Data mining techniques to analyze the factors influencing active commuting to school-Reference-Cited by-同舟云学术

Data mining techniques to analyze the factors influencing active commuting to school

Published:2019-01-24 Issue:4 Volume:14 Page:308-323
ISSN:1556-8318
Container-title:International Journal of Sustainable Transportation
language:en
Short-container-title:International Journal of Sustainable Transportation

Author:

Ferri-García Ramón¹,Fernández-Luna Juan M.²,Rodríguez-López Carlos³,Chillón Palma³

Affiliation:

1. Department of Statistics and Operations Research, Faculty of Sciences, University of Granada, Granada, Spain;

2. Department of Computer Science and Artificial Intelligence, Higher Technical School of Information Technology and Telecommunications Engineering, University of Granada, Granada, Spain;

3. PROFITH Research Group, Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain

Funder

Spanish Ministry of Economy, Industry and Competitiveness

Publisher

Informa UK Limited

Subject

Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15568318.2018.1547465

Reference74 articles.

1. Sociodemographic, Family, and Environmental Factors Associated with Active Commuting to School among US Adolescents

2. Personal and environmental factors associated with active commuting to school in Switzerland

3. Playing it safe: The influence of neighbourhood safety on children's physical activity—A review

4. A survey on feature selection methods

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