Transportation Research Part B-Methodological

Papers
(The H4-Index of Transportation Research Part B-Methodological is 39. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
A multiple discrete continuous extreme value choice (MDCEV) model with a linear utility profile for the outside good recognizing positive consumption constraints85
Editorial Board84
Editorial Board84
Measuring gendered values of time for married couples by life stage based on an intertemporal household utility-maximization model81
Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation79
Sustainable hub location under uncertainty79
Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations74
Scheduling UAV-assisted urban subway inspection services73
A systematic review of node models for macroscopic network loading of traffic flows71
Modeling landside container terminal queues: Exact analysis and approximations64
Real-time vehicle relocation, personnel dispatch and trip pricing for carsharing systems under supply and demand uncertainties60
Improving transportation network redundancy under uncertain disruptions via retrofitting critical components55
Convergence analysis on control for traffic signals in urban road network55
Spatial pricing in ride-sourcing markets under a congestion charge55
Revisiting McFadden’s correction factor for sampling of alternatives in multinomial logit and mixed multinomial logit models51
Planning reliable service facility location against disruption risks and last-mile congestion in a continuous space51
Editorial Board50
Carrot or stick? Environmental and welfare implications of sustainable aviation fuel policies50
Schedule negotiation with ADA paratransit riders under value of time uncertainty48
Alleviating bus bunching via modular vehicles47
Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning47
Autonomous vehicles policy and safety investment: An equilibrium analysis with endogenous demand46
Supply regulation under the exclusion policy in a ride-sourcing market46
The value of flexible flight-to-route assignments in pre-tactical air traffic management45
Uncapacitated single-allocation hub median location with edge upgrading: Models and exact solution algorithms45
Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models45
Risk-aware urban air mobility network design with overflow redundancy45
Minimizing the total travel distance for the locker-based drone delivery: A branch-and-cut-based method44
Measurement and ranking of important link combinations in the analysis of transportation network vulnerability envelope buffers under multiple-link disruptions44
Combining time dependency and behavioral game: A Deep Markov Cognitive Hierarchy Model for human-like discretionary lane changing modeling43
Sensitivity analysis for transit equilibrium assignment and applications to uncertainty analysis43
Tailored priority allocation in the bottleneck model with general user heterogeneity42
Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand42
Air Traffic Flow Management Integrating Separation Management and Ground Holding: An Efficiency-Equity Bi-objective Perspective42
The vehicle routing problem of intercity ride-sharing between two cities41
Governmental subsidy plan modeling and optimization for liquefied natural gas as fuel for maritime transportation41
Booking cum rationing strategy for equitable travel demand management in road networks40
A topological network connectivity design problem based on spectral analysis40
Generating online freight delivery demand during COVID-19 using limited data40
0.59211397171021