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 - 成果

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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

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成果类型：

期刊论文

作者：

Chen, Yu;Aghaabbasi, Mahdi;Ali, Mujahid;Anciferov, Sergey;Sabitov, Linar;...

通讯作者：

Chen, Y.

作者机构：

[Chen, Yu] Hunan Univ, Sch Architecture, Changsha 410012, Peoples R China.

[Chen, Yu] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413002, Peoples R China.

[Aghaabbasi, Mahdi; Zainol, Rosilawati] Univ Malaya, Fac Built Environm, Ctr Sustainable Urban Planning & Real Estate SUPR, Dept Urban & Reg Planning, Kuala Lumpur 50603, Malaysia.

[Ali, Mujahid] Univ Teknol Petronas, Dept Civil & Environm Engn, Seri Iskandar 32610, Perak, Malaysia.

[Sychev, Evgeny; Anciferov, Sergey] Belgorod State Technol Univ, Dept Mech Equipment, Belgorod 308012, Russia.

通讯机构：

School of Architecture, Hunan University, Changsha, China

语种：

英文

关键词：

tolerable travel time;university students;built environment;early life-course;Bayesian network;machine learning

期刊：

Sustainability

ISSN：

2071-1050

年：

2022

卷：

期：

DOI：

10.3390/su14010325

基金类别：

Ministry of Science and Higher Education of the Russian Federation [075-15-2021-1333]

机构署名：

本校为其他机构

院系归属：

建筑与城市规划学院

摘要：

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 study. The Bayesian network models were hybridized with the Pearson chi-square test to select the most relevant variables to predict the tolerable travel time. Two predictive models were developed. The first model was applied only to the variables of th...

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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

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