State-of-the-art automobile emissions models and applications in North America and Europe for sustainable transportation

Park, Sangjun; Lee, Jung-Beom; Lee, Chungwon

doi:10.1007/s12205-016-1682-z

Cited by 11 publications

(10 citation statements)

References 54 publications

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“…For each category of emissions, one or more types of vehicles are defined, based on the engine size, and a technology is associated with each vehicle category and type (conventional, Euro V, etc.). The first version of COPERT software was published in 1989 (Park et al, 2016). COPERT 5 version 5.0 (May 2017) is the latest release and can be downloaded as a non-commercial software offered by Emisia SA.…”

Section: Emission Modelmentioning

confidence: 99%

Emission reduction via supply chain coordination

Zissis

Saharidis

Aktaş

et al. 2018

Transportation Research Part D: Transport and Environment

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This paper examines the environmental impact of potential coordination on supply chains. A decentralized two-node supply chain is studied, in which one node is a buyer ordering from a second node, who is a supplier operating under the lot-for-lot policy. The supplier is allowed to use a quantity discount to manipulate the buyer's decision reducing both his individual cost and system's operational costs. This results in decreasing the frequency of deliveries. We demonstrate that environmentally friendly policies could be also cost saving. The crucial factor about the environmental benefits is the total distance travelled rather than the vehicle loads. We establish the magnitude of the environmental benefits using numerical examples under specific operational parameters. Complete and incomplete information cases are investigated, where the buyer and the supplier make their decisions to optimize their own business operations.

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Section: Emission Modelmentioning

confidence: 99%

Emission reduction via supply chain coordination

Zissis

Saharidis

Aktaş

et al. 2018

Transportation Research Part D: Transport and Environment

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“…Urban transport pollution accounts for 80% of urban total pollution. Obviously, air pollution, noise pollution and hazardous wastes produced by urban transport have become the main sources of urban pollution [ 5 – 8 ]. The rapid growth of urban transport not only causes serious environmental pollution but also increases the energy consumption of urban transport.…”

Section: Introductionmentioning

confidence: 99%

Assessment of sustainable urban transport development based on entropy and unascertained measure

Yang

Shi

et al. 2017

PLoS ONE

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To find a more effective method for the assessment of sustainable urban transport development, the comprehensive assessment model of sustainable urban transport development was established based on the unascertained measure. On the basis of considering the factors influencing urban transport development, the comprehensive assessment indexes were selected, including urban economical development, transport demand, environment quality and energy consumption, and the assessment system of sustainable urban transport development was proposed. In view of different influencing factors of urban transport development, the index weight was calculated through the entropy weight coefficient method. Qualitative and quantitative analyses were conducted according to the actual condition. Then, the grade was obtained by using the credible degree recognition criterion from which the urban transport development level can be determined. Finally, a comprehensive assessment method for urban transport development was introduced. The application practice showed that the method can be used reasonably and effectively for the comprehensive assessment of urban transport development.

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“…However, the above does not carry out relevant research on management decisions for data information on in-use vehicle detection results, which will become the inevitable trend of exhaust pollutions control as the accumulation of in-use vehicles exhaust pollutants detection data and the upgrades of management level [25][26][27][28][29] [30]. Exhaust pollutants group state and trends were analyzed through large sample detection data of exhaust pollutants of in-use vehicles.…”

Section: Introductionmentioning

confidence: 99%

Exhaust Pollutants Characteristic of In-Use Vehicles under Acceleration Simulation Mode and Emission Standard Revision for Hei Longjiang Province, China

Chu

et al. 2017

Sustainability

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The large sample data classification statistics of exhaust pollutants test data from 57,997 in-use vehicles were conducted under acceleration simulation mode conditions, two-speed idle conditions and free acceleration conditions. Aiming at the test data obtained from acceleration simulation mode, the implementation date of different stages national standards for vehicle emissions was regarded as the service life interval classification rules. Emission limits provided by the Ministry of Environmental Protection of the People's Republic of China are referred to analyze the unqualified rate, the changing trends and group deterioration trends systematically. The determining principles and requirements on exhaust pollutants limits when formulating a new local standard in China are described. Standard revision process through determining the revision object of exhaust pollutants limits and predicting unqualified rate based on the pre-revised limits and post-revised limits is proposed. The research can not only extract valuable information from large data for accurately determining the characteristics of high-emission vehicles, but help environmental management department to formulate relevant vehicles exhaust pollutants limits standard and management decisions.

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State-of-the-art automobile emissions models and applications in North America and Europe for sustainable transportation

Cited by 11 publications

References 54 publications

Emission reduction via supply chain coordination

Emission reduction via supply chain coordination

Assessment of sustainable urban transport development based on entropy and unascertained measure

Exhaust Pollutants Characteristic of In-Use Vehicles under Acceleration Simulation Mode and Emission Standard Revision for Hei Longjiang Province, China

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