Modeling intra-rail transfer volumes in a suburban train station using passengers counting data

Abstract

Transferring is unavoidable in urban traveling and transferring times are perceived as more uncomfortable than running times. Many studies developed transfer estimation methods. However, no work focused on the common situation of intra-rail transfer where no tap-out data is available. This work proposes a model based on entering volumes and automatic passenger counting data to estimate transfer proportions. The model is assessed in a station of the Paris suburban railway network. A satisfying fit of the data is achieved. Transfer proportions obtained with the model are compared with values inferred from the origin-destination survey. The model and survey agree for cases with no alternative to get to the desired destination from the transfer station. Other cases show heterogeneous agreement levels.