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Hierarchy-attribute decision making regarding public buses and private motorbikes: a case study in Ho Chi Minh City, Vietnam

Hierarchy-attribute decision making regarding public buses and private motorbikes: a case study... This study aims to identify the various attributes that significantly influence commuters’ decisions as to whether they should use public buses or private motorbikes in Ho Chi Minh City, Vietnam. Data were collected for analysis using a face-to-face survey of over 400 participants across a wide range of ages and occupations who use both public transport and private motorbikes in their daily lives. The decision tree technique and Weka software were used for data mining. The results indicate that commuters consider three vital attributes in deciding to stop using their own motorbikes in favor of public buses. The study also identifies decision rules for three commuter groups, including students, workers frequently traveling short-haul routes in the inner city, and workers frequently traveling long distances from the suburbs to the city center. The results are of significance for the identification of feasible measures and strategies to gradually encourage the use of public buses instead of motorbikes. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Public Transport Springer Journals

Hierarchy-attribute decision making regarding public buses and private motorbikes: a case study in Ho Chi Minh City, Vietnam

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Publisher
Springer Journals
Copyright
Copyright © Springer-Verlag GmbH Germany, part of Springer Nature 2020
ISSN
1866-749X
eISSN
1613-7159
DOI
10.1007/s12469-020-00256-8
Publisher site
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Abstract

This study aims to identify the various attributes that significantly influence commuters’ decisions as to whether they should use public buses or private motorbikes in Ho Chi Minh City, Vietnam. Data were collected for analysis using a face-to-face survey of over 400 participants across a wide range of ages and occupations who use both public transport and private motorbikes in their daily lives. The decision tree technique and Weka software were used for data mining. The results indicate that commuters consider three vital attributes in deciding to stop using their own motorbikes in favor of public buses. The study also identifies decision rules for three commuter groups, including students, workers frequently traveling short-haul routes in the inner city, and workers frequently traveling long distances from the suburbs to the city center. The results are of significance for the identification of feasible measures and strategies to gradually encourage the use of public buses instead of motorbikes.

Journal

Public Transport – Springer Journals

Published: Oct 20, 2020

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