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March 3, 2026Case Studies on Transport Policy0 citationsOpen Access

Designing efficient pricing models to mitigate transport-related externalities in intercity corridors

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CSCarlos SampaioMCM. C. CoelhoEMEloísa Macedo

Key Points

  • A combined pricing package, including fare-free rail and a fuel tax increase, cuts transport-related external costs by 7.1%.
  • Elasticity-driven demand updates using macroscopic models inform the pricing strategy for the travel corridor.
  • The analysis evaluates the fiscal and environmental impacts of various pricing policies in the Aveiro-Coimbra corridor.
  • The findings suggest that pricing reforms should prioritize equity to enhance political acceptability.

Abstract

• Scenario-based pricing for an intercity surface travel corridor. • Elasticity-driven demand update with macroscopic external-cost models. • We simulate fare-free rail, no tolls, +5% fuel tax, and a combined package. • Combined package maximizes fiscal-environmental indicators, cutting external costs by 7.1%. This paper evaluates pricing policies to reduce transport-related external costs in an intercity corridor (Aveiro-Coimbra, Portugal). We build a numerical platform that updates multimodal demand via arc-elasticities and re-estimates external costs with flow-dependent linear functions calibrated for the corridor. Results show that a combined package, fare free rail plus + 5% fuel tax (increasing from 40% to 45%), delivers the strongest overall outcome, cutting external costs by 7.1% while raising state revenue by 2.1%. We primarily assess changes in social welfare driven by reductions in transport-related external costs and additionally report the associated changes in state revenue as a complementary fiscal metric. We also discuss distributional impacts, as equity concerns are central to the political acceptability of pricing reforms: uniform fuel-tax increases may be regressive where public transport alternatives are weak, motivating an “invest first, then price” sequencing. The methodology is transferable to similar corridors and supports evidence-based pricing design.

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Cite This Study

Sampaio et al. (2026) studied this question.

synapsesocial.com/papers/69a75d4bc6e9836116a2713dhttps://doi.org/10.1016/j.cstp.2026.101732
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