230.548 People
Berg, Vincent A. C. Van Den
VU Amsterdam
in Cooperation with on an Cooperation-Score of 37%
Topics
- automobile
- public transit
- behavior
- prototype
- bus
- competition
- regulation
- price
- traveler
- profit
- railroad train
- business model
- consumer
- market structure
- economics
- mobility-as-a-service
- private transportation
- traffic congestion
- autonomous vehicle
- travel
- sensitivity
- bottleneck
- lowering
- travel pattern
- autonomous automobil
- pricing
- timetable
- aggregate
- externality
- monopoly
- commuter
- toll
- road network
- uncertainty
- expected value
- financing
- private road
- congestion pricing
- value of time
- ponding
- origin and destination
- supplier
- queuing
- regression analysis
- airplane
- quality of service
- flight
- travel time
- weather
- market
- airport
- airline
- employee
- customer
- grievance
- Research Context United States of America
- market share
- vehicle fleet
- load factor
- road
- driver
- human being
- chemical element
- departure time
- taxation
- highway capacity
- driving
- procurement
- autonomous driving
- robot
- numerical analysis
- benchmark
- simulation
- road pricing
- ridership
- coalition
- scheduling
- costs
- reliability
- vehicle occupant
- data collection
- data
- passenger
- port
- gasoline
- passenger transportation
- questionnaire
- travel cost
- household
- stated preference
- income
- education
- parking
- choice model
- cost benefit analysis
- developed country
- service station
- bus stop
- garage
- interviewing
- recruiting
- parking garage
- hub
- railroad network
- transport demand
- fee
- multimodal transportation
- fare
- transit operator
- internalization
- transport costs
- revenue
- consumer surplus
- maximization
- crowd
- automobile travel
- railroad travel
- frontage road
- modeling
- braking
- multinomial logit
- show 91 more
Publications
- 2020Business models for interoperable mobility services
- 2019Autonomous cars and dynamic bottleneck congestion revisited: how in-vehicle activities determine aggregate travel patterns
- 2018Private road networks with uncertain demandcitations
- 2018Private road supply in networks with heterogeneous userscitations
- 2017Private Road Supply in Networks with Heterogeneous Users
- 2017The total size of an airline and the quality of its flights
- 2016Carrier Collaboration With Endogenous Fleets and Load Factors When Networks are Complementarycitations
- 2016Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneitycitations
- 2015Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity
- 2015Private Road Networks with Uncertain Demand
- 2015De waarde van betrouwbare reistijden in personenverkeer en –vervoer in Nederland
- 2015Complementary Alliances with Endogenous Fleets and Load Factors
- 2014A hotelling model with price-sensitive demand and asymmetric distance costs the case of strategic transport scheduling
- 2014New values of time and reliability in passenger transport in The Netherlandscitations
- 2014Airlines' strategic interactions and airport pricing in a dynamic bottleneck model of congestioncitations
- 2014Airline route structure competition and network policycitations
- 2014Congestion pricing in a road and rail network with heterogeneous values of time and schedule delaycitations
- 2013Airline Route Structure Competition and Network Policy
- 2013Competition in multi-modal transport networks: A dynamic approachcitations
- 2012Airlines' Strategic Interactions and Airport Pricing in a Dynamic Bottleneck Model of Congestion
- 2012Hotelling Models with Price-Sensitive Demand and Asymmetric Transport Costs: An Application to Public Transport Scheduling
- 2012Competition in Multi-Modal Transport Networks: A Dynamic Approach
- 2012Is the travel time of private roads too short, too long, or just right?citations
- 2012Step tolling with bottleneck queuing congestioncitations
- 2011Is the service quality of private roads too low, too high, or just right when firms compete Stackelberg in capacity?
- 2011Congesting pricing in a road and rail networks with heterogeneous values of time and schedule delay
- 2011Congestion Pricing With Heterogeneous Travellers
- 2011Winning or losing from dynamic bottleneck congestion pricing? The distributional effects of road pricing with heterogeneity in values of time and schedule delaycitations
- 2011Congesting Pricing in a Road and Rail Network with Heterogeneous Values of Time and Schedule Delay
- 2010Why congestion tolling could be good for the consumer: The effects of heterogeneity in the values of schedule delay and time on the effects of tolling
- 2010Step by step: Revisiting step tolling in the bottleneck model
- 2010Biases in willingness-to-pay measures form multinomial logit estimates due to unobserved herogeneity
- 2009Second-best congestion tolling in the bottleneck model with continuous heterogeneity in value of time
- 2009De effecten van reiskostencompensatie op treinreizigers
- 2008Choice of season cards in public transport: a study of a SP experiment
Places of action
report
Airlines' Strategic Interactions and Airport Pricing in a Dynamic Bottleneck Model of Congestion
Abstract
This paper analyzes efficient pricing at a congested airport dominated by a single firm. Unlike much of the previous literature, we combine a dynamic (bottleneck) model of congestion and a vertical structure model that explicitly considers the role of airlines and passengers. We show that when a Stackelberg leader interacts with a competitive fringe, charging the congestion toll that is derived for fully atomistic carriers to both leader and fringe yields the first-best outcome. This holds regardless of the leader's internalization of congestion in the unregulated equilibrium, and regardless of the assumed demand substitution pattern between firms. This result implies that the financial deficit under optimal pricing may be less severe than what earlier studies suggest. Finally, we show that there are various alternative toll regimes that also induce the welfare maximizing outcome, and therefore widen the set of choices for regulators.
Topics
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