Jurnal Internasional
International Journal Logistic Management: Discrete choice model for air-cargo mode selection
Abstract
Purpose – The purpose of this paper is to develop a better understanding of the factors that influence
a shipper’s decision to choose air cargo as a mode of shipment.
Design/methodology/approach – A disaggregate multinomial discrete choice model is developed
using freight shipment survey data to identify critical factors influencing air cargo mode choice.
Disaggregate revealed preference data is obtained from surveying 347 manufacturers, freight
forwarders, and other third-party service providers.
Findings – The empirical model developed in this research shows that the rate of shipment, time
of transit, cost-per-pound shipped, quantity shipped, perishability and delay rate of the mode are
significant factors that influence mode choice.
Research limitations/implications – The discrete choice model developed can be improved by
taking into account logistics costs not considered in this research. Perhaps more in-depth surveys
of the shippers and freight forwarders are needed. Additionally, improving the mode choice model
by including stated preference data and subsequently incorporating service quality latent variables
would be beneficial.
Practical implications – Identifying the sensitivity of the shippers to various factors influencing
mode selection enables transportation planners make better demand forecast for each mode of
transportation.
Originality/value – This paper extends previous mode choice studies by analyzing mode selection
between air cargo and other modes. Better forecasting is achieved by replacing the logit model with
probit, heteroscedastic extreme value and mixed logit models.
Keywords Air cargo, Discrete choice model, Logit distribution, Mode choice, Probit model,
Revealed preference, Air freight, HEV model
Paper type Research paper
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