Andere Kunden interessierten sich auch für
![Development of the 3D Volume Calculating Device]( "Development of the 3D Volume Calculating Device")
Development of the 3D Volume Calculating Device32,99 €![Prediction Models for Motorcycle Crashes at Intersections]( "Prediction Models for Motorcycle Crashes at Intersections")
Prediction Models for Motorcycle Crashes at Intersections38,99 €![Developing a Software Architecture Comparison Analysis Method]( "Developing a Software Architecture Comparison Analysis Method")
Developing a Software Architecture Comparison Analysis Method46,99 €![Analysis of ICT4D Strategies for Developing Nations in Crises]( "Analysis of ICT4D Strategies for Developing Nations in Crises")
Analysis of ICT4D Strategies for Developing Nations in Crises38,99 €![Smart Grid Application in Developing Countries]( "Smart Grid Application in Developing Countries")
Smart Grid Application in Developing Countries38,99 €![POST-COLONIAL IMPACT ON IT POLICY ADOPTION IN DEVELOPING COUNTRIES]( "POST-COLONIAL IMPACT ON IT POLICY ADOPTION IN DEVELOPING COUNTRIES")
POST-COLONIAL IMPACT ON IT POLICY ADOPTION IN DEVELOPING COUNTRIES38,99 €![ICT can change education scenario of developing countries]( "ICT can change education scenario of developing countries")
ICT can change education scenario of developing countries26,99 €
This book present a new method for calculating motorcycle emission base on global possition system data. This toolbox uses GPS data which was collected from motorcycle usage activities. The data was then used as inputs into the toolbox for calculating precisely the total amount of emissions as well as the amounts from each type of emissions such as CO, CO2, HC, NOx, etc. On the other hand, the understanding of other factors which affect emissions from motorcycles is also very important for attaining suitable emission control policies. Thus, another purpose of this study is to discover these factors by combining the GPS information with results from the household travel survey (which includes household/individual, socio-economic information as well as household members trip diaries). To do this, we employ the multilevel modeling method.