TY - JOUR
T1 - Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model : a demand-side model
AU - Li, Q.
AU - Liao, F.
AU - Timmermans, H.J.P.
AU - Huang, H-J
AU - Zhou, J.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Free-floating car-sharing (FFC) has recently received increasing attention due to the flexibility in mobility services. Existing studies related to FFC mainly focus on the analysis of operational management and user preferences. Efforts to model the dynamic choices of free-floating shared cars (SCs) in individuals’ daily multi-modal multi-activity trip chains have still been rare. This study proposes a tolerance-based dynamic user equilibrium model of activity-travel scheduling that formulates free-floating SC as an alternative transport mode for conducting daily activities. The model embeds the choice of SC into daily trip chains by extending the state-of-the-art multi-state supernetwork representation. The dynamic traffic flows and supply-demand interactions of SCs are captured endogenously. Moreover, traveler heterogeneity and different pricing schemes are taken into account. A path-flow swapping method is suggested to solve the tolerance-based dynamic user equilibrium model. Numerical examples of various scenarios demonstrate that fleet size, distribution, and rental-parking price of FFC significantly influence the choice of SC and activity-travel pattern.
AB - Free-floating car-sharing (FFC) has recently received increasing attention due to the flexibility in mobility services. Existing studies related to FFC mainly focus on the analysis of operational management and user preferences. Efforts to model the dynamic choices of free-floating shared cars (SCs) in individuals’ daily multi-modal multi-activity trip chains have still been rare. This study proposes a tolerance-based dynamic user equilibrium model of activity-travel scheduling that formulates free-floating SC as an alternative transport mode for conducting daily activities. The model embeds the choice of SC into daily trip chains by extending the state-of-the-art multi-state supernetwork representation. The dynamic traffic flows and supply-demand interactions of SCs are captured endogenously. Moreover, traveler heterogeneity and different pricing schemes are taken into account. A path-flow swapping method is suggested to solve the tolerance-based dynamic user equilibrium model. Numerical examples of various scenarios demonstrate that fleet size, distribution, and rental-parking price of FFC significantly influence the choice of SC and activity-travel pattern.
KW - Activity-travel scheduling
KW - Dynamic user equilibrium
KW - Free-floating car-sharing
KW - Multi-state supernetwork
UR - https://www.scopus.com/pages/publications/85037352511
U2 - 10.1016/j.trb.2017.11.011
DO - 10.1016/j.trb.2017.11.011
M3 - Article
SN - 0191-2615
VL - 107
SP - 102
EP - 123
JO - Transportation Research. Part B: Methodological
JF - Transportation Research. Part B: Methodological
ER -