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21–40 von 67 Ergebnissen
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    Spatial disparity of individual and collective walking behaviors: A new theoretical framework

    Jiang, Yuxiao / Chen, Long / Grekousis, George et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting

    Ding, Chuan / Liu, Tiantian / Cao, Xinyu et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Flow-based unit is better: exploring factors affecting mid-term OD demand of station-based one-way electric carsharing

    Cheng, Jiaqi / Chen, Xiaohong / Ye, Jianhong et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Joint associations of environmental and sociodemographic attributes with active and sedentary travel

    Chandrabose, Manoj / Rahim Mohammad Forkan, Abdur / Abe, Takumi et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Gender differences in active travel among older adults: Non-linear built environment insights

    Yang, Yongjiang / Sasaki, Kuniaki / Cheng, Long et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Exploring user satisfaction and improvement priorities in electric vehicle segments

    Zhao, Danting / Gao, Jie / Liu, Nieyangzi | Elsevier | 2023
    Schlagwörter: Machine learning

    Using open data and deep learning to explore walkability in Shenzhen, China

    He, Xuan / He, Sylvia Y. | Elsevier | 2023
    Schlagwörter: Deep learning

    Deep collaborative learning model for port-air pollutants prediction using automatic identification system

    Sim, Sunghyun / Park, Jin-Hyoung / Bae, Hyerim | Elsevier | 2022
    Schlagwörter: Deep Collaborative Learning

    Promoting Environmentally Benign Electric Vehicles

    Ajanovic, Amela | Tema Archiv | 2014
    Schlagwörter: technologisches Lernen

    Exploring the nonlinear effects of built environment characteristics on customized bus service

    Wang, Jiangbo / Liu, Kai / Wang, De | Elsevier | 2022
    Schlagwörter: Machine learning

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors

    Cai, Haiming / Wang, Jiawei / Li, Binliang et al. | Elsevier | 2024
    Schlagwörter: Inverse Reinforcement Learning

    Fake it till you make it: Synthetic data for emerging carsharing programs

    Albrecht, Tobias / Keller, Robert / Rebholz, Dominik et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Schlagwörter: Bayesian machine learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Exploring nonlinear built environment effects on driving with a mixed-methods approach

    Tao, Tao / Næss, Petter | Elsevier | 2022
    Schlagwörter: Machine learning

    A time series clustering based approach for construction of real-world drive cycles

    Ganesh Sundarkumar, G. / B. V., Subramanya Bharadwaj / Munigety, Caleb Ronald et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data

    Yang, Jiayu / Shi, Linchang / Lee, Jaeyoung et al. | Elsevier | 2024
    Schlagwörter: Deep-learning methods