TY - JOUR
T1 - Review of discrete-continuous models in energy and transportation
AU - Derakhshan, Ahmad
AU - Khademi, Alireza
AU - Khademi, Shahab
AU - Yusof, Noordin Mohd
AU - Lee, Muhammad Hisyam
N1 - Publisher Copyright:
© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
PY - 2015
Y1 - 2015
N2 - Demand modelling of energy and transport incorporate interconnected decision variables, which are either discrete or continuous. After forty years, from McFadden multinomial logit model and incorporating it to Heckman endogenous simultaneous equation, there is an opportunity to determine the parameters of interconnected decisions simultaneously. These models are bounded by the utility theory. Now these models have matured, and their empirical aspects revealed. In this study, the pioneering works on discrete-continuous models that have been developed in the field of energy and transportation have been reviewed with a view of proposing new development to these models. These models theoretically are based on two approaches; McFadden indirect utility function and Gorman polar functional form of utility structures. In both approaches, the models are estimated by maximum likelihood procedures.
AB - Demand modelling of energy and transport incorporate interconnected decision variables, which are either discrete or continuous. After forty years, from McFadden multinomial logit model and incorporating it to Heckman endogenous simultaneous equation, there is an opportunity to determine the parameters of interconnected decisions simultaneously. These models are bounded by the utility theory. Now these models have matured, and their empirical aspects revealed. In this study, the pioneering works on discrete-continuous models that have been developed in the field of energy and transportation have been reviewed with a view of proposing new development to these models. These models theoretically are based on two approaches; McFadden indirect utility function and Gorman polar functional form of utility structures. In both approaches, the models are estimated by maximum likelihood procedures.
KW - Discrete-continuous model
KW - Energy consumption modeling
KW - Freight transport modeling
KW - Indirect utility
KW - Switching regression
UR - http://www.scopus.com/inward/record.url?scp=84939644615&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2014.07.053
DO - 10.1016/j.procir.2014.07.053
M3 - Conference article
AN - SCOPUS:84939644615
SN - 2212-8271
VL - 26
SP - 281
EP - 286
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 12th Global Conference on Sustainable Manufacturing, GCSM 2014
Y2 - 22 September 2014 through 24 September 2014
ER -