Trends of greenhouse gas emissions from the road transport sector in India

Singh, Anil Kumar; Gangopadhyay, S; Nanda, Pradipta Kumar; Bhattacharya, Subhamoy; Sharma, C.; Bhan, Chandra

doi:10.1016/j.scitotenv.2007.09.027

Cited by 102 publications

(28 citation statements)

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“…Among the advantages offered by the roadway subsystem, Bowersox et al (2006) and Sadjady (2011) highlight the flexibility and versatility, as well as Singh et al (2008) also emphasize aspects such as reliability and adaptability. The character flexibility of this mode directly affects the two main points inherent in the start and the end point of the logistics freight management, i.e.…”

Section: Roadway Subsystemmentioning

confidence: 99%

Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis

Peixoto

Mendonça

Musetti

et al. 2017

Prod.

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This paper aimed to verify if terminals with productive efficiency also have pure technical efficiency, using DEA (Data Envelopment Analysis) technique. The research approach was the qualitative-quantitative or mixed, with exploratory purpose; the research method defined was the case study (multicases); data were collected through interviews using a structured questionnaire and non-probability for convenience sampling. While the application of Charnes, Cooper and Rhodes (CCR) model observed that only three (4, 7 and 11), of the twelve analyzed Decision Making Units (DMUs) have total technical efficiency, through Banker, Charnes and Cooper (BCC) model, it was possible to observe that these terminals were the only ones with pure technical efficiency. The three inefficient DMUs (1, 2 and 12) showed pure technical efficiency, suggesting that these terminals might present probable scale operations' inefficiency, aspect not addressed in this paper.

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Section: Roadway Subsystemmentioning

confidence: 99%

Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis

Peixoto

Mendonça

Musetti

et al. 2017

Prod.

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“…Decision-makers can obtain more precise information about different kinds of vehicles, which is useful in measuring the contribution rates of policies, projects, and different scenarios. For example, in the United States and some European countries, emissions from the transportation industry were estimated according to the operating conditions of vehicles, and vehicle pollutant emission factors were measured and released to national vehicle emission inventories [11][12][13][14]. The estimation approach can be deemed as a bottom-up approach.…”

Section: Vehicle Emission Evaluationmentioning

confidence: 99%

Inventory and Policy Reduction Potential of Greenhouse Gas and Pollutant Emissions of Road Transportation Industry in China

Bao

et al. 2016

Sustainability

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Abstract:In recent years, emissions from the road transportation industry in China have been increasing rapidly. To evaluate the reduction potential of greenhouse gas and pollutant emissions of the industry in China, its emission inventory was calculated and scenario analysis was created for the period between 2012 and 2030 in this paper. Based on the Long-range Energy Alternatives Planning System (LEAP) model, the development of China's road transportation industry in two scenarios (the business-as-usual (BAU) scenario and the comprehensive-mitigation (CM) scenario) was simulated. In the Comprehensive Mitigation scenario, there are nine various measures which include Fuel Economy Standards, Auto Emission Standards, Energy-saving Technology, Tax Policy, Eco-driving, Logistics Informatization, Vehicle Liquidation, Electric Vehicles, and Alternative Fuels. The cumulative energy and emission reductions of these specific measures were evaluated. Our results demonstrate that China's road transportation produced 881 million metric tons of CO 2 and emitted 1420 thousand tons of CO, 2150 thousand tons of NO x , 148 thousand tons of PM 10 , and 745 thousand tons of HC in 2012. The reduction potential is quite large, and road freight transportation is the key mitigation subsector, accounting for 85%-92% of the total emission. For energy conservation and carbon emission mitigation, logistics informatization is the most effective method, potentially reducing 1.80 billion tons of coal equivalent and 3.83 billion tons of CO 2 from 2012 to 2030. In terms of air pollutant emission mitigation, the auto emission standards measure performs best with respect to NO x , PM 10 , and HC emission mitigation, and logistic informatization measure is the best in CO emission reduction. In order to maximize the mitigation potential of China's road transportation industry, the government needs to implement various measures in a timely and strict fashion.

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“…However, quantitative estimation and treatment of uncertainties might be highly time-consuming and far from trivial due to the complexity of emission projection systems (van Sluijs, 1996). Different emission inventory and emission projection studies have considered quantitative analyses of uncertainty (Rypdal, 2002;Schöpp et al, 2005;Webster et al, 2002) but in many cases are applied to a specific sector or in a fragmented way (Frey and Zheng, 2002;Heath and James, 2000;Kioutsioukis et al, 2004;Panis et al, 2004;Jong et al, 2007;Sangil et al, 2014;Singh et al, 2008). Moreover, a peer review team that analyzed a European Integrated Assessment Model (Commission of the European Communities [CEC], 2004) concluded that such traditional statistical analyses, although important, may be of limited value in a policy context if not considered in relation to other uncertainties, such as uncertainties due to biases in model formulation, lack of scientific understanding, or the inability to predict future behavior.…”

Section: Introductionmentioning

confidence: 99%

A methodology to estimate uncertainty for emission projections through sensitivity analysis

Lumbreras

Andrés

Pérez

et al. 2014

Journal of the Air & Waste Management Association

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Air pollution abatement policies must be based on quantitative information on current and future emissions of pollutants. As emission projections uncertainties are inevitable and traditional statistical treatments of uncertainty are highly time/resources consuming, a simplified methodology for nonstatistical uncertainty estimation based on sensitivity analysis is presented in this work. The methodology was applied to the "with measures" scenario for Spain, concretely over the 12 highest emitting sectors regarding greenhouse gas and air pollutants emissions. Examples of methodology application for two important sectors (power plants, and agriculture and livestock) are shown and explained in depth. Uncertainty bands were obtained up to 2020 by modifying the driving factors of the 12 selected sectors and the methodology was tested against a recomputed emission trend in a low economic-growth perspective and official figures for 2010, showing a very good performance.Implications: A solid understanding and quantification of uncertainties related to atmospheric emission inventories and projections provide useful information for policy negotiations. However, as many of those uncertainties are irreducible, there is an interest on how they could be managed in order to derive robust policy conclusions. Taking this into account, a method developed to use sensitivity analysis as a source of information to derive nonstatistical uncertainty bands for emission projections is presented and applied to Spain. This method simplifies uncertainty assessment and allows other countries to take advantage of their sensitivity analyses.

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Trends of greenhouse gas emissions from the road transport sector in India

Cited by 102 publications

References 0 publications

Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis

Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis

Inventory and Policy Reduction Potential of Greenhouse Gas and Pollutant Emissions of Road Transportation Industry in China

A methodology to estimate uncertainty for emission projections through sensitivity analysis

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