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Toshiyuki Yamamoto
Toshiyuki Yamamoto
在 civil.nagoya-u.ac.jp 的电子邮件经过验证 - 首页
标题
引用次数
年份
Electric vehicle energy consumption prediction using stacked generalization: An ensemble learning approach
I Ullah, K Liu, T Yamamoto, M Zahid, A Jamal
International Journal of Green Energy 18 (9), 896-909, 2021
862021
Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models
J Wang, T Yamamoto, K Liu
Transport Policy 105, 166-180, 2021
212021
The impact of mandating a driving lesson for elderly drivers in Japan using count data models: case study of Toyota City
J Yang, T Yamamoto, R Ando
Accident Analysis & Prevention 153, 106015, 2021
32021
An insight into potential early adopters of hydrogen fuel-cell vehicles in Japan
U Khan, T Yamamoto, H Sato
International Journal of Hydrogen Energy 46 (18), 10589-10607, 2021
612021
Investigating hazardous factors affecting freeway crash injury severity incorporating real-time weather data: Using a Bayesian multinomial logit model with conditional …
X Zhang, H Wen, T Yamamoto, Q Zeng
Journal of safety research 76, 248-255, 2021
382021
Exploring travel pattern variability of public transport users through smart card data: Role of gender and age
S Liu, T Yamamoto, E Yao, T Nakamura
IEEE Transactions on Intelligent Transportation Systems 23 (5), 4247-4256, 2020
182020
Attitude toward physical activity as a determinant of bus use intention: A case study in Asuke, Japan
Y Tran, T Yamamoto, H Sato, T Miwa, T Morikawa
IATSS research 44 (4), 293-299, 2020
172020
Exploring behavioral heterogeneities of metro passenger’s travel plan choice under unplanned service disruption with uncertainty
B Li, E Yao, T Yamamoto, Y Tang, S Liu
Transportation Research Part A: Policy and Practice 141, 294-306, 2020
142020
Consumer preferences for hydrogen fuel cell vehicles in Japan
U Khan, T Yamamoto, H Sato
Transportation Research Part D: Transport and Environment 87, 102542, 2020
792020
The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns.
Y Tran, T Yamamoto, H Sato, T Miwa, T Morikawa
Journal of choice modelling 36, 100227, 2020
62020
Hazard Duration Model with Panel Data for Daily Car Travel Distance: A Toyota City Case Study
J He, T Yamamoto, T Miwa, T Morikawa
Sustainability 12 (16), 6331, 2020
32020
Study of older male drivers’ driving stress compared with that of young male drivers
Y Zhao, T Yamamoto, R Kanamori
Journal of traffic and transportation engineering (English edition) 7 (4 …, 2020
272020
Key determinants and heterogeneous frailties in passenger loyalty toward customized buses: An empirical investigation of the subscription termination hazard of users
J Wang, T Yamamoto, K Liu
Transportation Research Part C: Emerging Technologies 115, 102636, 2020
372020
A random heaping model of annual Vehicle Kilometres Travelled considering heterogeneous approximation in reporting
T Yamamoto, JL Madre, M de Lapparent, R Collet
Transportation 47 (3), 1027-1045, 2020
162020
First train timetabling for urban rail transit networks with maximum passenger transfer satisfaction
X Li, T Yamamoto, T Yan, L Lu, X Ye
Sustainability 12 (10), 4166, 2020
132020
Do People Drive Light Cars Carefully? A Comparative Study of Risky Driving Behaviors between Light Cars and Others
Y Zhao, T Yamamoto
Energies 13 (7), 1593, 2020
12020
The influences of environmentalism and attitude towards physical activity on mode choice: The new evidences
Y Tran, T Yamamoto, H Sato
Transportation research part A: policy and practice 134, 211-226, 2020
92020
Passenger travel behavior analysis under unplanned metro service disruption: Using stated preference data in Guangzhou, China
B Li, E Yao, T Yamamoto, N Huan, S Liu
Journal of Transportation Engineering, Part A: Systems 146 (2), 04019069, 2020
112020
Characterization of daily travel distance of a university car fleet for the purpose of replacing conventional vehicles with electric vehicles
J He, T Yamamoto
Sustainability 12 (2), 690, 2020
62020
Improving Coverage Rate for Urban Link Travel Time Prediction Using Probe Data in the Low Penetration Rate Environment
R Tang, R Kanamori, T Yamamoto
Sensors 20 (1), 265, 2020
12020
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