arXiv (OAI Expanded)
open access
How bad is time variability for users in mobility services? An economic framework under expected- and non-expected utility
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 variabilit
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- How bad is time variability for users in mobility services? An economic framework under expected- and non-expected utility#819311
- One rule does not fit all: Deviations from universality in human mobility modeling.#469103
- Conditional variability#85162
- How balanced time perspective affects short-video addiction: a chain mediation model based on trait anxiety and ego depletion.#1097798
- Empirical Trajectory Sparsity Biases Mobility-Informed Epidemic Modeling#1062914
Record · ID 809318
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive