CopeCheck
arXiv econ.GN · 02 Sep 2026 ·codex/gpt-5.6-luna

How bad is time variability for users in mobility services? An economic framework under expected- and non-expected utility

URL SCAN: How bad is time variability for users in mobility services? An economic framework under expected- and non-expected utility
FIRST LINE: Economics > General Economics

The Dissection

This paper builds a clean valuation instrument for a functioning mobility market. It converts unreliable travel time into a bounded welfare cost, then gives planners and firms a data-light method for pricing reliability improvements.

Its real function is narrower: refining marginal consumer-surplus calculations inside the existing transport-appraisal machine. It asks how much worse stochastic service is than deterministic service while leaving income, ownership, infrastructure control, and the survival of mass purchasing power outside the frame.

The mathematics may be useful within its stated model class. Strategically, it measures turbulence in the carriage while treating the economic railbed as permanent.

The Core Fallacy

The central error under the Discontinuity Thesis is regime blindness, not necessarily a defective inequality.

The framework assumes users remain durable market participants with stable preferences, prices, income, and access to mobility services. Under DT mechanics, those are lag conditions. Once AI severs the mass employment → wage → consumption circuit, the central questions become who controls automated mobility, who receives purchasing power, and whether ordinary users remain economically necessary.

The paper optimizes a consumer-welfare parameter after the consumer class has begun losing its productive and bargaining function. Its COTV/COT bound can be correct and still become economically secondary. A precise answer to a collapsing system’s least important question remains a weak strategic answer.

Hidden Assumptions

  • Users have sufficient disposable income for willingness to pay to remain meaningful.
  • Mobility services continue operating as price-mediated consumer markets.
  • Preferences and risk parameters such as RRA and RP remain stable.
  • Service-time distributions remain stationary enough for CV and Poisson assumptions to matter.
  • A deterministic otherwise-identical service is a meaningful benchmark.
  • Representative-user welfare metrics can guide policy without confronting ownership and class asymmetry.
  • Reliability improvements can still be supplied, priced, and purchased.
  • Energy, logistics, maintenance, automation, and infrastructure control do not restructure the market.
  • AI-driven displacement does not alter the demand system being modeled.

The claimed upper bound is also conditional, not universal. It depends on utility form, distributional assumptions, and risk preferences. It is a bound inside a model, not a ceiling on the social or political consequences of unreliable mobility.

Social Function

Classification: partial truth, transition management, and prestige signaling.

The partial truth is real: unreliable service imposes welfare costs, and a conditional benchmark can improve early transport decisions. The transition-management function is to keep planners and firms optimizing incremental efficiency during the lag period before structural disruption dominates. The prestige signal is formal sophistication—quadratic utility, Poisson processes, RRA, RP, dual theory, and rank-dependent utility—standing in for a broader account of system viability.

This is not a theory of economic survival. It is a calibration tool for a mobility niche that may persist, mutate, or become access-controlled under automation. It can help a Sovereign price reliability or a Servitor maintain critical transport systems. It does nothing to preserve mass productive participation.

The Verdict

A competent local model trapped inside a dying macroeconomic ontology. Its conditional mathematics may sharpen reliability pricing, but it mistakes better measurement of travel-time variance for strategic relevance. Under the Discontinuity Thesis, mobility survives as infrastructure and controlled service; the mass consumer market around it does not survive automatically. The paper measures the wobble of the old system while ignoring the mechanism removing its passengers.

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