Cited by

• 2014Cycling Under Influence: Summarizing the Influence of Perceptions, Attitudes, Habits, and Social Environments on Cycling for Transportation203 cited
• 2020Bike-sharing systems’ impact on modal shift: A case study in Delft, the Netherlands190 cited
• 2019Why cities with high bicycling rates are safer for all road users133 cited
• 2019Impacts of the built environment and travel behaviour on attitudes: Theories underpinning the reverse causality hypothesis127 cited
• 2015Transition to a cyclable city: Latent variables affecting bicycle commuting121 cited
• 2016Short-term planning and policy interventions to promote cycling in urban centers: Findings from a commute mode choice analysis in Barcelona, Spain120 cited
• 2014Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam117 cited
• 2016E-bike use in Sweden – CO2 effects due to modal change and municipal promotion strategies117 cited
• 2015Objective correlates and determinants of bicycle commuting propensity in an urban environment116 cited
• 2019Bicycle parking: a systematic review of scientific literature on parking behaviour, parking preferences, and their influence on cycling and travel behaviour113 cited
• 2011Similarities in Attitudes and Norms and the Effect on Bicycle Commuting: Evidence from the Bicycle Cities Davis and Delft113 cited
• 2014How Can Psychological Theory Help Cities Increase Walking and Bicycling?108 cited
• 2014Bicycle boulevards and changes in physical activity and active transportation: Findings from a natural experiment101 cited
• 2020Comparison of usage regularity and its determinants between docked and dockless bike-sharing systems: A case study in Nanjing, China98 cited
• 2023On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice94 cited
• 2015Who cycles more? Determining cycling frequency through a segmentation approach in Montreal, Canada91 cited