TY - JOUR
T1 - A comparative study of en route refuelling behaviours of conventional and electric vehicles in Beijing, China
AU - Zhuge, Chengxiang
AU - Shao, Chunfu
AU - Li, Xia
N1 - Publisher Copyright:
© 2019 by the authors.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
KW - Battery electric vehicles
KW - Charging behaviour
KW - Multinomial logit (MNL) model
KW - Plug-in hybrid electric vehicles
KW - Refuelling behaviour
UR - http://www.scopus.com/inward/record.url?scp=85070681660&partnerID=8YFLogxK
U2 - 10.3390/su11143869
DO - 10.3390/su11143869
M3 - Article
AN - SCOPUS:85070681660
SN - 2071-1050
VL - 11
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 14
M1 - 3869
ER -