Life cycle externalities versus external costs: The case of inland freight transport in Belgium

Arribas, Angel Merchan; Léonard, Angélique; Limbourg, Sabine; Mostert, Martine

doi:10.1016/j.trd.2019.01.017

Cited by 44 publications

(23 citation statements)

References 33 publications

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“…Our results resemble with those reported by Merchan et al (2019). In Belgium, road transport was considered as a reference value of 100 % and the railway transportation lead to a 55% performance in damage to the human health damage to the ecosystem diversity, damage to the resource availability and climate change.…”

Section: Summary Of the Overall Assessmentsupporting

confidence: 88%

“…The ratios of these transport modes in total cumulative energy demand were 35.38%, 15.41%, 10.89%, and 30.53%, respectively. Merchan et al (2019) investigated the inland freight transport in terms of LCA and external costs. The authors indicated that the share of road and railway transport of total greenhouse gas emissions were 17% and 0.09%, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of railway versus highway emissions using LCA approach between the two cities of Middle Anatolia

Bilgili

Kuzu

Çetinkaya

et al. 2019

Sustainable Cities and Society

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Section: Summary Of the Overall Assessmentsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Evaluation of railway versus highway emissions using LCA approach between the two cities of Middle Anatolia

Bilgili

Kuzu

Çetinkaya

et al. 2019

Sustainable Cities and Society

View full text Add to dashboard Cite

“…Finally, as a research outlook, this work could be further developed by considering the impact of other attributes of transport such as quality of service, reliability, accessibility, safety, security, exibility, or environmental impact. Moreover, external costs or externalities could also be integrated, as in the analysis of Merchan et al (2019) for inland freight transport in Belgium. Nevertheless, depicting such developments requires a lot of data.…”

Section: Discussionmentioning

confidence: 99%

Designing unmanned aerial vehicle networks for biological material transportation – The case of Brussels

Dhote

Limbourg

2020

Computers & Industrial Engineering

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Unmanned Aerial Vehicles (UAVs) may solve, or at least reduce, the negative impacts of road transport such as accidents, pollution and congestion. The objective of this paper is to design UAV networks for biomedical material transportation in line with the Drone4Care project. Political, Economic, Social, Technological, Environmental, Legal (PESTEL) analysis provides an overview of the macro-environmental factors that should be considered. To identify the internal and external factors that are favourable and unfavourable to achieve this objective, Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis is also performed. The raised issues are translated into a number of quantiable scenario elements containing the most plausible up-coming events that may impact the future of UAV networks. Four location models are developed and applied to the city of Brussels and its periphery with respect to the associated market in terms of biomedical product ows (blood units or medical samples that are transported between hospitals, laboratories, and blood transfusion centres). In the context of separate case studies of scenario-based analysis, the experiments show that the use of charging stations is useful to extend the mission ranges and to gain market share. The results also show the possibility of gradually implementing the bases without requiring any major changes such as closing a base.

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“…Analysing the relevant literature, it can be noticed that there are numerous studies dealing with sustainable development of transport. In some of these studies the negative environmental impacts are expressed as values of externalities while external cost values are calculated in others [6,7]. Also, it is noticeable that researchers have used different methodology to determine these values.…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of Exhaust Emission Costs in Air and Road Transportation

2019

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In this paper, the calculation of exhaust emission costs originating from aircraft and road vehicles in the base year 2017 and in the forecasting year 2032, in the Republic of Serbia, was carried out. The presented methodology includes a number of influential factors for air transport (airport capacity, number of operations, aircraft type, relevant engine, range) and for road transport (changing of traffic volumes, design and operating speeds, the quality of the pavement structure, type of terrain and category of road sections, dependence of exhaust emission from changes in vehicle speed). It was found that in the current operating conditions, the dominant costs in the total exhaust emission costs are the costs of nitrogen oxides (61%) in road transport, whilst carbon dioxide costs are dominant in air transport (52%). In the future, carbon dioxide costs will have a share of over 80% in the road transport sector and over 58% in the air transport sector in total exhaust emission costs. The average exhaust emission costs per one aircraft operation (international flights) will range from 141 to 145€. In road transport, the average exhaust emission costs at 100 km in 2032 will range from 1.8 to 2.2€.

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Life cycle externalities versus external costs: The case of inland freight transport in Belgium

Cited by 44 publications

References 33 publications

Evaluation of railway versus highway emissions using LCA approach between the two cities of Middle Anatolia

Evaluation of railway versus highway emissions using LCA approach between the two cities of Middle Anatolia

Designing unmanned aerial vehicle networks for biological material transportation – The case of Brussels

Prediction of Exhaust Emission Costs in Air and Road Transportation

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