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

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

Transport technic and technology
Volume 15 (2019): Issue 2 (December 2019)
By: Nabeel Shakeel,  Farrukh Baig and  Muhammad Abubakar Saddiq  
Open Access
|Dec 2019
DOI: https://doi.org/10.2478/ttt-2019-0005 | Journal eISSN: 2585-8084
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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
Keywords:
machine learning,
modeling,
public transport,
socio-demographic status,
Hyderabad
Related subjects:
Computer sciences,
Information technology,
Business and economics,
Business management,
Business management, other,
Industries,
Transportation, logistics, air traffic, shipping,
Engineering,
Mechanical engineering,
Thermodynamics

© 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.

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