Bringing realism: Enhancing high-dimensional data for active behavior analysis in older adults

Understanding active travel behavior among older adults in suburban communities is often hindered by restricted data access and imbalanced sample distributions at the community level. These challenges limit the ability to train robust nonlinear models that capture the complex relationships between t...

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Veröffentlicht in:	Journal of transport geography Jg. 129; S. 104433
Hauptverfasser:	Guo, Cong, Jiang, Yaoqin, Yang, Yitong, Yuan, Zhilu, Guo, Renzhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025
Schlagworte:	Data augmentation Generative adversarial networks Light gradient boosting machine Older adults travel behavior Variational autoencoder Variational autoencoder Data augmentation Generative adversarial networks Older adults travel behavior Light gradient boosting machine
ISSN:	0966-6923
Online-Zugang:	Volltext
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