🚗🚴‍♂️ What influences #multimodal #commuting in #megacities?
New study finds:
📉 Fewer cars boost multimodality.
⏲️ Efficient transit crucial.
📱 Gen Z leads multimodal shift.
🔗 bit.ly/3GhXqn3

#UrbanMobility #TransportationPlanning #PublicTransport #SustainableTransport #GenerationZ #TravelBehaviour

🏟️🚊 Factors influenced transport mode choice to access large-scale events:
📊 Binary logistic regression models using RP & SP data
👥 Age & gender significant
🚶 Walking access & ⏱️ travel time matter
🎟️ Frequent users behave differently
🔗 bit.ly/40AaH19
#UrbanMobility #TransportPlanning #TravelBehaviour

📱 New research on mode choice modelling using mobile phone network data:
🚗🚌 Nested logit improves car/bus estimation
⏱️ Latent class model captures value of travel time, not trip purpose
🔗 bit.ly/4oUZxNS
#TransportResearch #ModeChoice #TravelBehaviour #MobilityData
#NestedLogit #TransportPlanning

🚇 New paper: travel-based #multitasking on the Budapest metro (2019 vs 2023).
📱 Digital communication up sharply
📚 Reading & conversation down
👥 #Age, #gender & #crowding strongly influence activity choices
🔗 bit.ly/4oIJ6F7
#TransportPlanning #UrbanTransport #Metro #TravelBehaviour #PublicTransport