Airport Ground Access Mode Choice Analysis
Summary
Airport ground access mode choice analysis examines how travellers decide between private vehicles, public transport, taxis, ride-sharing and active modes when travelling to and from airports. Drawing on utility‐based frameworks, this discipline integrates behavioural economics, transport modelling and network simulation to assess how factors such as travel time, cost, reliability, luggage handling and environmental awareness influence mode selection. Advances in discrete choice modelling have enabled more refined representations of heterogeneity in traveller preferences, while the incorporation of machine-learning techniques has improved predictive accuracy. This body of work informs airport planners and policy-makers in designing integrated intermodal services, optimising infrastructure investments and developing incentives to encourage sustainable mobility. Case studies from diverse global contexts illustrate how direct rail linkages, fare structures and carbon-reduction incentives can reshape access patterns, reduce congestion and lower emissions. Ongoing challenges include balancing model complexity with practical applicability and integrating real-time data streams to support dynamic decision-making.
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Airport Ground Access Mode Choice Analysis publication trend
The graph below shows the total number of articles in airport ground access mode choice analysis across all publications each year (not limited to Nature Index journals).
Technical terms
Discrete choice modelling: A statistical framework for predicting individual selection among alternatives based on utility maximisation.
Microscopic traffic simulation: Computational analysis of individual vehicle movements to assess network performance under varying scenarios.
Stated preference survey: A data-collection method asking respondents to indicate choices in hypothetical or future scenarios.
Multinomial logit model: A regression-based behavioural model estimating probabilities of choosing among three or more discrete options.
Cumulative prospect theory: A behavioural model capturing decision-making under risk and uncertainty by weighting gains and losses non-linearly.
References
- Assessing airport ground access interventions: An integrated approach combining mode choice modeling and microscopic traffic simulation. Transport Policy (2024).
- Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis. Transportation Research Interdisciplinary Perspectives (2023).
- The Impacts of Low-Carbon Incentives and Carbon-Reduction Awareness on Airport Ground Access Mode Choice under Travel Time Uncertainty: A Hybrid CPT-MNL Model. Sustainability (2023).
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