An empirical study of the variability in the composition of British freight trains

Woodburn, Allan

doi:10.1016/j.jrtpm.2015.12.001

Cited by 12 publications

(7 citation statements)

References 13 publications

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“…Woodburn [39] investigated variability in number of wagons in a freight train of particular category or origin-destination pair. His survey was based on a sample of almost 3,000 individual freight trains, with analysis at four levels of disaggregation, from the commodity groupings used in official statistics down to individual services.…”

Section: Problem Of a Sample Freight Train For Pftpsmentioning

confidence: 99%

Construction of Differentiated Periodic Freight Train Paths in Dense Mixed Traffic

Drábek¹,

Janoš²

2021

Preprint

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The article is focused on detailed framework process for hierarchized construction of periodic freight train paths (PFTPs) – allocation of pre-arranged railway capacity to freight rail operators. The framework process considers fluctuations in demand for capacity from freight rail opera-tors, so the quality of a freight train path is related with its construction priority. Introduced framework process aims to offer freight rail operators attractive train paths, with low number of scheduled stops, and this way enhance competitiveness and decrease energy consumption of freight railway as a factor for sustainable development. The proposed generic process is in-tended for all time horizons of capacity allocation. Correctness of the framework process is tested on the example of mainline Prague – Dresden, in the context of prospective (denser) mod-el passenger timetable.

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Section: Problem Of a Sample Freight Train For Pftpsmentioning

confidence: 99%

Construction of Differentiated Periodic Freight Train Paths in Dense Mixed Traffic

Drábek¹,

Janoš²

2021

Preprint

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“…The study explores the paradigm of connecting hinterland through port based multimodal logistics deployment via published research work s as part of the literature and identify associative affairs detailing integration with a view so as to recognize the procedure prior to integration [35]. For the achievement of the objective to ensure hinterland connectivity, it is important to analyze the aspect of "what gets transported by roads", which is contributing to the high transportation cost as compared to other modes of transport [3].…”

Section: Literature Reviewmentioning

confidence: 99%

An Algorithmic Approach for Maritime Transportation

Pinakpani¹,

Polisetty²,

Bhaskar³

et al. 2020

IJACSA

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Starting from the 3rd millennium BC, Indian maritime trade has augmented the life of a common man and businesses alike. This study, finds that India can leverage on the 7,500 long coast line and derive holistic development in terms of interconnected ports with hinterland connectivity and realize lower expenditure coupled with reduced carbon emission. This research analyzed a decade of cargo data from origination to destination and found that around 82.95 per cent (953 MMTPA in 2017-18) of road based consignments in India comprised of Fertilizers, Hydrocarbons, Coal, Lubricants and Oil. Essentially, a quantum of this i.e. 78.39 per cent of MMTPA cargo consignments (State Owned Hydrocarbons) traverses on Indian roads. The study drew parameters of this transportation paradigm and modeled the same using Artificial Intelligence to depict a monumental opportunity to rationalize costs, improve efficiency and reduce carbon emission to strengthen the argument for the employment of Multimodal Logistics in the Maritime Sector. Subsequent to model derivation the same set of parameters are plotted as an efficient transit map of Interstate transit lines connecting 16 major hubs which now handle bulk cargo shipped by all modes of transport. For the pollution segment a collaborative game theoretic approach i.e., Shapley value is proposed for improved decision making. This study presents data driven and compelling research evidence to portray the benefits of collaboration between firms in terms of time and cost. The study also proposes the need and method to improve hinterland connectivity using a scalable greedy algorithm which is tested with real time data of Coal and Bulk Cargo. As a scientific value addition, this study presents a mathematical model that can be implemented across geographies seamlessly using Information Communication Technology.

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“…The fact that severe, disruptive weather events are likely to become more frequent, and that it is impractical to prevent all instances of major network disruption from occurring, adds urgency to the implementation of recommendations to increase resilience and minimise the implications for rail freight and associated supply chain activity. Using an approach adopted in previous research (see Woodburn, 2015), train composition information for additional trains was gathered from reliable online sources n = 134 (16% of freight trains diverted during the period of the line closure)…”

Section: Wider Implications Of the Research Findingsmentioning

confidence: 99%

Rail network resilience and operational responsiveness during unplanned disruption: A rail freight case study

Woodburn

2019

Journal of Transport Geography

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This paper focuses on the resilience of rail freight operations when affected by extreme weather events. Such events, most likely linked to climate change, are becoming more common and it is vital to mitigate their effects on freight transport activity. Based on a British case study of rail network disruption resulting from a key line closure in early-2016, the analysis considers the impacts on rail freight service provision and the wider supply chains.Following a review of the relevant literature, the case study is analysed using data from a combination of sources including an annual rail freight database, open access real-time train running data, observation surveys and stakeholder interviews. This reveals widespread consequences of the disruption, with fewer freight trains operated than normal, and longer and less punctual journeys for those which ran. However, despite the considerable disruption during the period of the line closure itself, there has been no discernible long-term impact on the rail freight flows which were impacted by the closure. The insight provided by the analysis is used to make a series of recommendations to the rail industry and policy makers.

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An empirical study of the variability in the composition of British freight trains

Cited by 12 publications

References 13 publications

Construction of Differentiated Periodic Freight Train Paths in Dense Mixed Traffic

Construction of Differentiated Periodic Freight Train Paths in Dense Mixed Traffic

An Algorithmic Approach for Maritime Transportation

Rail network resilience and operational responsiveness during unplanned disruption: A rail freight case study

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