Literature DB >> 12873404

Motorcycle emissions and fuel consumption in urban and rural driving conditions.

K S Chen1, W C Wang, H M Chen, C F Lin, H C Hsu, J H Kao, M T Hu.   

Abstract

This work reports sampling of motorcycle on-road driving cycles in actual urban and rural environments and the development of representative driving cycles using the principle of least total variance in individual regions. Based on the representative driving cycles in individual regions, emission factors for carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NO(x)=NO+NO(2)) and carbon dioxide (CO(2)), as well as fuel consumption, were determined using a chassis dynamometer. The measurement results show that the representative driving cycles are almost identical in the three largest cities in Taiwan, but they differ significantly from the rural driving cycle. Irrespective of driving conditions, emission factors differ insignificantly between the urban and rural regions at a 95% confidence level. However, the fuel consumption in urban centers is approximately 30% higher than in the rural regions, with driving conditions in the former usually poor compared to the latter. Two-stroke motorcycles generally have considerably higher HC emissions and quite lower NO(x) emissions than those of four-stroke motorcycles. Comparisons with other studies suggest that factors such as road characteristics, traffic volume, vehicle type, driving conditions and driver behavior may affect motorcycle emission levels in real traffic situations.

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Year:  2003        PMID: 12873404     DOI: 10.1016/S0048-9697(03)00196-7

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Development of real-world driving cycles and estimation of emission factors for in-use light-duty gasoline vehicles in urban areas.

Authors:  Mei-Yin Hwa; Tai-Yi Yu
Journal:  Environ Monit Assess       Date:  2014-02-14       Impact factor: 2.513

2.  Spatial and Socio-Classification of Traffic Pollutant Emissions and Associated Mortality Rates in High-Density Hong Kong via Improved Data Analytic Approaches.

Authors:  Hugo Wai Leung Mak; Daisy Chiu Yi Ng
Journal:  Int J Environ Res Public Health       Date:  2021-06-17       Impact factor: 3.390

  2 in total

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