Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model

被引:91
作者
Reis, Vasco [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Ctr Urban & Reg Syst, P-1699 Lisbon, Portugal
关键词
Mode choice; Short distance; Intermodal transport; Freight; Agent-based modelling; RELATIVE IMPORTANCE; DEMAND MODELS; SERVICE; DETERMINANTS; LOGISTICS; SHIFT; COST; ROAD;
D O I
10.1016/j.tra.2014.01.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Medium to long-distance intermodal transport has been strongly promoted by the European Commission and national governments as a solution for ensuring the sustainability of the freight transport sector. However, so far, intermodal transport has revealed limited capacity for competing against road transport. New solutions aimed at expanding the limits of its competitiveness are needed. Some successful cases of short-distance intermodal transport reveal untapped market opportunities. The literature on mode choice fails to explain these successes. The research has focused mainly on long-distance services, and the findings are not necessarily transferable to the short-distance transport. This paper presents the results of research aimed at testing this assumption. A new agent-based model to simulate the transport operations and behavioural reactions of transport agents was developed, applying mode choice variables that are consensually referred to as pivotal in the mode choice process: price, transit time, reliability and flexibility. The use of the model was to ascertain the performance of competing transport modes (intermodal and road) under different demand scenarios. Applications of the model to a short-distance transport service show that only price could explain the Freight Forwarder choice for intermodality. The evidence produced by this research suggests that the mode choice process for short-distance transport services may be governed by other decision variables and that current intermodality-oriented policy options should be revised, as they exclude a potential market segment. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:100 / 120
页数:21
相关论文
共 79 条
[1]  
[Anonymous], 1990, The gravity model in transportation analysis: theory and extensions
[2]  
[Anonymous], 2009, Transportation systems analysis: models and applications
[3]  
[Anonymous], 2007, Managing business complexity: Discovering strategic solutions with agent-based modeling and simulation
[4]  
[Anonymous], 2009, The Economist
[5]  
Asariotis R, 1999, TRANSPORT Q, V53, P45
[6]  
Axtell R.L., 2000, Why Agents? On the Varied Motivations for Agent Computing in the Social Sciences - Working Paper 17
[7]   An agent based model concept for assessing modal share in inter-regional freight transport markets [J].
Baindur, Deepak ;
Viegas, Jose Manuel .
JOURNAL OF TRANSPORT GEOGRAPHY, 2011, 19 (06) :1093-1105
[8]  
Ben-Akiva M. E., 1985, Discrete choice analysis: Theory and application to travel demand, V9
[9]  
Ben-Akiva M, 2013, FREIGHT TRANSPORT MODELLING, P69
[10]  
BenAkiva M, 2013, FREIGHT TRANSPORT MODELLING, P1