Incorporating Logistics in Freight Transport Demand Models: State-of-the-Art and Research Opportunities

Tavasszy, Lóránt; Ruijgrok, Kees; Davydenko, Igor

doi:10.1080/01441647.2011.644640

Cited by 91 publications

(63 citation statements)

References 36 publications

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“…Freight transport demand is derived from decisions in production location, sourcing, marketing, sales, warehousing and transportation management (Tavasszy, Ruijgrok, & Davydenko, 2012). Costs of trade have decreased as Government regulations have improved along with information and communication technology.…”

Section: The Intermodal Frameworkmentioning

confidence: 99%

Building an Intermodal Logistics Network: Bridging the Gaps in Communication and Technology

Guilbault¹

2016

JMS

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This paper delves into the global logistics market with an eye on technological advancements and the future of the industry. Expanding across all modes of transportation, a review of historical progress and current market situations reveals what lies ahead for the industry and what obstacles exist moving forward. A proposed network solution is examined via a case study involving two international logistics providers as a means of exploring potential resolutions to existing and forthcoming challenges in the industry. The proposal focuses on an intermodal logistics model that integrates all modes of transportation into a centralized network accessible by both users and suppliers, alike. Across a global landscape, this study outlines the lack of communication and information sharing that adversely affects the industry's ability to keep pace from a technological perspective.

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Section: The Intermodal Frameworkmentioning

confidence: 99%

Building an Intermodal Logistics Network: Bridging the Gaps in Communication and Technology

Guilbault¹

2016

JMS

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“…Some examples can be found in the British EUNET, the Dutch SMILE or in the Spatial Logistics Appended Module (SLAM) realized in the European model SCENES. The national transport model system implemented in Sweden and Norway (SAMGODS and NEMO) represent prime examples in this domain [43].…”

Section: Overview Of Freight Transport Demand Modelsmentioning

confidence: 99%

“…Accordingly, SLAM ought to give a more accurate picture of transport flows involving logistical matters. The model considers changes in distribution structures (e.g., number and location of utilized intermediate warehouses for distribution) and incorporates them into the distribution flows [11, 16,43].…”

Section: Overview Of Freight Transport Demand Modelsmentioning

confidence: 99%

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Consideration of transport logistics hubs in freight transport demand models

Huber

Klauenberg

Thaller

2015

Eur. Transp. Res. Rev.

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Introduction The increasing importance of logistics and its effects on transportation processes have been considered in freight transport demand modelling by new model developments incorporating several logistics aspects. However, transport logistics hubs -hubs without storage function that are primarily used for transhipment -seem to be not considered adequately in most freight models although they are crucial for freight transport. Currently it is not apparent which models do consider transport logistics hubs and how they do. The aim of this article is, therefore, to review how transport logistics hubs are considered in freight transport demand models and to discuss remaining gaps and challenges. Methods Based on an extensive literature review a broad and internationally oriented analysis of transport models has been conducted. More than 100 models were examined regarding their consideration of logistics in general and transport logistics hubs in particular. Results The article points out the major importance of transport logistics hubs within freight transport and, thus, underpins the fact that they should also be considered sufficiently in freight demand models. It reveals that there are numerous models in application worldwide and that most of these models do not consider logistics or hubs. Only few models integrate logistics hubs, in general, and transport logistics hubs in particular. Furthermore, the consideration of transport logistics hubs within these models differs quantitatively (number and types of hubs) but also qualitatively (detail of hub integration) -also depending on model properties (e.g., scale of analysis, resolution or level of aggregation). Conclusions Within freight transport processes, transport logistics hubs gained growing empirical significance in the recent past. This implies a major relevance to consider them in demand modelling, too. However, the article reveals that the integration of transport logistics hubs lags behind their empirical significance and that there are certain restrictions which hamper an adequate integration. The potential of many models is limited by reason of data availability. The lack of detailed data remains a major challenge that is, frankly, not new to the freight modelling community. Closing this data gap will help to consider transport hubs adequately and, thus, increase accuracy of models which would enable policy decision-makers to come to more effective decisions.

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“…For a discussion on the microeconomics and econometrics of the shipment size choice, and more generally on the introduction of logistical principles in freight transport modelling, see e.g. [6,7] Third, carriers optimise their productivity by grouping shipments whenever possible. Assigning shipments to vehicles so as to maximise the average loading factor of those vehicles is known to be a complex problem of operations research (the bin-packing problem), and it has a complex impact on the prices of freight transport [8,9].…”

Section: Introductionmentioning

confidence: 99%

Improving road-side surveys for a better knowledge of road freight transport

Combes

Leurent

2012

Eur. Transp. Res. Rev.

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Purpose The focus of this paper is to enhance our observation and knowledge of interurban road freight transport. It explores some possibilities for improving roadside freight surveys, usually used to gather origindestination data. Methodology To achieve this, new questions are added to a standard roadside survey form, and the enhanced survey form is tested through two surveys. The new questions relate to currently unobserved variables: the vehicle volume occupied by freight; the method of organisation (double crew, relays) used by the carriers; the existence of specific logistical imperatives; and drivers' compulsory breaks. Results The questions on volume constraint and carrier organisation prove to be the most informative. These two questions are thus two promising areas for improvement in roadside freight surveys. The questions about specific logistical imperatives and driver breaks prove less fruitful. Conclusion The paper concludes that it is possible, through minor modifications in data collection protocols, to significantly enhance observation quality in road freight transport activity.

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Incorporating Logistics in Freight Transport Demand Models: State-of-the-Art and Research Opportunities

Cited by 91 publications

References 36 publications

Building an Intermodal Logistics Network: Bridging the Gaps in Communication and Technology

Building an Intermodal Logistics Network: Bridging the Gaps in Communication and Technology

Consideration of transport logistics hubs in freight transport demand models

Improving road-side surveys for a better knowledge of road freight transport

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