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Passenger Choice Models for Analysis of Impacts of Real-Time Bus Information on Crowdedness

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References

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2020Valuation of Metro Crowding Considering Heterogeneity of Route Choice Behaviors33 cited
2022Mitigating bus bunching with real-time crowding information28 cited
2024Bus bunching: a comprehensive review from demand, supply, and decision-making perspectives23 cited
2011Dynamic Modeling of Transit Operations and Passenger Decisions

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22 cited

2014Analyzing passenger density for public bus: Inference of crowdedness and evaluation of scheduling choices21 cited

2022Modeling the effect of real-time crowding information (RTCI) on passenger distribution in trains20 cited

2020Modeling of incentive-based policies for demand management for the Tehran subway17 cited

2015What Do you Do with Your App?16 cited

2022Promoting passenger behaviour change with provision of occupancy information to help moderate train overcrowding: A cognitive work analysis approach13 cited

2022Assessing public transport passenger attitudes towards a dynamic fare model based on in-vehicle crowdedness levels and additional waiting time13 cited

2018LRT passengers’ responses to advanced passenger information system (APIS) in case of information inconsistency and train crowding12 cited

2017Modelling the public transport capacity constraints’ impact on passenger path choices in transit assignment models11 cited

2018Empirical Analysis of Traveling Backwards and Passenger Flows Reassignment on a Metro Network with Automatic Fare Collection (AFC) Data and Train Diagram11 cited