The application of a multi-operator smart card dataset to identify transfer locations with a high potential for transfer time loss minimization

Travelers do not like transfers in their Public Transport journey; it gives a disutility. Minimizing this disutility is valuable to increase travelers' satisfaction. To be able to reduce this disutility, transfers have to be identified first. Multi-operator smart card datasets allow for the identification of transfers between different operators...

Measuring activity-based Social Segregation using Public Transport Smart Card Data

While social segregation is often assessed in terms of one socio-geographic space, usually place of residence, more recent approaches also incorporate activity-based and, in particular, mobility-based data. This study extends the use of mobility data to measure social segregation between multiple groups by developing a method to connect socio...

Automated offline detection of disruptions using smart card data: A case study of the metro network of Washington DC

Service reliability is one of the most important performance measures to public transport users. Detecting disruptions helps to measure service reliability, which can be used by public transport operators to improve this reliability. In this thesis, a methodology is described to automatically detect disruptions offline, using smart card data....