Synonyme wurden verwendet für: Maschinelles Lernen
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1–50 von 70 Ergebnissen
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    Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions

    Ali, Azam / Kalatian, Arash / Choudhury, Charisma F. | Elsevier | 2023
    Schlagwörter: Machine learning , Explainable machine learning

    Network–wide prediction of public transportation ridership using spatio–temporal link–level information

    Karnberger, Stephan / Antoniou, Constantinos | Elsevier | 2019
    Schlagwörter: Machine learning

    Bridges across borders: A clustering approach to support EU regional policy

    Christodoulou, Aris / Christidis, Panayotis | Elsevier | 2020
    Schlagwörter: Machine learning

    A data-driven decision support system for service completion prediction in last mile logistics

    Pegado-Bardayo, Ana / Lorenzo-Espejo, Antonio / Muñuzuri, Jesús et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2022
    Schlagwörter: Causal machine learning , Double/debiased machine learning

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    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

    Exploring the non-linear associations between spatial attributes and walking distance to transit

    Tao, Tao / Wang, Jueyu / Cao, Xinyu | Elsevier | 2019
    Schlagwörter: Machine learning

    Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China

    Yang, Haoran / Zhang, Qinran / Helbich, Marco et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis

    Chikaraishi, Makoto / Garg, Prateek / Varghese, Varun et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships

    Xu, Yiming / Yan, Xiang / Liu, Xinyu et al. | Elsevier | 2020
    Schlagwörter: Interpretable machine learning

    Ineffective built environment interventions: How to reduce driving in American suburbs?

    Tao, Tao / Cao, Jason | Elsevier | 2023
    Schlagwörter: Machine learning

    Predicting passenger satisfaction in public transportation using machine learning models

    Ruiz, Elkin / Yushimito, Wilfredo F. / Aburto, Luis et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement

    Wallimann, Hannes / Sticher, Silvio | Elsevier | 2023
    Schlagwörter: Machine learning

    Predicting weather-induced delays of high-speed rail and aviation in China

    Chen, Zhenhua / Wang, Yuxuan / Zhou, Lei | Elsevier | 2020
    Schlagwörter: Machine learning

    Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning

    Zhou, Xiaolu / Wang, Mingshu / Li, Dongying | Elsevier | 2019
    Schlagwörter: Machine learning

    To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults

    Yang, Linchuan / Ao, Yibin / Ke, Jintao et al. | Elsevier | 2021
    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

    Domino effect in marine accidents: Evidence from temporal association rules

    Wang, Likun / Huang, Ruiling / Shi, Wenming et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Statistical and machine learning approach for planning dial-a-ride systems

    Marković, Nikola / Kim, Myungseob (Edward) / Schonfeld, Paul | Elsevier | 2016
    Schlagwörter: Machine learning

    Medium-term public transit route ridership forecasting: What, how and why? A case study in Lyon

    Egu, Oscar / Bonnel, Patrick | Elsevier | 2021
    Schlagwörter: Machine learning

    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Unsupervised machine learning

    A methodology to develop a geospatial transportation typology

    Popovich, Natalie / Spurlock, C. Anna / Needell, Zachary et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Container terminal daily gate in and gate out forecasting using machine learning methods

    Jin, Jiahuan / Ma, Mingyu / Jin, Huan et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis

    Peng, Qiao / Bakkar, Yassine / Wu, Liangpeng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    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

    Reshaping China's urban networks and their determinants: High-speed rail vs. air networks

    Yang, Haoran / Du, Delin / Wang, Jiaoe et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS

    Nour, Akram / Hellinga, Bruce / Casello, Jeffrey | Elsevier | 2015
    Schlagwörter: Machine learning

    Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments

    Jin, Tanhua / Cheng, Long / Liu, Zhicheng et al. | Elsevier | 2022
    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

    Analysis of links between dockless bikeshare and metro trips in Beijing

    Zhan, Zilin / Guo, Yuanyuan / Noland, Robert B. et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Classifying the traffic state of urban expressways: A machine-learning approach

    Cheng, Zeyang / Wang, Wei / Lu, Jian et al. | Elsevier | 2018
    Schlagwörter: Machine-learning

    Forecasting container freight rates using the Prophet forecasting method

    Saeed, Naima / Nguyen, Su / Cullinane, Kevin 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

    How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference

    Cai, Yunhao / Jing, Peng / Wang, Baihui et al. | Elsevier | 2023
    Schlagwörter: Double machine learning

    Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models

    Hu, Songhua / Xiong, Chenfeng / Chen, Peng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Forecasting transportation demand for the U.S. market

    Plakandaras, Vasilios / Papadimitriou, Theophilos / Gogas, Periklis | Elsevier | 2019
    Schlagwörter: Machine learning

    Discovering latent topics and trends in autonomous vehicle-related research: A structural topic modelling approach

    Tamakloe, Reuben / Park, Dongjoo | Elsevier | 2023
    Schlagwörter: Machine learning

    Investigating the risk factors of motorcycle crash injury severity in Pakistan: Insights and policy recommendations

    Mansoor, Umer / Jamal, Arshad / Su, Junbiao et al. | Elsevier | 2023
    Schlagwörter: Interpretable 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

    Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach

    Wu, Peijie / Chen, Tianyi / Diew Wong, Yiik et al. | Elsevier | 2023
    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

    Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing

    Wang, Yacan / Li, Jingjing / Su, Duan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Predicting the future development scale of high-speed rail through the urban scaling law

    Li, Zekun / Chen, Zhenhua | Elsevier | 2023
    Schlagwörter: Machine learning

    Understanding market competition between transportation network companies using big data

    Huang, Guan / Liang, Yuebing / Zhao, Zhan | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    Machine learning approach for spatial modeling of ridesourcing demand

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