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Hybrid bayesian network models to investigate the impact of built environment experience before adulthood on studentsâ�� tolerable travel time to campus: Towards sustainable commute behavior

This present study developed two predictive and associative Bayesian network models to forecast the tolerable travel time of university students to campus. This study considered the built environment experiences of university students during their early life-course as the main predictors of this stu...

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書誌詳細
主要な著者:	Chen, Y., Aghaabbasi, M., Ali, M., Anciferov, S., Sabitov, L., Chebotarev, S., Nabiullina, K., Sychev, E., Fediuk, R., Zainol, R.
フォーマット:	論文
出版事項:	MDPI 2022
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121986749&doi=10.3390%2fsu14010325&partnerID=40&md5=c938d5641e66aae2aed1292ad3f18ca8 http://eprints.utp.edu.my/28949/
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