An automated framework to derive model variables from open transport data using R, PostgreSQL and OpenTripPlanner

Abstract

This paper outlines a framework that utilises open source software tools to automatically generate the explanatory variables needed for certain transport models, such as mode choice or station choice, from disparate sources of open transport data. A key component of the framework is OpenTripPlanner, an open source multi-modal route planner that builds transport networks using OpenStreetMap, GTFS transit feeds, and digital elevation model data. A case study, applying the framework to generate data for a multinomial logit station choice model, is also described