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Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation.

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Geographical and temporal huff model calibration using taxi trajectory data., , , , , and . GeoInformatica, 25 (3): 485-512 (2021)Analytics and machine learning in vehicle routing research., , , , , , , , , and 6 other author(s). Int. J. Prod. Res., 61 (1): 4-30 (2023)Analytics and Machine Learning in Vehicle Routing Research., , , , , , , , , and 6 other author(s). CoRR, (2021)Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19., , , , , and . CoRR, (2021)Spatio-temporal parking occupancy forecasting integrating parking sensing records and street-level images., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (April 2023)Effects of the Tradeoff between the Customer Churn Rate and Retention Capability on the Predictive Performance of Algorithms., , , , , and . ICDM (Posters), page 10-16. ibai Publishing, (2015)Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (August 2023)Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation., , , , , and . Int. J. Geogr. Inf. Sci., 34 (6): 1210-1234 (2020)