Research Excellence Award
Miss. Jarinya Chaiwiset
Suranaree University of Technology
| Researcher Information |
| Full Name |
Miss. Jarinya Chaiwiset |
| Affiliation |
Suranaree University of Technology |
| Country |
Thailand |
| Subject Area |
Transportation Engineering, Logistics Engineering, Intelligent Transportation Systems |
| Event |
Research Excellence Award |
The Research Excellence Award recognizes researchers whose scholarly achievements demonstrate significant contributions to scientific knowledge, methodological advancement, and societal development. Miss. Jarinya Chaiwiset has established a research profile in transportation engineering, logistics systems, intelligent transportation technologies, and road safety studies. Her academic work integrates behavioral science, transportation management, and advanced statistical modeling to address contemporary transportation challenges in Thailand. Through peer-reviewed publications and professional engineering practice, she has contributed to the advancement of transportation research, traffic management systems, and technology adoption studies.[1]
Abstract
Miss. Jarinya Chaiwiset is a transportation and logistics engineering researcher whose academic work focuses on intelligent transportation systems, road safety management, traffic technology acceptance, and behavioral analysis in transportation environments. As a doctoral researcher in Engineering at Suranaree University of Technology, her studies employ advanced analytical methodologies, including Structural Equation Modeling (SEM), the Health Belief Model (HBM), the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Technology Readiness Index (TRI) frameworks. Her research investigates public acceptance of transportation technologies such as red-light cameras, advanced traffic management systems, and autonomous vehicles. Through interdisciplinary integration of engineering principles and behavioral sciences, her work contributes to evidence-based transportation policy and infrastructure planning. The combination of academic excellence, international educational exposure, engineering consultancy experience, and research productivity demonstrates significant scholarly potential and positions her as a contributor to future transportation innovation and sustainable mobility development.[1][2]
Keywords
Transportation Engineering, Logistics Engineering, Intelligent Transportation Systems, Traffic Management, Road Safety, Structural Equation Modeling, Autonomous Vehicles, Technology Acceptance Model, Health Belief Model, Theory of Planned Behavior, Transportation Policy, Sustainable Mobility, Highway Engineering, Transportation Technology Adoption, Smart Infrastructure.
Introduction
Transportation systems play a fundamental role in economic development, social connectivity, and sustainable urban growth. As transportation networks become increasingly complex, researchers are required to develop innovative approaches that improve safety, efficiency, and user acceptance of emerging technologies. Intelligent Transportation Systems (ITS), automated mobility solutions, and advanced traffic management technologies represent critical areas of investigation for modern transportation engineering.
Within this evolving research landscape, Miss. Jarinya Chaiwiset has developed expertise at the intersection of transportation engineering, logistics systems, and behavioral research. Her scholarly work addresses the human factors influencing transportation technology adoption and road safety outcomes. By integrating established behavioral theories with engineering analysis, she contributes to a growing body of literature that seeks to understand how users interact with transportation innovations.
Her academic journey reflects a strong commitment to research excellence. Beginning with a Bachelor of Engineering degree in Transportation and Logistics Engineering from Suranaree University of Technology, followed by international academic experiences in China and South Korea, she has pursued advanced doctoral studies in Energy Management and Logistics Engineering. This educational foundation supports her interdisciplinary approach to transportation challenges and strengthens the relevance of her research within contemporary mobility systems.
Research Profile
Miss. Jarinya Chaiwiset is currently pursuing a Doctor of Philosophy in Engineering under the Bachelor-to-Ph.D. Direct Program at Suranaree University of Technology with a perfect academic performance record. Her research specialization encompasses transportation engineering, logistics management, intelligent transportation systems, traffic safety, and transportation technology acceptance. The integration of engineering methodologies with behavioral science frameworks distinguishes her research profile and supports comprehensive analyses of transportation-related decision-making processes.
