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In \u201cMean-Risk Traffic Assignment Under the Continuously Distributed Risk-Aversion Factor,\u201d Xu, Li, Xie, Chen, and Liu develop a new traffic equilibrium framework that directly accommodates a continuous distribution of risk aversion. The resulting model generalizes the classical Wardrop equilibrium to settings with both stochastic travel times and continuous preference heterogeneity, providing a more refined representation of real-world routing behavior. This study demonstrates that the continuous approach outperforms the discrete approach by not only eliminating the inherent discretization bias\u2014that can mislead infrastructure investment decisions\u2014but also delivers superior computational performance, requiring less run time and memory. More broadly, the framework could be potentially applied to a wide range of biobjective congestion routing games where user preferences are continuously distributed.<\/jats:p>","DOI":"10.1287\/opre.2024.1027","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T15:56:18Z","timestamp":1770738978000},"page":"1263-1283","source":"Crossref","is-referenced-by-count":0,"title":["Mean-Risk Traffic Assignment Under the Continuously Distributed Risk-Aversion Factor"],"prefix":"10.1287","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3574-3125","authenticated-orcid":false,"given":"Zhandong","family":"Xu","sequence":"first","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610032, 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