Cited by

• 2014Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?241 cited
• 2013Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review117 cited
• 2015Comparison of Travel Diaries Generated from Smartphone Data and Dedicated GPS Devices80 cited
• 2017“Contextualizing Context”: Reconciling Environmental Exposures, Social Networks, and Location Preferences in Health Research60 cited
• 2010Semiautomatic Imputation of Activity Travel Diaries57 cited
• 2011Global Positioning System–Assisted Prompted Recall Household Travel Survey to Support Development of Advanced Travel Model in Jerusalem, Israel57 cited
• 2017What affects our urban travel behavior? A GPS-based evaluation of internal and external determinants of sustainable mobility in Stuttgart (Germany)56 cited
• 2019Combining sensor tracking with a GPS-based mobility survey to better measure physical activity in trips: public transport generates walking56 cited
• 2020Reviewing trip purpose imputation in GPS-based travel surveys53 cited
• 2013Using Smartphones and Sensor Technologies to Automate Collection of Travel Data48 cited
• 2015Field Evaluation of the Smartphone-based Travel Behaviour Data Collection App “SmartMo”44 cited
• 2015Using GPS, GIS, and Accelerometer Data to Predict Transportation Modes43 cited
• 2016A Data-Driven Method for Trip Ends Identification Using Large-Scale Smartphone-Based GPS Tracking Data42 cited
• 2013Life-space characterization from cellular telephone collected GPS data40 cited
• 2018Identifying activity-travel points from GPS-data with multiple moving windows37 cited
• 2011Dynamic Activity Generation Model Using Competing Hazard Formulation37 cited