The Cost of Convenience: A Hedonic Approach to Travel Time Valuation and Cost‐Benefit Analysis

Key Takeaways

• Revealed-preference hedonic model derives travel time value from rent data.
• Controls for unobserved amenities and spatial sorting in Greater Sydney.
• VTT estimates align with traditional cost‑benefit analysis figures.
• Method quantifies welfare impacts of non‑marginal accessibility changes.
• Applied to Sydney Metro West, informing project appraisal.

Pulse Analysis

Traditional travel‑time valuation relies heavily on stated‑preference surveys, which can suffer from hypothetical bias and limited sample sizes. Economists have long sought a more empirical anchor, recognizing that commuters’ willingness to pay is reflected in the broader housing market. By tying rental prices to job accessibility, the new hedonic framework captures real‑world trade‑offs, offering a credible alternative that aligns with the data‑driven expectations of modern infrastructure finance.

The authors construct a spatial hedonic price function that isolates the marginal rent premium associated with incremental accessibility gains. Crucially, the model incorporates controls for unobserved neighborhood amenities and the tendency of households to sort spatially, mitigating omitted‑variable bias. A second‑stage regression leverages the non‑linear price gradient across sub‑markets, allowing the structural demand for accessibility to be estimated without instrumental variables. This methodological leap provides a clear pathway to calculate consumer surplus for both marginal and sizable accessibility shocks, a capability that has been elusive in prior research.

Applying the model to Sydney Metro West, the researchers quantify the project’s welfare benefits in terms of increased housing values and reduced travel times. The resulting VTT estimates sit comfortably within the range used by government agencies, yet they are rooted in observed market behavior rather than survey conjecture. For policymakers and investors, this approach promises more robust cost‑benefit analyses, better risk assessment, and ultimately, infrastructure decisions that reflect genuine consumer preferences.