Interpretable machine learning models for detecting fine-grained transport modes by multi-source data
Yuhang Liu,
Jun Chen,
Yuchen Wang
et al.
Abstract:<abstract>
<p>Analysis of transport mode choice is crucial in transportation planning and optimization. Traditionally, the transport mode of individuals is detected by discrete choice models (DCMs), which rely on data regarding individual and household attributes. Using these attribute data raises privacy concerns and limits the applicability of the model. Meanwhile, the detection results of DCMs may be biased, despite providing insight into the impact of variables. The machine learning models are… Show more
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