scholarly journals Short-Term Impact Analysis of DTG Installation for Commercial Vehicles

Author(s):  
Seok-June Lee ◽  
◽  
Chungwon Lee
2012 ◽  
Vol 35 (7) ◽  
pp. 715-736 ◽  
Author(s):  
Hooi Ling Khoo ◽  
Ghim Ping Ong ◽  
Wooi Chen Khoo

2007 ◽  
Vol 43 (3) ◽  
pp. 827-841 ◽  
Author(s):  
Insu Park ◽  
R. Sharman ◽  
H.R. Rao ◽  
S. Upadhyaya

2003 ◽  
Vol 9 (2) ◽  
pp. 179-190 ◽  
Author(s):  
Brian W. Sloboda

This paper presents an assessment of the effects of terrorism on tourism by using time series methods, namely the ARMAX (autoregressive moving average with explanatory variables) model. This is a single-equation approach, which has the ability to provide impact analysis easily. The use of the ARMAX model allows for the general shape of the lag distribution of the impacts of the explanatory variables based on the ratio of lag polynomials for the independent and dependent variables. The ARMAX models, like the ARIMA models, provide for a short-term assessment of terrorist incidents on tourism.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3353 ◽  
Author(s):  
Feiqi Liu ◽  
Fuquan Zhao ◽  
Zongwei Liu ◽  
Han Hao

The explosion of the vehicle market in China has caused a series of problems, like energy security, climate change, air pollution, etc. The deployment of electric vehicles (EVs) is considered an effective solution to address these problems. Thus, both the state and local governments in China have launched some policies and incentives to accelerate the development of EVs and the EV industry. Do EVs can effectively solve these problems in short term, viewed from the fleet point? Based on China’s most up-to-date deployment plan for EVs, this paper analyzes the energy consumption and greenhouse gas (GHG) emissions caused by China’s road transport sector in three different scenarios. The results indicate that, based on current planning, the energy consumption and GHG emissions of the whole fleet will peak in 2025 and 2027, at the level of around 403 mtoe (million tons of oil equivalent) and 1763 mt CO2 eq. (million tons of CO2 equivalent), respectively. The introduction of EVs will significantly reduce the reliance on fossil fuel in the long term, with increasing ownership, while, in the short term, the fuel economy regulation will still play a more important role. Policy makers should continually pay attention to this. Meanwhile, commercial vehicles, especially heavy-duty trucks will account for a bigger and bigger proportion in the energy consumption and GHG emissions of the whole fleet. Thus, to some extent the focus should shift from passenger vehicles to commercial vehicles. More measures could be implemented.


Author(s):  
Samir Lotfi ◽  
Silvia Pela

Eucalyptus forestry is an important source of competitive advantage for Brazil and, since eucalyptus is a basic raw material for industrial segments that are undergoing great expansion, monitoring the growth rate of cultivated area is increasingly relevant.This study resorted to Trend Impact Analysis (TIA) to forecast the planting of eucalyptus in Brazil’s reforested areas, adjusting the linear regression of historical data in the light of three events that were under way or that will probably influence the trend: timber funds, the world financial crisis and Biomass to Liquid (BTL) technology.The results allow one to infer that, in the short term, eucalyptus cultivation will expand at a rate similar to that of the linear curve, adversely affected by the world crisis and positively affected by timber funds.By 2016, however, the expansion of eucalyptus plantations is expected, largely because of the commercial scale of BTL technology.Key words: Trend Impact Analysis. Eucalyptus. Future Studies.


2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.


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