会议专题

Combination of Linear and Non-Linear Preference Models to Determine Freight Transport Demand

This paper presents methodological advances in the combination of linear and nonlinear or discrete choice preference models. The aim is to enable the estimation of preference models when the number of available observations from decision makers is rather limited, which is very often the case when analyzing the preferences of agents involved in freight transport. We propose a methodology to estimate the factors that determine these preferences, and therefore freight services demand, compare it with other estimation strategies existent in the literature and applied it to data collected using adaptive stated preference techniques from British companies on their preferred mode to move freight. The results of such application show the flexibility introduced by our estimation methodology respect to other approaches in the literature while keeping consistency with the fundamental tenets defining preference modelling.

Logistics Regression Transportation Utility theory

J.Nicolás IBANEZ Tony FOWKES

Institute for Transport Studies,University of Leeds,UK;School of Engineering,Universidad de Sevilla, Institute for Transport Studies,University of Leeds,UK

国际会议

工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

北京

英文

2007-05-30(万方平台首次上网日期,不代表论文的发表时间)