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Research PaperResearchia:202603.11050[Environmental Science > Economics]

How bad is time variability for users in mobility services?

Zhaoqi Zang

Abstract

Time variability is a pervasive feature of mobility services and a major source of welfare loss. Although literature has quantified the cost of time variability (COTV), it remains theoretically unclear how bad time variability can be in the worst case. Without such a benchmark, quantified variability costs lack a principled reference for assessing whether they are economically meaningful. Meanwhile, this benchmark is critical for strategic prioritization in transport appraisal, service design, and pricing -- particularly in early-stage decision making where detailed valuation is often infeasible. To fill this gap, this paper develops an expected utility (EU) framework to quantify the cost of time (COT) and COTV, establishing theoretical upper bounds on the ratio COTV/COTCOTV/COT. For users with quadratic utility, we show COTV/COT1/2CV2COTV/COT \le 1/2 CV^2, where CVCV is the coefficient of variation of service time. For Poisson processes, a common assumption, this bound simplifies to COTV/COT1/2COTV/COT \le 1/2, implying the total cost of a stochastic service is at most 1.5 times that of an otherwise identical deterministic service. In more general settings, the ratio depends on three interpretable factors: CVCV and users' second- and third-order risk preferences, captured by relative risk aversion (RRA) and relative prudence (RP). We identify benchmark values of RRA and RP that characterize preferences over mean-, variance-, and skewness-related reductions. Our analysis extends to non-EU frameworks, including dual theory and rank dependent utility, showing that key structural insights remain robust. By quantifying the cost induced by time variability and the COTV/COTCOTV/COT ratio, this study provides a data-light benchmark for early-stage decision making and a principled upper bound on users' willingness to pay for reliability improvements, informing the pricing and design of reliability-oriented services.


Source: arXiv:2603.09142v1 - http://arxiv.org/abs/2603.09142v1 PDF: https://arxiv.org/pdf/2603.09142v1 Original Link: http://arxiv.org/abs/2603.09142v1

Submission:3/11/2026
Comments:0 comments
Subjects:Economics; Environmental Science
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arXiv: This paper is hosted on arXiv, an open-access repository
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How bad is time variability for users in mobility services? | Researchia