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 2021-11-01 to 2025-11-01.)
ArticleCitations
Measuring gendered values of time for married couples by life stage based on an intertemporal household utility-maximization model94
Editorial Board89
Editorial Board89
A multiple discrete continuous extreme value choice (MDCEV) model with a linear utility profile for the outside good recognizing positive consumption constraints83
Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation82
Modeling landside container terminal queues: Exact analysis and approximations80
Sustainable hub location under uncertainty75
Real-time vehicle relocation, personnel dispatch and trip pricing for carsharing systems under supply and demand uncertainties67
Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations66
Scheduling UAV-assisted urban subway inspection services62
A systematic review of node models for macroscopic network loading of traffic flows60
Improving transportation network redundancy under uncertain disruptions via retrofitting critical components57
Schedule negotiation with ADA paratransit riders under value of time uncertainty57
Supply regulation under the exclusion policy in a ride-sourcing market55
Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning54
Editorial Board53
Autonomous vehicles policy and safety investment: An equilibrium analysis with endogenous demand53
Convergence analysis on control for traffic signals in urban road network51
The value of flexible flight-to-route assignments in pre-tactical air traffic management50
Planning reliable service facility location against disruption risks and last-mile congestion in a continuous space50
Minimizing the total travel distance for the locker-based drone delivery: A branch-and-cut-based method50
Carrot or stick? Environmental and welfare implications of sustainable aviation fuel policies50
Uncapacitated single-allocation hub median location with edge upgrading: Models and exact solution algorithms49
Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models48
Risk-aware urban air mobility network design with overflow redundancy48
Measurement and ranking of important link combinations in the analysis of transportation network vulnerability envelope buffers under multiple-link disruptions47
Revisiting McFadden’s correction factor for sampling of alternatives in multinomial logit and mixed multinomial logit models46
Alleviating bus bunching via modular vehicles46
Robust vessel traffic scheduling with uncertain Berth Service Times in a Seaport43
Combining time dependency and behavioral game: A Deep Markov Cognitive Hierarchy Model for human-like discretionary lane changing modeling43
A multitrait-multimethod model linking consumers’ priorities and preferences in public transport usage43
Editorial Board42
Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand42
Tailored priority allocation in the bottleneck model with general user heterogeneity42
Air Traffic Flow Management Integrating Separation Management and Ground Holding: An Efficiency-Equity Bi-objective Perspective41
Governmental subsidy plan modeling and optimization for liquefied natural gas as fuel for maritime transportation41
The vehicle routing problem of intercity ride-sharing between two cities40
Sensitivity analysis for transit equilibrium assignment and applications to uncertainty analysis40
Generating online freight delivery demand during COVID-19 using limited data39
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