Application of MDCEV to infrastructure planning in regional freight transport

Tapia, Rodrigo Javier; Jong, Gerard de; Larrañaga, Ana Margarita; Cybis, Helena Beatriz Bettella

doi:10.1016/j.tra.2020.01.016

Cited by 12 publications

(4 citation statements)

References 54 publications

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“…Results signify that intermodal inland road/rail routes could prove better alternative than the maritime routes for better supply chain efficiency between Chin and Europe through efficient Transport infrastructure investments. Multiple discrete extreme value model was deployed to evaluate rail infrastructure investment impact on society in Argentina [19]. Environmental benefit is a key output desired in transport infrastructure investment as discussed in [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Transport Infrastructure Investment: A Comparative Analysis between China, Russia and India

Bangaraju

Aneja

Mishra

2022

IOP Conf. Ser.: Earth Environ. Sci.

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China, Russia and India, three major members of BRICS, share a strong trade relationship in over a duration of time. These countries have shown remarkable growth in various sectors overtaking EU and North American countries. Infrastructure investment is a crucial factor to give a momentum to progress of any country. This study attempts to understand the long run and short run effect of total inland infrastructure investment on freight growth in the said countries. In this study, Autoregressive Distributed Lag [ARDL] bounds testing approach was used to examine the impact of total inland transport infrastructure investment on total inland freight transport in the emerging economies, viz. China, Russia and India. Results indicate that China has higher positive affect of inland infrastructure investment on freight growth rate in the short run while India has higher positive affect in long run. Russia, owing to lower population, trade and industrialization growth showed to have lower freight growth in both short run and long run.

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Section: Literature Reviewmentioning

confidence: 99%

Transport Infrastructure Investment: A Comparative Analysis between China, Russia and India

Bangaraju

Aneja

Mishra

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Ref. [13] used Stated and Revealed preference data to model and assess the social impacts of rail infrastructure investments in Argentina by considering the Free Alongside Ship price, freight transport cost, travel time, and lead time as relevant variables to estimate non-deterministic willingness to pay measures for a cost-benefit analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a Geo-Strategic Railway Freight Network in Brazil Using GIS

2020

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The sustainable development of geo-strategic transport networks plays a key role to meet the current expansion of the demand for commerce and economic growth. In this paper, a new geo-strategic railway network for freight services is designed with the purpose of meeting the needs of current and future demands for freight transport in the state of Santa Catarina, South Brazil. The freight flows of bulk cargo, containers, and refrigerated and liquid cargo observed in 2005 and 2015 and expected for 2023 have been analyzed and assigned to a fully connected railway network. The number of trains to meet all the demands has been identified. The links that would have a minimum number of daily trains running on them have also been identified and analyzed. New assignments are proposed and visualized using GIS. Next, location and technical specifications of specialized intermodal terminals focused on the customers’ and operators’ needs are discussed. The study shows that technological specifications for terminal operations play an important role when dealing with multiple freight types and contribute to better use of the existing infrastructure.

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“…Tang et al [6] offered an approach to improve the MNL model's use to predict shipping companies' port choice by integrating a transport network attributes into the choice explanatory variables. Tapia et al [7] perform an advanced discrete choice model, a Multiple Discrete Extreme Value Model (MDCEV), to estimate the mode and port choice in Argentina and further use the model to evaluate impact of rail transport investment.…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic Model of Container Port Demand in Java Concerning the Port Hinterland Connectivity

Hidayati

Jong

Whiteing

et al. 2022

Proceedings of the 5th International Conference on Rehabilitation and Maintenance in Civil Engineering

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The port demand could be modelled from the port choice of the ports' actors. From the actors' perspectives, factors influencing port choice do not solely depend on the port performance itself. As a port is an interchange location of land and sea transport, the port selection is closely associated with the inland mode choice. This study applies a multinomial logit (MNL) model to predict the probability of a joint port and inland mode choice in Java, Indonesia. Six factors classified into port performance and port hinterland connectivity are applied to estimate the probability of port demand. The model also allows us to estimates the port hinterland boundaries as a corollary of port choice made by the actors. Further from the simulation on several transport strategies, introducing Patimban port as a new container port in Java greatly affects the adjacent port demand. Reducing rail transport time and improving port performance also leads to substantial port and mode shifting for container transport in Java.

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Application of MDCEV to infrastructure planning in regional freight transport

Cited by 12 publications

References 54 publications

Transport Infrastructure Investment: A Comparative Analysis between China, Russia and India

Transport Infrastructure Investment: A Comparative Analysis between China, Russia and India

Designing a Geo-Strategic Railway Freight Network in Brazil Using GIS

A Probabilistic Model of Container Port Demand in Java Concerning the Port Hinterland Connectivity

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