Comparison of pedestrian trip generation models
2013 (English)In: Journal of Advanced Transportation, ISSN 0197-6729, Vol. 47, no 4, 399-412 p.Article in journal (Refereed) Published
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 χ2 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.
Place, publisher, year, edition, pages
2013. Vol. 47, no 4, 399-412 p.
pedestrian, trip generation, Poisson, negative binomial, regression
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-71680DOI: 10.1002/atr.166ISI: 000320390300003OAI: oai:DiVA.org:kth-71680DiVA: diva2:486887
FunderTrenOp, Transport Research Environment with Novel Perspectives
TSC import 475 2012-01-30. QC 20120203. Updated from epub ahead of print to print 20131126.2012-01-312012-01-312013-11-26Bibliographically approved