作者: Lóránt A. Tavasszy , Kees Ruijgrok , Igor Davydenko
DOI: 10.1080/01441647.2011.644640
关键词: Operations research 、 Conceptual framework 、 Computable general equilibrium 、 Supply chain 、 Consumption (economics) 、 Economics 、 Supply chain management 、 Cost driver 、 Transport engineering 、 Traffic management 、 Service (economics)
摘要: Freight transport demand is a derived from all the activities needed to move goods between locations of production consumption, including trade, logistics and transportation. A good representation in freight models allows us predict effects changes systems on future flows. As such it provides better estimations costs interaction spatial patterns flows more accurately. In recent years, attention for modelling has been growing new research work appeared aimed at incorporating models. this paper we review state art considerations Our focus service cost drivers networks how these affect transport. proceeds along conceptual framework that goes beyond conventional 4-step approach. We identify promising areas have an integrative function within framework, as computable general equilibrium models, supply chain choice hypernetwork © 2012 Copyright Taylor Francis Group, LLC.