Chapter
Sep 21, 2015
Nonparametric Approach to Analyze the Effects of Heterogeneity on Travel Duration
Authors: Xiaoli Zhang [email protected], Changjiang Zheng [email protected], and Xing Zhao [email protected]Author Affiliations
Publication: ICTE 2015
Abstract
Activity-based travel demand forecasting has got great concern in the past decade. In this paper, a nonparametric regression method is presented which can model travel durations by identifying heterogeneity patters that may undermine duration modeling if not detected. The technique utilizes a kernel estimate of the probability density function (PDF) of daily travel durations to compare different activity pattern. The advantage of this method is that it’s free of any distributional assumption. The results show that the more complex activity pattern, time spent in travel is more. And it is also found that the distribution of travel duration for the standard-working group and the long-term maintenance group cannot be modeled by a linear or a linearized function. It is indicated that the approach is effective in evaluating covariate effects.
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Published In
ICTE 2015
Pages: 2387 - 2393
Copyright
© 2015 American Society of Civil Engineers.
History
Published online: Sep 21, 2015
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Instructor, College of Civil and Transportation Engineering, Hohai University, Xikang Rd. 1#, Nanjing 210098, China. E-mail: [email protected]
Professor, College of Civil and Transportation Engineering, Hohai University, Xikang Rd. 1#, Nanjing 210098, China. E-mail: [email protected]
Instructor, College of Civil and Transportation Engineering, Hohai University, Xikang Rd. 1#, Nanjing 210098, China. E-mail: [email protected]
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