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A Comparative Evaluation of Machine Learning Methods for Bicycle Route Choice Modelling
Analysing cycling route choice holds significant relevance in transport planning, as it directly impacts the design and optimization of urban mobility. Although machine learning (ML) methods are increasingly used for transport planning research, there remains a research gap on applying of ML methods
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