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The individual characteristics of travelers and intercity travel activity data were obtained, and they were matched with the weather characteristics at the departure time of the travelers. The Bayesian multinomial logit regression was employed to explore the relationship between the travel mode choice and weather characteristics. The results showed that temperature, relative humidity, rainfall, wind, air quality index, and visibility had significant effects on the travel mode selection of travelers, and the addition of these variables could improve the model\u2019s predictive performance. The research results can provide a scientific decision basis for traveler flow transfer and the prediction of traffic modes choice due to the effects of climate change.<\/jats:p>","DOI":"10.1155\/2021\/9969322","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T03:35:09Z","timestamp":1629862509000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Influence of Weather Conditions on the Intercity Travel Mode Choice: A Case of Xi\u2019an"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6947-4448","authenticated-orcid":false,"given":"Xiaowei","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiangqiang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenbo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baojie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,8,24]]},"reference":[{"key":"e_1_2_10_1_2","first-page":"636","article-title":"Modeling a multinomial logit model of intercity travel mode choice behavior for all trips in Libya","volume":"7","author":"Miskeen M. 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