Development of railway station choice models to improve the representation of station catchments in rail demand models

Abstract

This paper describes the development of railway station choice models suitable for defining probabilistic station catchments. These catchments can then be incorporated into the aggregate demand models typically used to forecast demand for new rail stations. Revealed preference passenger survey data obtained from the Welsh and Scottish Governments was used for model calibration. Techniques were developed to identify trip origins and destinations from incomplete address information and to automatically validate reported trips. A bespoke trip planner was used to derive mode-specific station access variables and train leg measures. The results from a number of multinomial logit and random parameter (mixed) logit models are presented and their predictive performance assessed. The models were found to have substantially superior predictive accuracy compared to the base model (which assumes the nearest station has a probability of one), indicating that their incorporation into passenger demand forecasting methods has the potential to significantly improve model predictive performance.

Understanding the relation between travel duration and station choice behavior of cyclists in the metropolitan region of Amsterdam

“…This research is an extension and an improvement to the work done in van Kampen et al (2020). First of all, the data that was used allows us to track the travel behavior of an individual over a longer period of time compared to a specific date which is done in most surveys.…”

“…This research is an extension to our previous work in van Kampen et al (2020) where we researched the behavior of cyclists travelling to the train station in the western region of the Netherlands. The data that was used is from a national travel survey which was aggregated over the years 2015-2017.…”

“…In this equation our sigma in is the same for each individual while the other error term is still varying over trips. Readers who are interested in the full mathematical details are referred to Train (2009).…”

Park-and-Ride Choice Behavior in a Multimodal Network with Overlapping Routes

“…Station choice modeling first appeared in academic literature in the mid-1970s, and is now an established application of discrete choice modeling ( 4 ). Most often, researchers have used revealed preference data to frame station choice as a utility maximization process.…”