Cost-effectiveness of greenhouse gas mitigation in transport: A review of methodological approaches and their impact

Kok, Robert; Annema, Jan Anne; Wee, Bert van

doi:10.1016/j.enpol.2011.09.023

Cited by 40 publications

(18 citation statements)

References 22 publications

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“…Recently, Russia, in addition to a vehicle replacement policy, encouraged advanced emission control facilities to be installed in most of the newly-acquired energy-efficient vehicles. The policy is, however, least effective due to the relative proportion of old light-duty vehicles [75][76][77]. Furthermore, the Russian government introduced a policy of vehicle inspections and maintenance programs.…”

Section: Climate Change Mitigation and Driving Behaviourmentioning

confidence: 99%

Driving Behaviour and Sustainable Mobility—Policies and Approaches Revisited

et al. 2018

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Climate change is receiving increasing attention in recent years. The transportation sector contributes substantially to increased fuel consumption, greenhouse gas (GHG) emissions, and poor air quality, which imposes a serious respiratory health hazard. Road transport has made a significant contribution to this effect. Consequently, many countries have attempted to mitigate climate change using various strategies. This study analysed and compared the number of policies and other approaches necessary to achieve reduced fuel consumption and carbon emission. Frequency aggregation indicates that the mitigation policies associated with driving behaviours adopted to curtail this consumption and decrease hazardous emissions, as well as a safety enhancement. Furthermore, car-sharing/carpooling was the least investigated approach to establish its influence on mitigation of climate change. Additionally, the influence of such driving behaviours as acceleration/deceleration and the compliance to speed limits on each approach was discussed. Other driving behaviours, such as gear shifting, compliance to traffic laws, choice of route, and idling and braking style, were also discussed. Likewise, the influence of aggression, anxiety, and motivation on driving behaviour of motorists was highlighted. The research determined that driving behaviours can lead to new adaptive driving behaviours and, thus, cause a significant decrease of vehicle fuel consumption and CO 2 emissions.

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Section: Climate Change Mitigation and Driving Behaviourmentioning

confidence: 99%

Driving Behaviour and Sustainable Mobility—Policies and Approaches Revisited

et al. 2018

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“…The methodology used to calculate CO 2 emissions from road transport can broadly be classified into aggregate (topdown) and disaggregate (bottom-up) measures (Garren et al 2011;Kok et al 2011;Li 2011). Our review shows that most studies to date have used the aggregate measures in which CO 2 emissions from road transport are calculated for a geographic area (e.g.…”

Section: Measures Of Co 2 Emissions From Road Transportmentioning

confidence: 99%

Investigating the link between carbon dioxide emissions and transport-related social exclusion in rural Northern Ireland

Kamruzzaman

Hine

Yiğitcanlar

2015

Int. J. Environ. Sci. Technol.

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Carbon dioxide (CO 2 ) is considered the most harmful of the greenhouse gases. Despite policy efforts, transport is the only sector experiencing an increase in the level of CO 2 emissions and thereby possesses a major threat to sustainable development. In contrast, a reduced level of mobility has been associated with an increasing risk of being socially excluded. However, despite being the two key elements in transport policy, little effort has so far been made to investigate the links between CO 2 emissions and social exclusion. This research contributes to this gap by analysing data from 157 weekly activity-travel diaries collected in rural Northern Ireland. CO 2 emission levels were calculated using average speed models for different modes of transport. Regression analyses were then conducted to identify the socio-spatial patterns associated with these CO 2 emissions, mode choice behaviour, and patterns of participation in activities. This research found that despite emitting a higher level of CO 2 , groups in rural areas possess the risk of being socially excluded due to their higher levels of mobility.

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“…Questions as to sustainable development and management in transportation put forward strong challenges to world governments faced with oil resource shortages and environmental deterioration and pollution [2]. Approaches based on supply and demand to tackle energy security and emission reduction in transportation are not generally accepted when thinking of the advantages and disadvantages of technology acquisition and energy savings when referring to the issues in question in this sector [3][4][5]. Energy consumption is influenced not only by technological efficiency, but also by life style and socio-cultural factors that often appear as unrelated factors within the modeling analysis when energy consumption issues are studied [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Demand Forecast of Petroleum Product Consumption in the Chinese Transportation Industry

Chai

Wang

et al. 2012

Energies

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Abstract:In this paper, petroleum product (mainly petrol and diesel) consumption in the transportation sector of China is analyzed. This was based on the Bayesian linear regression theory and Markov Chain Monte Carlo method (MCMC), establishing a demand-forecast model of petrol and diesel consumption introduced into the analytical framework with explanatory variables of urbanization level, per capita GDP, turnover of passengers (freight) in aggregate (TPA, TFA), and civilian vehicle number (CVN) and explained variables of petrol and diesel consumption. Furthermore, we forecast the future consumer demand for oil products during "The 12th Five Year Plan" (2011)(2012)(2013)(2014)(2015) based on the historical data covering from 1985 to 2009, finding that urbanization is the most sensitive factor, with a strong marginal effect on petrol and diesel consumption in this sector. From the viewpoint of prediction interval value, urbanization expresses the lower limit of the predicted results, and CVN the upper limit of the predicted results. Predicted value from other independent variables is in the range of predicted values which display a validation range and reference standard being much more credible for policy makers. Finally, a comparison between the predicted results from autoregressive integrated moving average models (ARIMA) and others is made to assess our task. OPEN ACCESSEnergies 2012, 5 578

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Cost-effectiveness of greenhouse gas mitigation in transport: A review of methodological approaches and their impact

Cited by 40 publications

References 22 publications

Driving Behaviour and Sustainable Mobility—Policies and Approaches Revisited

Driving Behaviour and Sustainable Mobility—Policies and Approaches Revisited

Investigating the link between carbon dioxide emissions and transport-related social exclusion in rural Northern Ireland

Demand Forecast of Petroleum Product Consumption in the Chinese Transportation Industry

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