Abstract Receivers and intermediary establishments typical to urban areas have unique freight behaviour and are understudied, particularly in developing countries. This paper uses establishment-based freight survey data to examine their freight generation patterns in the Chennai metropolitan area, India. Three sets of Simple Linear Regression (SLR) models, three single predictor proportional odds logit models, one multiple linear regression model, and one multiple predictor proportional odds logit model with business size (employment, area, and operational age) and indicators of establishment category as regressors are developed each for both freight production and freight attraction. Partial proportional odds logit models are developed in a few cases to overcome the limitations of proportional odds logit models. The best SLR model varied with the establishment category for freight production and attraction. The establishment area model is the best among single predictor proportional odds logit models. The multiple predictor proportional odds logit models marginally improved the fit over single predictor models. The proportional odds logit model results show that the establishment category has a greater impact on freight generation levels than business size variables. Since earlier studies rarely focused on receivers and intermediary establishments, policymakers may benefit from the developed models and study insights while estimating freight demand and developing freight policies.

    Highlights Receivers and intermediary establishments’ freight generation is studied. Partial Proportional Odds (PO) logit models are developed for freight attraction. Area model is the best single predictor PO logit model for freight generation. Establishment type affects freight generation more than business size variables.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modelling urban freight generation using linear regression and proportional odds logit models



    Published in:

    Transport Policy ; 148 ; 145-153


    Publication date :

    2023-12-21


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    European Freight Transport Analysis Using Neural Networks and Logit Models

    Reggiani, A. / Nijkamp, P. / Wai Fai Tsang et al. | British Library Conference Proceedings | 1998



    A weighted logit freight mode-choice model

    Rich, J. | Online Contents | 2009


    A weighted logit freight mode-choice model

    Rich, J. / Holmblad, P.M. / Hansen, C.O. | Elsevier | 2009


    A weighted logit freight mode-choice model

    Rich, J. | Online Contents | 2009