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Modeling Commuter’s Sociodemographic Characteristics to Predict Public Transport Usage Frequency by Applying Supervised Machine Learning Method

Nabeel Shakeel

Nabeel Shakeel

  • MoE Key Laboratory of Complex System Analysis and Management Decision, School of Economics and Management, Beihang UniversityBeijing, China
  • Department of City and Regional Planning, University of Engineering and TechnologyLahore, Pakistan
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Shakeel, Nabeel
, 
Farrukh Baig

Farrukh Baig

School of Transportation and Logistics, Dalian University of TechnologyDalian, China
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Baig, Farrukh
 and 
Muhammad Abubakar Saddiq

Muhammad Abubakar Saddiq

School of Computer Sciences and Engineering, Beihang UniversityBeijing, China
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Saddiq, Muhammad Abubakar
  
Dec 30, 2019
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Published Online: Dec 30, 2019
Page range: 1 - 7
DOI: https://doi.org/10.2478/ttt-2019-0005
Keywords
© 2019 Nabeel Shakeel et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Computer Sciences, Information Technology, Business and Economics, Business Management, Business Management, other, Industries, Transportation, Logistics, Air Traffic, Shipping, Engineering, Mechanical Engineering, Thermodynamics
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