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Title:
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MIXED APPROACH FOR BIKE AVAILABILITY FORECAST |
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Author(s):
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Ignacio Sevillano Muñoz |
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ISBN:
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978-989-8704-50-4 |
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Editors:
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Piet Kommers, Mário Macedo, Guo Chao Peng and Ajith Abraham |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Bike Availability Forecast, Predictive Analysis, XGBoost |
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Type:
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Short |
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First Page:
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348 |
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Last Page:
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352 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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We propose a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches. The model assumes a Poisson distribution on bike station arrival and departures. The model is validated by comparing the predicted arrival and departure rates to the actual rates. The case study results show that our model can outperform other naïve approaches using the mean on arrival and departure rates. |
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