Freight mode choice and adaptive stated preferences

Shinghal, Nalin; Fowkes, Tony

doi:10.1016/s1366-5545(02)00012-1

Cited by 128 publications

(59 citation statements)

References 1 publication

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“…The finding supported the finding of Shinghal, & Fowkes, T., (2002) that found out frequency of service is an important attribute determining mode choice.…”

Section: The Effect Of Product To Freight Forwarder Choicesupporting

confidence: 87%

Product, Price, Distribution and Promotion as Determinants of Freight Forwarder Choice

2017

International Journal of Managerial Studies and Research

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“…The finding supported the finding of Shinghal, & Fowkes, T., (2002) that found out frequency of service is an important attribute determining mode choice.…”

Section: The Effect Of Product To Freight Forwarder Choicesupporting

confidence: 87%

Product, Price, Distribution and Promotion as Determinants of Freight Forwarder Choice

2017

International Journal of Managerial Studies and Research

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“…Finally, some additional objectives are hard to be translated precisely to cost, such as sustainability or flexibility of the transport link. Shinghal and Fowkes (2002) gives an overview and empirical determination of those factors.…”

Section: Problem Statementmentioning

confidence: 99%

Equilibrium models in multimodal container transport systems

2015

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Optimizing the performance of multimodal freight transport networks involves adequately balancing the interplay between costs, volumes, times of departure and arrival, and times of travel. In order to study this interplay, we propose an assignment model that is able to efficiently determine flows and costs in a multimodal network. The model is based on a so-called user equilibrium principle, which is at the basis of Dynamic Traffic Assignment problems. This principle takes into account transport demands to be shipped using vehicles that transport single freight units (such as trucks) or multiple freight units (such as trains and barges, where demand should be bundled to reach efficient operations). Given a particular demand, the proposed model provides an assignment of the demand over the available modes of transport. The outcome of the model, i.e., the equilibrium point, minimizes users' generalized costs, expressed as a function of mode, travel time and related congestion, and waiting time for bundling sufficient demand in order to fill a vehicle. The model deals with these issues across a doubly-dynamic time scale and in an integrated manner. One dynamic involves a learning dynamic converging towards an equilibrium (day-to-day) situation, reflecting the reaction of the players towards the action of the others. Another dynamic considers the possible departure time that results in minimum expected costs, also due to the fact that players mutually influence each other on the choice of departure times, due to congestion effects and costs for early/late arrival of freight units. This is a choice within a given time horizon such as a day or a week. We present a study on the influence and sensitivity of different model parameters, in order to analyse the implications on strategic decisions, fostering a target modal share for freight transportation. We also study under which conditions the different modes can be substitutes for each other.

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“…In the international context from the perspectives of shippers and service providers, there has been increasing attention on freight mode choice and the identification of factors influencing the 11,12,13,14 . Research suggests there has been an increasing demand for reliability rather than other freight service attributes such as price and transit time 15 .…”

Section: Research Backgroundmentioning

confidence: 99%

Punctuality Improvement in Australian Rail Freight Network by Transit Time Management

Ghaderi

Namazi-Rad²,

Mokhtarian³

et al. 2014

Proceedings of the International Symposium for Next Generation Infrastructure

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With rapid development in product globalization and just-in-time production over the last two decades, area-specific reliable, responsive and customeroriented rail freight services are in demand and are of increasing interest. Having a proper understanding of underlying factors in the evaluation of the quality of rail freight services is a key challenge in the short-term and long-term regional and metropolitan freight mobility planning, particularly within the context of a competitive rail freight market as in Australia. Among the fundamental attributes of rail freight services, transit time and reliability/punctuality are of utmost importance, which also tend to be inevitably correlated. This paper discusses the potential opportunities for service improvement in the Australian non-bulk interstate network through managing the underlying factors. The paper also addresses the conditions under which these factors can be combined to enhance the utilisation and efficiency of rail freight services in the national rail infrastructure.

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Freight mode choice and adaptive stated preferences

Abstract: Abstract

Cited by 128 publications

References 1 publication

Product, Price, Distribution and Promotion as Determinants of Freight Forwarder Choice

Product, Price, Distribution and Promotion as Determinants of Freight Forwarder Choice

Equilibrium models in multimodal container transport systems

Punctuality Improvement in Australian Rail Freight Network by Transit Time Management

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