Modelling transport emissions in an uncertain future: What actions make a difference?

Craglia, Matteo Alexander McConnochie; Cullen, Jonathan M.

doi:10.1016/j.trd.2020.102614

Cited by 18 publications

(14 citation statements)

References 45 publications

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“…The left panel represents the cumulative share by number of trips, while in the right one the computation is based on the total pkm. The charts highlight the uneven distribution of transport modes by distance, which is in line with similar representations for other countries [40]. While active modes are naturally more frequent on short distances, the opposite is true for rail (which includes train, trams, and metro).…”

Section: Commuting Mobility Demandsupporting

confidence: 78%

“…Although the most detailed and up-to-date information has been used, uncertainties remain when projecting future values. In particular, the 2030 vehicle stock has been defined based on the most updated targets that are available, but actual figures may prove to be somewhat different in the future [40]. The most important aspects include the average size of future cars (given the rising importance of sport utility vehicles in the last years), the actual rates of EVs deployment as well as the driving habits of users.…”

Section: Discussionmentioning

confidence: 99%

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Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region

Noussan¹,

Jarre²

2021

Energies

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Effective solutions are needed to decrease the greenhouse gases emissions of the transport sector, not only in terms of supply-side measures, but also including demand-side solutions. This paper focuses on the passenger demand related to daily commuting, either for work or study purposes. A bottom-up analysis is presented, which draws from detailed data for Lombardy, the most populous region in Northern Italy, to build an estimate of the annual energy consumption and emissions related to commuting. The potential of different measures to decrease emissions is evaluated, including the renovation of the vehicle stock, higher levels of remote working, and the deployment of carpooling schemes. The results show that the largest part of the current emissions from commuting is caused by car use, both due to its higher modal share and to the higher specific emissions, which are in turn also contributed by the low occupancy rates. The renewal of the current vehicle stock can lead to significant emission savings, thanks to both improved efficiency and higher shares of electrification. Remote working could also play a significant part, especially when it is applied to workers that face the longest commuting distances. Conversely, carpooling seems to be providing lower benefits, not so much because of lower effectiveness but more so because of constraints and barriers to its implementation.

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Section: Commuting Mobility Demandsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region

Noussan¹,

Jarre²

2021

Energies

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“…An overview of the specifications and parameters of the vehicles used for road freight transport is shown in Table 1. 13. What are the other restrictive conditions or limitations for transport?…”

Section: Conflicts Of Interestmentioning

confidence: 99%

“…Nowa- Matthias et al [12] focus on modelling road transport emissions in Germany until 2040 for the sustainable development of transport. Craglia and Cullen [13] deal with modeling transport emissions in Great Britain. Each country must ensure the sustainability of transport.…”

Section: Introductionmentioning

confidence: 99%

“…Sustainability 2021, 13, x FOR PEER REVIEW 3 of 28 days, there are three main approaches to measuring energy consumption and produced emissions-Well-to-Wheel (hereinafter also referred to as WtW), Well-to-Tank (hereinafter also referred to as WtT), and Tank-to-Wheel (hereinafter also referred to as TtW):  Well-to-Wheel (total Well-to-Tank together with Tank-to-Wheel): An approach based on the monitoring of energy consumption and associated emissions production that covers the whole process from the generation of electricity or fuel, through the supply to the appropriate transport means through the distribution network, to the consumption associated with the operation of the means of transport. This approach is based on the sum of Tank-to-Wheel and Well-to-Tank values (Figure 2) [16].…”

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confidence: 99%

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Framework for Greenhouse Gas Emissions Calculations in the Context of Road Freight Transport for the Automotive Industry

et al. 2021

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The topic of greenhouse gas emissions calculations in the context of freight transport is very current. This topic is very interesting for many stakeholders, such as companies, suppliers, employees, customers, residents, etc. The automotive industry is a major producer of greenhouse gas emissions from logistic processes. Due to this fact, it is necessary to search for and create frameworks for the calculation of greenhouse gas emissions in this sector. The requirements for the calculation of greenhouse gas emissions from road freight transport in the automotive industry were identified using semi-structured interviews. Available emission freight calculators were analyzed using the content and comparative analysis. The proposed frameworks for greenhouse gas emissions calculations in the context of road freight transport of material and finished manufactured passenger cars for the automotive industry were applied in the form of an interpretative case study. The main result of the article is the proposal of the frameworks for greenhouse gas (carbon and sulfur dioxide) emissions calculations in the context of road freight transport of the material and finished manufactured passenger cars for the automotive industry. The proposed frameworks were applied and verified. The use of the proposed frameworks can be expected in logistic planning and decision-making.

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Impact assessment of future fleet compositions in vehicle emissions in urban areas: A methodological framework and a case study

Nisyrios,

Soares Amorim,

Cantelmo

et al. 2024

Case Studies on Transport Policy

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Modelling transport emissions in an uncertain future: What actions make a difference?

Cited by 18 publications

References 45 publications

Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region

Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region

Framework for Greenhouse Gas Emissions Calculations in the Context of Road Freight Transport for the Automotive Industry

Impact assessment of future fleet compositions in vehicle emissions in urban areas: A methodological framework and a case study

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