References

• 2008Understanding individual human mobility patterns6,071 cited
• 2001Activity-based disaggregate travel demand model system with activity schedules763 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
• 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
• 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
• 2014Development of origin–destination matrices using mobile phone call data508 cited
• 2015The path most traveled: Travel demand estimation using big data resources418 cited
• 2012Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain374 cited
• 2007Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach260 cited
• 2000A comprehensive daily activity-travel generation model system for workers203 cited
• 2007Social Networks, Social Interactions, and Activity-Travel Behavior: A Framework for Microsimulation185 cited
• 2013Interdependence and predictability of human mobility and social interactions150 cited
• 2015Traffic zone division based on big data from mobile phone base stations