References

• 2008Understanding individual human mobility patterns6,071 cited
• 2022Forecasting: theory and practice942 cited
• 2013Mining smart card data for transit riders’ travel patterns606 cited
• 2016Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges253 cited
• 2016Inferring patterns in the multi-week activity sequences of public transport users197 cited
• 2014Passenger Segmentation Using Smart Card Data195 cited
• 2017Analyzing year-to-year changes in public transport passenger behaviour using smart card data182 cited
• 2015Measuring variability of mobility patterns from multiday smart-card data131 cited
• 2017Measuring Regularity of Individual Travel Patterns122 cited
• 2015A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data91 cited
• 2018Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data70 cited
• 2022Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data65 cited
• 2016Using survival models to estimate bus travel times and associated uncertainties63 cited
• 2020Key determinants and heterogeneous frailties in passenger loyalty toward customized buses: An empirical investigation of the subscription termination hazard of users