In this study, we propose a new schedule-based itinerary-choice model, the mixed itinerary-
size weibit model, to address the independently and identically distributed assumptions that …

Bike-sharing has a mixed relationship with public transit—characterized by modal
integration and modal substitution—and affects the public transit ridership. In previous …

We contribute to the understanding of public transport passenger route choice behavior by
developing and applying methods that capture behavioral strategies by making use of smart …

Although urban rail transit systems play a crucial role in urban mobility, they frequently suffer
from unexpected disruptions due to power loss, severe weather, equipment failure, and …

This paper proposes a two-layer decision framework to model taxi drivers' customer-search
behaviors within urban areas. The first layer models taxi drivers' pickup location choice …

Collecting fares through" smart cards" is becoming standard in most advanced public
transport networks of major cities around the world. Travellers value their convenience and …

In the MaaS (Mobility as a Service) age, the alternatives of route choice for a trip will not be
the single mode paths, but the combined routes utilizing more than one travel mode in the …

Peak and off-peak pricing strategies are an important policy tool used to spread peak
demand in public transportation systems. This study uses an agent-based simulator …

This paper introduces a model to analyze route choice behavior of taxi drivers for finding
next passenger in urban road network. Considering the situation of path overlapping …

In urban rail transit operations, conventional disruption management measures, such as
train rescheduling and bus bridging services, play a crucial role in alleviating passenger …