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 | 86 | 2021 |
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 | 21 | 2021 |
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 | 3 | 2021 |
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 | 61 | 2021 |
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 | 38 | 2021 |
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 | 18 | 2020 |
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 | 17 | 2020 |
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 | 14 | 2020 |
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 | 79 | 2020 |
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 | 6 | 2020 |
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 | 3 | 2020 |
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 | 27 | 2020 |
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 | 37 | 2020 |
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 | 16 | 2020 |
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 | 13 | 2020 |
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 | 1 | 2020 |
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 | 9 | 2020 |
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 | 11 | 2020 |
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 | 6 | 2020 |
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 | 1 | 2020 |