Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers

Congestion remains an enduring issue in cities, yet limited research has focused on analyzing driving behavior and motivation. Instead, solutions predominantly revolve around infrastructure development, traffic volume management, and implementing technological advancements. The Industry 4.0 traffic...

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Main Authors: de Ocampo, Beata Maria F., Tanpoco, Manuel R.
Format: text
Published: Animo Repository 2024
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/12597
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-14561
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-145612024-07-01T07:38:35Z Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers de Ocampo, Beata Maria F. Tanpoco, Manuel R. Congestion remains an enduring issue in cities, yet limited research has focused on analyzing driving behavior and motivation. Instead, solutions predominantly revolve around infrastructure development, traffic volume management, and implementing technological advancements. The Industry 4.0 traffic management framework emphasizes the human aspect. This sequential explanatory mixed-method study focuses on public utility vehicle (PUV) drivers in Metro Manila, their behaviors and motivations. It employs the COM-B Model and the PRIME Theory of Motivations as conceptual frameworks. The research questions are: Do Filipino PUV drivers exhibit automatic or reflective motivation in their driving behaviors under different traffic scenarios? What are the underlying factors contributing to the seemingly mindless behaviors observed among PUV drivers? The study utilized a Filipino-adapted Driver Behavior Questionnaire (DBQ) to measure drivers’ behaviors followed by interviews as to underlying motivations for each behavior. The study's findings reveal that PUV drivers make more automatic than reflective driving decisions. Also, genuine concerns about the future emerged in light of technological and transportation policy changes. We recommend reassessing the PUV modernization program and its implementation to address the fundamental challenges faced by PUV drivers and develop solutions in alignment with UN SDG-1 (no poverty) and UN SDG-10 (reduced inequalities). 2024-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/12597 Faculty Research Work Animo Repository Motor vehicle drivers—Philippines—Metro Manila—Psychology Traffic congestion—Philippines—Metro Manila Traffic congestion—Economic aspects—Philippines—Metro Manila Social and Behavioral Sciences Transportation
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Motor vehicle drivers—Philippines—Metro Manila—Psychology
Traffic congestion—Philippines—Metro Manila
Traffic congestion—Economic aspects—Philippines—Metro Manila
Social and Behavioral Sciences
Transportation
spellingShingle Motor vehicle drivers—Philippines—Metro Manila—Psychology
Traffic congestion—Philippines—Metro Manila
Traffic congestion—Economic aspects—Philippines—Metro Manila
Social and Behavioral Sciences
Transportation
de Ocampo, Beata Maria F.
Tanpoco, Manuel R.
Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers
description Congestion remains an enduring issue in cities, yet limited research has focused on analyzing driving behavior and motivation. Instead, solutions predominantly revolve around infrastructure development, traffic volume management, and implementing technological advancements. The Industry 4.0 traffic management framework emphasizes the human aspect. This sequential explanatory mixed-method study focuses on public utility vehicle (PUV) drivers in Metro Manila, their behaviors and motivations. It employs the COM-B Model and the PRIME Theory of Motivations as conceptual frameworks. The research questions are: Do Filipino PUV drivers exhibit automatic or reflective motivation in their driving behaviors under different traffic scenarios? What are the underlying factors contributing to the seemingly mindless behaviors observed among PUV drivers? The study utilized a Filipino-adapted Driver Behavior Questionnaire (DBQ) to measure drivers’ behaviors followed by interviews as to underlying motivations for each behavior. The study's findings reveal that PUV drivers make more automatic than reflective driving decisions. Also, genuine concerns about the future emerged in light of technological and transportation policy changes. We recommend reassessing the PUV modernization program and its implementation to address the fundamental challenges faced by PUV drivers and develop solutions in alignment with UN SDG-1 (no poverty) and UN SDG-10 (reduced inequalities).
format text
author de Ocampo, Beata Maria F.
Tanpoco, Manuel R.
author_facet de Ocampo, Beata Maria F.
Tanpoco, Manuel R.
author_sort de Ocampo, Beata Maria F.
title Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers
title_short Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers
title_full Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers
title_fullStr Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers
title_full_unstemmed Barely hanging on to the coattails of progress: Deep-dive into the driving behavior and motivation of public utility vehicle drivers
title_sort barely hanging on to the coattails of progress: deep-dive into the driving behavior and motivation of public utility vehicle drivers
publisher Animo Repository
publishDate 2024
url https://animorepository.dlsu.edu.ph/faculty_research/12597
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