Comparison of pedestrian trip generation models

Nam Seok Kim () and Yusak O. Susilo ()
Additional contact information
Nam Seok Kim : The Korea Transport Institute
Yusak O. Susilo : KTH, Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden

No 2013:22, Working papers in Transport Economics from 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 (search for similar items in EconPapers)
JEL-codes: O18 R41 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2013-09-25
New Economics Papers: this item is included in nep-tre and nep-ure
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
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Citations: View citations in EconPapers (4)

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