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

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  • Thanh Xuan Thi Pham

    (University Finance - Marketing, Ministry of Finance)

  • Nhat Tien Nguyen

    (University Finance - Marketing, Ministry of Finance)

  • Long Bien Thi Duong

    (University Finance - Marketing, Ministry of Finance)

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.

Suggested Citation

  • Thanh Xuan Thi Pham & Nhat Tien Nguyen & Long Bien Thi Duong, 2021. "Hierarchy-attribute decision making regarding public buses and private motorbikes: a case study in Ho Chi Minh City, Vietnam," Public Transport, Springer, vol. 13(1), pages 233-249, March.
    • Handle: RePEc:spr:pubtra:v:13:y:2021:i:1:d:10.1007_s12469-020-00256-8
    DOI: 10.1007/s12469-020-00256-8
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    References listed on IDEAS

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    1. Quy Nguyen-Phuoc, Duy & Nguyen, Teron & Ngoc Su, Diep & Thi Le, Phuong & Oviedo-Trespalacios, Oscar, 2022. "How do social cues from other passengers affect word-of-mouth and intention to continue using bus services? A second-order SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 302-320.

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