Her publication portfolio includes peer-reviewed journal articles and manuscripts under review in internationally recognized transportation and infrastructure journals. Notably, she serves as both first author and corresponding author on her publications, reflecting a leading role in research design, data analysis, manuscript preparation, and scholarly communication. Her studies investigate driver acceptance of red-light cameras, advanced traffic management systems, and autonomous vehicles within the Thai transportation context.
- Institution: Suranaree University of Technology.
- Research Areas: Transportation Engineering, Logistics Systems, Road Safety, ITS.
- Academic Status: Ph.D. Candidate in Engineering.
- Publication Role: First and Corresponding Author.
- Research Methodology: Structural Equation Modeling and Behavioral Analysis.
- International Academic Experience: South Korea and China.
Research Contributions
Miss. Jarinya Chaiwiset’s research contributions are centered on transportation engineering, intelligent transportation systems, road safety management, and technology adoption within transportation environments. Her work addresses critical challenges associated with the implementation of modern transportation technologies by examining the behavioral, psychological, and technological factors that influence user acceptance and decision-making. Through the application of advanced statistical techniques and theoretical frameworks, her studies contribute to a deeper understanding of how transportation innovations can be effectively integrated into society.
A significant aspect of her research involves the investigation of driver acceptance toward road safety technologies. Her published work on red-light camera acceptance in Thailand employed an integrated Health Belief Model (HBM) and Theory of Planned Behavior (TPB) framework using Structural Equation Modeling. This research provided empirical evidence regarding factors influencing public support for enforcement technologies and contributed to the broader understanding of behavioral responses to road safety interventions.
Another major research theme focuses on intelligent transportation systems and advanced traffic management technologies. Her studies explore how technological readiness, perceived usefulness, behavioral intention, and trust influence public adoption of systems such as M-Flow electronic toll collection. These investigations provide valuable insights for transportation planners and policymakers seeking to increase public acceptance of innovative transportation solutions.
Her ongoing research concerning autonomous vehicle adoption extends existing knowledge by integrating safety-risk cognition with behavioral theories to evaluate public readiness for emerging mobility technologies. The findings are expected to support future transportation policies, technology deployment strategies, and sustainable mobility initiatives.
- Application of Structural Equation Modeling (SEM) in transportation research.
- Integration of HBM, TPB, TAM, and TRI frameworks for transportation technology analysis.
- Investigation of road safety behavior and technology acceptance.
- Research on intelligent transportation systems and digital mobility solutions.
- Contributions to autonomous vehicle adoption and risk perception studies.
- Evidence-based recommendations for transportation policy and infrastructure planning.
Publications
Miss. Jarinya Chaiwiset has established a publication portfolio focused on transportation engineering, traffic management technologies, road safety, and behavioral analysis. Her scholarly work demonstrates a consistent research direction centered on understanding human interactions with transportation systems and evaluating factors influencing technology acceptance in the transportation sector.
Her published article in Frontiers in Built Environment examines driver acceptance of red-light cameras in Thailand through an integrated HBM-TPB framework. This study contributes to the literature on road safety interventions and provides valuable empirical evidence regarding behavioral determinants of acceptance toward enforcement technologies.
Additional manuscripts under review in Infrastructures focus on advanced traffic management systems and autonomous vehicle adoption. These studies expand the scope of transportation technology research by analyzing public perceptions, technology readiness, and behavioral intentions related to emerging mobility solutions.
Collectively, her publications demonstrate a coherent research trajectory characterized by interdisciplinary integration, methodological rigor, and practical relevance. Her role as first and corresponding author further highlights her leadership in research conceptualization, execution, and dissemination.
- Understanding Driver Acceptance of Red-Light Cameras in Thailand: Testing an Integrated HBM-TPB Model Using Structural Equation Modeling – Published in Frontiers in Built Environment.
- Driver Acceptance of Advanced Traffic Management Systems: An Integrated TAM-TRI Analysis of M-Flow in Thailand Using Structural Equation Modeling – Under Review.
