Synonyme wurden verwendet für: Machine learning
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1–20 von 33 Ergebnissen
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    Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city

    Sun, Shan / Guo, Liang / Yang, Shuo et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Detecting anomalous commuting patterns: Mismatch between urban land attractiveness and commuting activities

    Tong, Zhaomin / Zhang, Ziyi / An, Rui et al. | Elsevier | 2024
    Schlagwörter: Machine learning model

    Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

    Ashik, F.R. / Sreezon, A.I.Z. / Rahman, M.H. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

    Choi, Seung Jun / Jiao, Junfeng / Lee, Hye Kyung et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning

    Zhang, Xiaojian / Zhou, Zhengze / Xu, Yiming et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Examining the non-linear effects of transit accessibility on daily trip duration: A focus on the low-income population

    Tao, Sui / Cheng, Long / He, Sylvia et al. | Elsevier | 2023
    Schlagwörter: Machine-learning

    An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning

    Lv, Huitao / Li, Haojie / Chen, Yanlu et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility

    Gao, Kun / Yang, Ying / Gil, Jorge et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    How the built environment affects E-scooter sharing link flows: A machine learning approach

    Jin, Scarlett T. / Wang, Lei / Sui, Daniel | Elsevier | 2023
    Schlagwörter: Machine learning

    Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city

    Shao, Qifan / Zhang, Wenjia / Cao, Xinyu (Jason) et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An Efficient Application of Machine Learning for Assessment of Terrain 3D Information Using Drone Data

    Agarwal, Ankush / Saini, Aradhya / Kumar, Sandeep et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

    Yousefzadeh Barri, Elnaz / Farber, Steven / Jahanshahi, Hadi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    A kilometer or a mile? Does buffer size matter when it comes to car ownership?

    Laviolette, Jérôme / Morency, Catherine / Waygood, E.O.D. | Elsevier | 2022
    Schlagwörter: Machine learning

    Machine learning approach for spatial modeling of ridesourcing demand

    Zhang, Xiaojian / Zhao, Xilei | Elsevier | 2022
    Schlagwörter: Machine learning

    Exploring built environment correlates of walking for different purposes: Evidence for substitution

    Yin, Chun / Cao, Jason / Sun, Bindong et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Nonlinear and threshold effects of the built environment on e-scooter sharing ridership

    Yang, Hongtai / Zheng, Rong / Li, Xuan et al. | Elsevier | 2022
    Schlagwörter: Machine learning