Using hierarchical tree-based regression model to examine university student travel frequency and mode choice patterns in China

2016 ◽  
Vol 45 ◽  
pp. 55-65 ◽  
Author(s):  
Guangjun Zhan ◽  
Xuedong Yan ◽  
Shanjiang Zhu ◽  
Yun Wang
2014 ◽  
Vol 1030-1032 ◽  
pp. 2738-2741
Author(s):  
Guang Jun Zhan

This paper applies Poisson regression model to examine university students' travel frequencies and relevant influence factors, using the data collected from four universities in Beijing by a web-based online travel survey. It finds that student grade, family income and school attended have significant effects on students' travel frequency. The study results reveal students travel frequency characteristics at a disaggregate level and provide information to well understand student travel frequency patterns.


2015 ◽  
Vol 20 (4) ◽  
pp. 399-412 ◽  
Author(s):  
Uan Xiao ◽  
Kevin Kam Fung So ◽  
Ying Wang

2016 ◽  
Vol 137 ◽  
pp. 729-737 ◽  
Author(s):  
Juan Li ◽  
Jinxian Weng ◽  
Chunfu Shao ◽  
Hongwei Guo

Author(s):  
Paul Haggar ◽  
Lorraine Whitmarsh ◽  
Stephen M. Skippon

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