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Using Poisson Regression Model to Examine Student Travel Frequency Patterns in Beijing
Abstract:
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.
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2738-2741
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September 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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