A Comparative Study of Factors Influencing ADAS Acceptance in Belgium and Vietnam

This paper focuses on the acceptance of ADASs in the traffic safety and human factor domain. More specifically, it examines the predictive validity of the Unified Model of Driver Acceptance (UMDA) for an ADAS bundle that includes forward collision warning, headway monitoring and warning, and lane-keeping assistance in Belgium and Vietnam, two substantially different geographical, socio-cultural, and macroeconomic settings. All systems in the studied ADAS bundle are located at the Society of Automotive Engineer (SAE)-level 0 of automation. We found moderate acceptance towards such an ADAS bundle in both countries, and respondents held rather positive opinions about system-specific characteristics. In terms of predictive validity, the UMDA scored quite well in both countries, though better in Belgium than in Vietnam. Macroeconomic factors and socio-cultural characteristics could explain these differences between the two countries. Policymakers are encouraged to prioritise initiatives that stimulate the purchase and use of the ADAS, rather than on measures meant to influence the underlying decisional balance.

Authors

Institutions

Publication Details

Journal
Safety
Published
2024-11-08
DOI
https://doi.org/10.3390/safety10040093
Citations
7
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Study of Factors Influencing ADAS Acceptance in Belgium and Vietnam

Dinh Vinh Man Nguyen, Kris Brijs, Nguyen Hoai Pham, Thi M. D. Tran et al.
7 citations
Safety
Transportation and Mobility Innovations
1.42
article

A Comparative Study of Factors Influencing ADAS Acceptance in Belgium and Vietnam

Dinh Vinh Man Nguyen, Kris Brijs, Nguyen Hoai Pham, Thi M. D. Tran, Muhammad Wisal Khattak, Tom Brijs, Tú Anh Trinh, Anh Tuan Vu
article en
7 citations

Abstract

This paper focuses on the acceptance of ADASs in the traffic safety and human factor domain. More specifically, it examines the predictive validity of the Unified Model of Driver Acceptance (UMDA) for an ADAS bundle that includes forward collision warning, headway monitoring and warning, and lane-keeping assistance in Belgium and Vietnam, two substantially different geographical, socio-cultural, and macroeconomic settings. All systems in the studied ADAS bundle are located at the Society of Automotive Engineer (SAE)-level 0 of automation. We found moderate acceptance towards such an ADAS bundle in both countries, and respondents held rather positive opinions about system-specific characteristics. In terms of predictive validity, the UMDA scored quite well in both countries, though better in Belgium than in Vietnam. Macroeconomic factors and socio-cultural characteristics could explain these differences between the two countries. Policymakers are encouraged to prioritise initiatives that stimulate the purchase and use of the ADAS, rather than on measures meant to influence the underlying decisional balance.

SafetyVol. 10(4)
University of Economics Ho Chi Minh City (VN), Vietnamese-German University (VN), Hasselt University (BE)
National Foundation for Science and Technology Development, Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Openalex Percentile: Top 19%
Transportation and Mobility Innovations
1.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Comparative Study of Factors Influencing ADAS Acceptance in Belgium and Vietnam — Dinh Vinh Man Nguyen, Kris Brijs, et al. · Safety (2024) | TGRS Research Map | TGRS