies and planners for improving transit service performances by using massive amount of data. |
| Starting Page | 1530 |
| Ending Page | 1537 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/s12205-015-0013-0 |
| Volume Number | 19 |
| Alternate Webpage(s) | https://page-one.springer.com/pdf/preview/10.1007/s12205-015-0013-0 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
