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Then, the MSAC algorithm is adopted as the benchmark for the comparison study on the solving performance of the proposed DD-MSAC algorithm. We conducted 30 times simulation run under different network scales in our numerical examples to show that the DD-MSAC algorithm can be equally effective as the non-data-driven MSAC algorithm in finding a nondominated solution as the average error does not exceed 5%. Meanwhile, we analyze the impact of different data-driven approaches, including data pool and support vector machine, on the solution quality and the running time. Finally, we use an example of China\u2019s Belt Road Initiative to verify the effectiveness of the proposed algorithm.<\/jats:p>","DOI":"10.1051\/ro\/2023090","type":"journal-article","created":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T19:02:05Z","timestamp":1686510125000},"page":"1745-1765","source":"Crossref","is-referenced-by-count":23,"title":["Multi-objective optimization for multimodal transportation routing problem with stochastic transportation time based on data-driven approaches"],"prefix":"10.1051","volume":"57","author":[{"given":"Yong","family":"Peng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu Han","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8402-1088","authenticated-orcid":false,"given":"Dennis","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun Peng","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi Juan","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"250","published-online":{"date-parts":[[2023,7,11]]},"reference":[{"key":"R1","first-page":"467","volume":"14","author":"Crainic","year":"2007","journal-title":"Handb. 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