作者: Elnaz Irannezhad , Carlo G. Prato , Mark Hickman , Afshin Shariat Mohaymany
DOI: 10.3141/2610-10
关键词: Operations research 、 Level of service 、 Variables 、 Transport engineering 、 Utility maximization 、 Continuous modelling 、 Vehicle type 、 Copula (probability theory) 、 Economics
摘要: A major issue in freight modeling is the interrelationship between logistics choices that can be seen as a learning process shippers or carriers undertake to optimize their process, with aim of minimizing cost, maximizing level service, both. This study looked at interrelated decisions vehicle type choice and shipment size urban transportation by formulating model considered (a) nature these two dependent variables via joint discrete–continuous model, (b) correlation copula-based approach, (c) differences decision making estimation models, (d) relaxation assumption pure utility maximization hybrid utility–regret specification. Results show shippers’ carriers’ preferences. These were logical because many owned an efficient fleet commercial vehicles, whereas evaluat...