Interaction of activity travel, GHG emissions, and health parameters using R – A Step towards sustainable transportation system

Author:

Ali Mujahid,Macioszek Elżbieta,Onyelowe Kennedy,Wah Yuen Choon,Arif Kiran

Funder

Silesian University of Technology

Publisher

Elsevier BV

Reference74 articles.

1. Dharmowijoyo, D.B. and Susilo, Y.O.K., Anders, 2018. On complexity and variability of individuals’ day-to-day discretionary activities. DiVA, DOI: diva2:881320.

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3. Hybrid bayesian network models to investigate the impact of built environment experience before adulthood on students tolerable travel time to campus: towards sustainable commute behavior;Chen;Sustainability,2022

4. Classification of imbalanced travel mode choice to work data using adjustable SVM model;Qian;Appl Sci,2021

5. An advanced machine learning approach to predicting pedestrian fatality caused by road crashes: a step toward sustainable pedestrian safety;Tao;Sustainability,2022

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