- Safety-Risk Cognition and Autonomous Vehicle Adoption Intention in Thailand: An Integrated HBM–TPB Framework Using Structural Equation Modeling – Under Review.
Research Impact
The research impact of Miss. Jarinya Chaiwiset can be evaluated through the relevance of her research topics, the quality of publication venues, and the practical implications of her findings. Her studies address transportation challenges that are increasingly important in the context of rapid technological transformation, smart infrastructure development, and sustainable mobility planning.
By focusing on technology acceptance and behavioral responses, her research provides valuable information for policymakers, transportation authorities, and infrastructure planners. Understanding public acceptance is essential for the successful implementation of intelligent transportation systems, automated mobility technologies, and traffic enforcement programs. Consequently, her work contributes to evidence-based decision-making and supports the development of transportation strategies that align with user needs and societal expectations.
Her methodological approach also strengthens the impact of her research. The integration of established behavioral theories with advanced statistical analysis enhances the reliability and applicability of research findings. Such approaches facilitate interdisciplinary collaboration and encourage the adoption of robust analytical methods within transportation research.
The potential future impact of her work is substantial, particularly as transportation systems increasingly incorporate digital technologies, automation, and data-driven management solutions. Her research provides foundational knowledge that can support future studies, policy development, and practical implementation efforts in intelligent transportation systems and sustainable mobility initiatives.
Award Suitability
Miss. Jarinya Chaiwiset demonstrates many of the characteristics associated with recipients of the Research Excellence Award. Her academic achievements, research productivity, and commitment to advancing transportation knowledge reflect a strong foundation of scholarly excellence. The combination of doctoral-level research, international academic experience, and professional engineering practice contributes to a comprehensive and impactful research profile.
Her scholarly output addresses significant transportation challenges and contributes to the understanding of technology adoption, road safety behavior, and intelligent transportation systems. The publication of peer-reviewed research and the development of additional studies under review indicate ongoing engagement with the scientific community and a sustained commitment to knowledge generation.
The quality of her research is reflected in the application of rigorous theoretical frameworks, advanced analytical methods, and practical transportation contexts. Her investigations produce findings that are relevant not only to academic audiences but also to policymakers, engineers, and transportation practitioners.
Furthermore, her leadership as first and corresponding author demonstrates independent research capability and scholarly initiative. These attributes support her suitability for recognition through the Research Excellence Award and highlight her potential for continued contributions to transportation science and engineering.
Conclusion
Miss. Jarinya Chaiwiset has developed a distinguished research profile within transportation engineering, logistics systems, intelligent transportation technologies, and road safety studies. Her academic accomplishments, interdisciplinary expertise, and commitment to research excellence have contributed to the advancement of knowledge concerning transportation technology adoption and behavioral analysis.
Through peer-reviewed publications, innovative methodological applications, and professional engineering experience, she has demonstrated the capacity to address complex transportation challenges and generate evidence-based solutions. Her work supports the development of safer, more efficient, and technologically advanced transportation systems while contributing to broader discussions concerning sustainable mobility and smart infrastructure.
Recognition through the Research Excellence Award reflects the scholarly significance of her contributions and acknowledges her continuing role in advancing transportation research, engineering innovation, and scientific understanding.
External Links
References
Chaiwiset, J., Ratanavaraha, V., & Jomnonkwao, S. Understanding Driver Acceptance of Red-Light Cameras in Thailand: Testing an Integrated HBM-TPB Model Using Structural Equation Modeling. Frontiers in Built Environment.
Chaiwiset, J., Ratanavaraha, V., & Jomnonkwao, S. Driver Acceptance of Advanced Traffic Management Systems: An Integrated TAM-TRI Analysis of M-Flow in Thailand Using Structural Equation Modeling. Infrastructures
Chaiwiset, J., Ratanavaraha, V., & Jomnonkwao, S. Safety-Risk Cognition and Autonomous Vehicle Adoption Intention in Thailand: An Integrated HBM–TPB Framework Using Structural Equation Modeling. Infrastructures