Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study

This research was designed to investigate the factors affecting the frequency of use of ride-hailing in a fast-growing metropolitan region in Southeast Asia, Kuala Lumpur. An intercept survey was used to conduct this study in three potential locations that were acknowledged by one of the most famou...

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Main Author: Sivan Hisham Taher Al Jarah
Format: Article
Language:English
Published: University of Baghdad 2023-10-01
Series:Journal of Engineering
Subjects:
Online Access:https://joe.uobaghdad.edu.iq/index.php/main/article/view/2053
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author Sivan Hisham Taher Al Jarah
author_facet Sivan Hisham Taher Al Jarah
author_sort Sivan Hisham Taher Al Jarah
collection DOAJ
description This research was designed to investigate the factors affecting the frequency of use of ride-hailing in a fast-growing metropolitan region in Southeast Asia, Kuala Lumpur. An intercept survey was used to conduct this study in three potential locations that were acknowledged by one of the most famous ride-hailing companies in Kuala Lumpur. This study used non-parametric and machine learning techniques to analyze the data, including the Pearson chi-square test and Bayesian Network. From 38 statements (input variables), the Pearson chi-square test identified 14 variables as the most important. These variables were used as predictors in developing a BN model that predicts the probability of weekly usage frequency of ride-hailing. According to the final model, the attitude of the commuters towards the speed of ride-hailing over hailing regular taxis was the most important and presented in all probability conditions. Several related studies also identified ride-hailing speed as one of the top reasons for using this travel option. The findings of this study imply that commuters still compare the ride-hailing services with the traditional taxis in Kuala Lumpur, especially in terms of complementarity to other modes, ease of payment, ease of access, and speed. It is critical to have a sustainable strategy for keeping commuters’ satisfaction at the highest level because if the ride-hailing services cannot meet the commuters’ expectations, they may switch back to conventional transport options.
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spelling doaj.art-a4f80ec8416a4fe391af2d0654df45912023-11-06T19:20:26ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392023-10-01291010.31026/j.eng.2023.10.08Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study Sivan Hisham Taher Al Jarah 0Technical College of Engineering, Sulaimani Polytechnic University, Sulaimani, Iraq This research was designed to investigate the factors affecting the frequency of use of ride-hailing in a fast-growing metropolitan region in Southeast Asia, Kuala Lumpur. An intercept survey was used to conduct this study in three potential locations that were acknowledged by one of the most famous ride-hailing companies in Kuala Lumpur. This study used non-parametric and machine learning techniques to analyze the data, including the Pearson chi-square test and Bayesian Network. From 38 statements (input variables), the Pearson chi-square test identified 14 variables as the most important. These variables were used as predictors in developing a BN model that predicts the probability of weekly usage frequency of ride-hailing. According to the final model, the attitude of the commuters towards the speed of ride-hailing over hailing regular taxis was the most important and presented in all probability conditions. Several related studies also identified ride-hailing speed as one of the top reasons for using this travel option. The findings of this study imply that commuters still compare the ride-hailing services with the traditional taxis in Kuala Lumpur, especially in terms of complementarity to other modes, ease of payment, ease of access, and speed. It is critical to have a sustainable strategy for keeping commuters’ satisfaction at the highest level because if the ride-hailing services cannot meet the commuters’ expectations, they may switch back to conventional transport options. https://joe.uobaghdad.edu.iq/index.php/main/article/view/2053Transport modeRide-hailingBayesian methodTraditional taxis
spellingShingle Sivan Hisham Taher Al Jarah
Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
Journal of Engineering
Transport mode
Ride-hailing
Bayesian method
Traditional taxis
title Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
title_full Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
title_fullStr Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
title_full_unstemmed Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
title_short Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
title_sort transport assessment using bayesian method to determine ride hailing in kula lumpur a case study
topic Transport mode
Ride-hailing
Bayesian method
Traditional taxis
url https://joe.uobaghdad.edu.iq/index.php/main/article/view/2053
work_keys_str_mv AT sivanhishamtaheraljarah transportassessmentusingbayesianmethodtodetermineridehailinginkulalumpuracasestudy