Working papers in Transport Economics,
CTS - Centre for Transport Studies Stockholm (KTH and VTI)

Abstract: Using Poisson regression and negative binomial regression, this paper presents an empirical comparison of four different regression models for the estimation of pedestrian demand at the regional level and finds the most appropriate model with reference to the National Household Travel Survey (NHTS) 2001 data for the Baltimore (USA) region. The results show that Poisson regression seems to be more appropriate for pedestrian trip generation modeling in terms of x2 ratio test, Pseudo R2, and Akaike’s information criterion (AIC). However, R2 based on deviance residuals and estimated log-likelihood value at convergence confirmed the empirical studies that negative binomial regression is more appropriate for the over-dispersed dependent variable than Poisson regression.

Keywords: Pedestrian; Trip generation; Poisson; Negative binomial; Regression

JEL-codes: O18; R41

23 pages, September 25, 2013

Note: Published as: Kim, N.S. and Susilo, Y.O. (2013) Comparison of pedestrian trip generation models. Journal of Advanced Transportation, Vol. 47 (4), pp. 399–412. DOI: 10.1002/atr.166

Full text files

CTS2013-22.pdf  

Download statistics

• CTS - Centre for Transport Studies Stockholm (KTH and VTI)
• VTI
• KTH
• See also working Papers, Swedish National Road & Transport Research Institute (VTI)
• Ordering Working Papers
• Instructions for Authors
• Home page for this series

Questions (including download problems) about the papers in this series should be directed to CTS ()
Report other problems with accessing this service to Sune Karlsson ().

RePEc:hhs:ctswps:2013_022This page generated on 2024-09-13 22:14:29.