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Nonlinearities and threshold points in the effect of contextual features on the spatial and temporal variability of bus use in Beijing using explainable machine learning: Predictable or uncertain trips? (2025)

First Author: Tao S

Attributed to: DEBIAS - DEveloping a framework to measure and correct BIASes in human mobility data extracted from digital footprints funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.jtrangeo.2025.104126

Publication URI: http://dx.doi.org/10.1016/j.jtrangeo.2025.104126

Type: Journal Article/Review

Parent Publication: Journal of Transport Geography

ISSN: 09666923