References

• 2011Smart card data use in public transit: A literature review930 cited
• 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
• 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
• 2014Development of origin–destination matrices using mobile phone call data508 cited
• 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
• 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
• 2013Using cell phone data to measure quality of service and passenger flows of Paris transit system80 cited
• 2012A Methodology for Modeling and Identifying Users Satisfaction Issues in Public Transport Systems Based on Users Surveys77 cited
• 2015The association of trip distance with walking to reach public transit: Data from the California Household Travel Survey70 cited
• 2006New spatial patterns of mobility within the metropolitan area of Madrid: Towards more complex and dispersed flow networks67 cited
• 2015Identification and classification of public transport activity centres in Stockholm using passenger flows data66 cited
• 2012Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data66 cited
• 2015Data driven improvements in public transport: the Dutch example37 cited