Hybrid Bayesian network models to investigate the impact of built environment experience before adulthood on students' tolerable travel time to campus: Towards sustainable commute behavior

• Main Authors: Chen, Yu, Aghaabbasi, Mahdi, Ali, Mujahid, Anciferov, Sergey, Sabitov, Linar, Chebotarev, Sergey, Nabiullina, Karina, Sychev, Evgeny, Fediuk, Roman, Zainol, Rosilawati
• Format: Article
• Published: MDPI 2022
• Subjects: GE Environmental Sciences; NA Architecture
• Online Access: http://eprints.um.edu.my/33530/

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...