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

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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Sustainability 2022-01, Vol.14 (1), p.325
Hauptverfasser:	Chen, Yu, Aghaabbasi, Mahdi, Ali, Mujahid, Anciferov, Sergey, Sabitov, Linar, Chebotarev, Sergey, Nabiullina, Karina, Sychev, Evgeny, Fediuk, Roman, Zainol, Rosilawati
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Bayesian analysis Behavior Built environment Chi-square test Child development College campuses Colleges & universities Forecasts and trends Investigations Malaysia Mathematical models Neighborhoods Polls & surveys Prediction models Residential areas Residential buildings Russia Sociodemographics Statistical tests Students Sustainability Travel Travel time United Kingdom University students Urban environments
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!