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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
 e 
Muhammad Abubakar Saddiq

Muhammad Abubakar Saddiq

School of Computer Sciences and Engineering, Beihang UniversityBeijing, China
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Saddiq, Muhammad Abubakar
  
30 dic 2019
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Pubblicato online: 30 dic 2019
Pagine: 1 - 7
DOI: https://doi.org/10.2478/ttt-2019-0005
Parole chiave
© 2019 Nabeel Shakeel et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Informatica, Tecnologia informatica, Economia e business, Business management, Business Management, altro, Settori, Trasporto, Logistica, traffico aereo, consegne, Ingegneria, Ingegneria meccanica, Termodinamica
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