Research in Transportation Economics Submission Guide

Research in Transportation Economics describes its remit as high-quality economics research in transportation. It covers economic aspects of transport, government regulation, and issues relevant to industry planners, unified by economic theory or applied economic methods. The stated goal is information useful for transport policy and industry decision making.

Write the paper's contribution in three lines:

1. the transport decision or market behavior being studied;
2. the economic mechanism or estimand that the paper identifies; and
3. the policy, welfare, planning, or industry conclusion the evidence supports.

If line two disappears, the work may be transport analytics rather than transportation economics. If line three is generic, the study may need a more precise decision frame.

For empirical work, state the unit of analysis, treatment or exposure, outcome, comparison, timing, and identifying assumption before presenting coefficient tables. Explain why the counterfactual is credible. Show pre-trends or balance where relevant, test plausible alternative specifications, and distinguish statistical precision from practical magnitude.

For structural or theoretical work, identify the behavioral assumptions, equilibrium or optimization structure, calibration or estimation route, and the observations that discipline the model. Separate results that follow from theory from those driven by selected parameters.

For forecasting or machine-learning work, explain whether the reader job is prediction or causal inference. Use out-of-sample evaluation, leakage controls, appropriate baselines, calibration where relevant, and failure analysis. Do not turn predictive association into a policy effect.

The implications section should identify the actor, instrument, time horizon, and tradeoff. Examples include pricing, service frequency, infrastructure allocation, emissions regulation, competition, safety investment, accessibility, labor effects, or network resilience.

Report distributional consequences when the average masks meaningful differences across income, geography, disability, mode access, or other affected groups. Make external-validity limits explicit: a result from one institutional setting does not automatically travel to another fare system, regulatory regime, or urban form.

Avoid treating policy relevance as an argument for a preferred policy. State what the evidence establishes, what requires value judgments, and what remains uncertain.

Use the live Guide for Authors reached from the journal page for current format and article-type requirements. Elsevier submission systems collect article details and upload files before compiling a review PDF. Keep editable text and figure sources available, even where the initial workflow appears flexible.

Prepare a concise title, author and affiliation information, abstract, keywords, main text, acknowledgments, references, tables, figures, and supplementary material as applicable. Reconcile every table and figure callout with its file and caption. Define variables, units, samples, estimation windows, standard-error choices, and significance notation.

The corresponding author should verify names, order, affiliations, emails, and contributor roles with all coauthors before entering the portal.

Explain data provenance, access rights, cleaning, linkage, exclusions, geospatial processing, inflation or currency conversions, and sample construction. If the data are proprietary or restricted, state the constraint and provide the most useful reproducibility route allowed: code, synthetic examples, variable dictionaries, access procedures, or a controlled repository.

Archive analysis code and document the software environment where possible. A reproducibility package should generate the headline tables and figures without undocumented manual steps.

Complete originality, authorship, competing-interest, funding, ethics, permission, preprint, AI-use, and data statements using the current portal language. Keep those answers consistent with the manuscript.

The journal's public page currently shows both subscription and open-access support and states that the subscription route charges no publication fee to authors. Verify the current open-access price, agreements, and funding options rather than relying on an old figure.

The page also displays current citation metrics. Those values change and should not determine fit. The right question is whether the paper's economics and decision value match the journal's readers.

The paper estimates a relationship without defining the economic object. State whether the target is demand, supply, cost, value of time, externality, market power, accessibility, welfare, or another economic quantity. A large regression table does not tell the editor which object has been learned.

The identifying assumption is hidden behind technique. Difference-in-differences, instruments, discontinuities, matching, structural estimation, and machine learning each require assumptions. Name the counterfactual and show why it is credible in the transport setting. Add falsification or sensitivity tests that challenge the specific threat rather than collecting unrelated robustness checks.

A statistically significant coefficient becomes a policy recommendation. Convert the estimate into a decision-relevant magnitude, cost, benefit, elasticity, incidence, or distributional consequence. State which welfare weights or value judgments are outside the empirical result. A policy implication should be traceable to the estimate.

Network and equilibrium effects are ignored. A change in one route, mode, price, or location may alter congestion, substitution, land use, labor markets, or service elsewhere. If the design measures only a local effect, say so. Do not label a partial-equilibrium result as system-wide welfare.

Restricted data make the result opaque. Commercial, administrative, or mobility data can be valuable without being shareable. Document provenance, cleaning, linkage, sample construction, and access governance. Release code, variable definitions, synthetic examples, or disclosure-safe aggregates that let readers inspect the analytical path.

Example: moving from forecast accuracy to an economic result

Suppose a model predicts ridership after a service change. Forecast accuracy answers an operational question, but a policy paper may also need to identify behavioral response, substitution, distribution, or welfare. Be explicit about which job the model performs. A prediction trained on the same policy regime may not identify what happens under a new fare, route, or capacity constraint.

If causal inference is not available, the paper can still make a valuable forecasting contribution. Evaluate it against realistic temporal and geographic holdouts, compare it with operational baselines, and state which decisions the error profile supports.

Create a one-row chain for each recommendation: empirical result, identifying assumption, affected actor, feasible instrument, expected benefit, likely burden, and uncertainty. Remove a recommendation when a link is missing. Where several instruments could produce the same outcome, explain why the manuscript supports one over another or leave that choice open.

This audit also improves the discussion. It separates what the study found from what institutions should value, what they can implement, and what requires additional evidence.

• State the transport decision, economic mechanism, and contribution in three lines.
• Verify the identifying assumptions and test credible alternatives.
• Separate prediction, causal inference, and welfare analysis.
• Report effect magnitude and uncertainty, not only significance.
• Make policy implications actor-specific and bounded.
• Explain distributional and external-validity limits.
• Document data provenance, transformations, code, and access constraints.
• Reconcile titles, values, figures, tables, and supplements.
• Complete author, funding, conflict, ethics, permission, and AI-use declarations.
• Inspect the compiled review PDF before final approval.

Browse the journal directory, review how to choose a journal, or run the pre-submission review checklist.