Application of machine learning with a surrogate model to explore seniors’ daily activity patterns
Author:
Affiliation:
1. School of Design and Architecture, Zhejiang University of Technology, Hangzhou, Zhejiang Province, China
Funder
Zhejiang Provincial Philosophy and Social Science Planning Project
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Transportation
Link
https://www.tandfonline.com/doi/pdf/10.1080/19427867.2021.1969169
Reference48 articles.
1. Daily activity pattern recognition by using support vector machines with multiple classes
2. Framework for the development of the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model
3. Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands
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