| Title |
Estimating Station Transfer Trips of Seoul Metropolitan Urban Railway Stations -Using Transportation Card Data - |
| DOI |
https://doi.org/10.12652/Ksce.2018.38.5.0693 |
| Keywords |
Big-Node 기반 네트워크;역사환승;수도권 도시철도역사;노선간환승;대중교통카드자료 Big-Node based network;Station transfer;Seoul metropolitan urban railway stations;Transfer between lines;Transportation card data |
| Abstract |
Transfer types at the Seoul Metropolitan Urban Railway Stations can be classified into transfer between lines and station transfer. Station transfer is defined as occurring when either 1) the operating line that operates the tag-in card-reader and that operating the first train boarded by the passenger are different; or 2) the line operating the final alighted train and that operating the tag-out card-reader are different. In existing research, transportation card data is used to estimate transfer volume between lines, but excludes station transfer volume which leads to underestimation of volume through transfer passages. This research applies transportation card data to a method for station transfer volume estimation. To achieve this, the passenger path choice model is made appropriate for station transfer estimation using a modified big-node based network construction and data structure method. Case study analysis is performed using about 8 million daily data inputs from the metropolitan urban railway. |