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UNDERSTANDING TRAVEL BEHAVIOUR AND FACTORS AFFECTING TRIP RATES
| Citations: | 2 - 1 self |
BibTeX
@MISC{Jahanshahi_understandingtravel,
author = {Kaveh Jahanshahi and Ian Williams and Xu Hao},
title = {UNDERSTANDING TRAVEL BEHAVIOUR AND FACTORS AFFECTING TRIP RATES},
year = {}
}
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Abstract
Making use of the National Travel Survey dataset (NTS) for Great Britain, this paper analyses the influence of various socio-economic and accessibility factors on trip rates, and whether these trip rates are stable over time. The motivation of the research was: i. to examine whether the current variables in use within the UK Department for Transport's National Trip End Model (NTEM) are sufficient to explain the observed pattern of variations in trip rates, ii. to provide advice on how NTEM could be improved. Various home based, non home based and escort trip purposes were individually analysed making innovative use of negative binomial regression, a method designed specifically for the analysis of count data. Negative binomial is an extension to Poisson regression, which can account for greater than Poisson variation and is based on the negative binomial distribution. It has been shown that using Poisson regression for analysing trip rates may overestimate the importance of some of the variables within the model as the
Keyphrases
trip rate factor affecting trip rate understanding travel behaviour poisson regression current variable innovative use negative binomial negative binomial distribution accessibility factor observed pattern national travel survey dataset escort trip purpose negative binomial regression great britain various home poisson variation national trip end model uk department count data
