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Journals
Transport technic and technology
Volume 15 (2019): Issue 2 (December 2019)
Open Access
Modeling Commuter’s Sociodemographic Characteristics to Predict Public Transport Usage Frequency by Applying Supervised Machine Learning Method
Nabeel Shakeel
Nabeel Shakeel
,
Farrukh Baig
Farrukh Baig
and
Muhammad Abubakar Saddiq
Muhammad Abubakar Saddiq
| Dec 30, 2019
Transport technic and technology
Volume 15 (2019): Issue 2 (December 2019)
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Published Online:
Dec 30, 2019
Page range:
1 - 7
DOI:
https://doi.org/10.2478/ttt-2019-0005
Keywords
machine learning
,
modeling
,
public transport
,
socio-demographic status
,
Hyderabad
© 2019 Nabeel Shakeel et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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