Modeling Commuter’s Sociodemographic Characteristics to Predict Public Transport Usage Frequency by Applying Supervised Machine Learning Method
Authors
Nabeel Shakeel
MoE Key Laboratory of Complex System Analysis and Management Decision, School of Economics and Management, Beihang University, Beijing, China
Department of City and Regional Planning, University of Engineering and Technology, Lahore, Pakistan
Farrukh Baig
School of Transportation and Logistics, Dalian University of Technology, Dalian, China
Muhammad Abubakar Saddiq
School of Computer Sciences and Engineering, Beihang University, Beijing, China
DOI: https://doi.org/10.2478/ttt-2019-0005 | Journal eISSN: 2585-8084
Language: English
Page range: 1 - 7
Published on: Dec 30, 2019
Published by: Univesity of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Related subjects:
© 2019 Nabeel Shakeel, Farrukh Baig, Muhammad Abubakar Saddiq, published by Univesity of Žilina
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.