A Comparative Study of En Route Refuelling Behaviours of Conventional and Electric Vehicles in Beijing, China
Autor: | Chunfu Shao, Chengxiang Zhuge, Xia Li |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Battery (electricity)
Waiting time 020209 energy Geography Planning and Development Specific time lcsh:TJ807-830 lcsh:Renewable energy sources 02 engineering and technology Management Monitoring Policy and Law Transport engineering Normal distribution multinomial logit (MNL) model Beijing 0502 economics and business 0202 electrical engineering electronic engineering information engineering lcsh:Environmental sciences Multinomial logistic regression lcsh:GE1-350 050210 logistics & transportation Queueing theory Renewable Energy Sustainability and the Environment lcsh:Environmental effects of industries and plants 05 social sciences refuelling behaviour battery electric vehicles plug-in hybrid electric vehicles lcsh:TD194-195 Environmental science charging behaviour |
Zdroj: | Sustainability, Vol 11, Iss 14, p 3869 (2019) Sustainability Volume 11 Issue 14 |
ISSN: | 2071-1050 |
Popis: | A comparative study is carried out to investigate the differences among conventional vehicles (CVs), battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) in the maximum acceptable time of diverting to a refuelling station, maximum acceptable time of queueing at a refuelling station, refuelling modes and desirable electric driving ranges, using Beijing, China, as a case study. Here, several multinomial logit (MNL) models are developed to relate the diverting and waiting times to individual attributes. The results suggest that, (1) the diverting time roughly follows a normal distribution for both CVs and electric vehicles (EVs), but the difference between them is slight (2) EVs tend to bear longer waiting time above 10 min (3) the MNL models indicate that income and the level of education tend to be more statistically significant to both the diverting and waiting times (4) the most preferred driving ranges obtained for BEVs and PHEVs are both around 50 km, indicating that EV drivers may just prefer to charge for a specific time ranging from 8 to 10 min. Finally, ways to apply the empirical findings in planning refuelling and charging stations are discussed with specific examples. |
Databáze: | OpenAIRE |
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