A data driven approach to update public transport service elasticities

Understanding the passenger demand impacts of public transport service changes is a fundamental aspect of transport planning. The main objective of this study is to derive an updated Generalised Journey Time (GJT) elasticity for urban and metropolitan public transport networks, by applying a revealed preference approach using individual...

Analysis and prediction of ridership impacts during planned public transport disruptions

Urban metro and tram networks are regularly subject to planned disruptions, including closures, resulting from the need to maintain and renew infrastructure. In this study, we first empirically analyse the passenger demand response to planned public transport disruptions based on individual passenger travel behaviour, based on which we infer...

Public transport fare elasticities from smartcard data: Evidence from a natural experiment

This paper develops a method for analysing the elasticity of travel demand to public transport fares. The methodology utilizes public transport smartcard data for collecting disaggregate full population data about passengers’ travel behaviour. The study extends previous work by deriving specific fare elasticities for distinct socioeconomic (e...

Evaluation of public transport fare policy using smartcard data: Travel patterns change and distributional effects in Stockholm County

This study investigated the potential of ex-post fare policy evaluation utilising smartcard data. It looked into how to identify and measure the actual outcomes of a policy, define the degree of its success, and even find some unexpected side-effects of high importance. The study is based on a case of the public transport fare policy introduced...