Exploring the Underlying Barriers to the Adoption of Intelligent Highway Transportation Systems: A Study from Ghana
Abstract
Adoption of intelligent highway transportation systems (ITS) is increasingly gaining wide acceptance among many countries due to their contribution to decongesting cities, combating climate change, and promoting quality of life, among others. However, the level of ITS adoption cannot be said to be the same in Ghana, and there is a dearth of studies that empirically investigated the barriers to ITS adoption in Ghana. This current study aimed to establish the critical barriers to the adoption of intelligent highway transportation systems (ITS) in Ghana. Structured questionnaire aided data collection from 182 respondents. Thirty-nine (39) barriers were identified and principal component analysis further organized the barriers into five (5): economic and institutional capacity barriers (0.8006); energy and system reliability barriers (0.8001); resource barriers (0.7813); facilitation condition barriers (0.7783); and social barriers (0.7194), with economic and institutional capacity barriers and energy and system reliability barriers being unique to the study in Ghana. Empirically, the study unravelled five main coherent barriers to ITS adoption in Ghana, which hither to was largely absent in existing literature. This will guide transport authorities, academics, policymakers, and industry stakeholders in eliminating the barriers to ITS adoption in Ghana from multi-stakeholders’ approach. Effectively eliminating the identified barriers can lead to the successful adoption of ITS in Ghana, which has potentials to reduce traffic congestion and reduce fuel consumption, contributing to attaining Sustainable Development Goal (SDG)11: sustainable cities and communities, and combating climate change, SDG 13: Climate Action.
Keywords: Air Quality, Carbon Emission, Ghana, Smart Cities, and Sustainability
DOI: 10.54941/ahfe1007216
Cite this paper
More from this volume
- Teaching Multimodal Interaction in Cars to First-time Users
- On Immersivity of Transmitted Spatial Sounds for Human-Machine Interaction
- Human-Centered optimization through Digital Twins, and Motion Capture Technologies of a manual activity in the logistics sector
- Exploring Empathy for Emotion-Aware Vehicles: How Should a Car Respond?
- Enhancing Usability in Crisis Management Training: Evaluation of the Virtual Reality-Based Situational Awareness Table
- Formal Verification for Human-Centred Trust in AI: A Critical Examination of Current Paradigms
- Designing Inclusive Mobile Government Services in the Middle East: A User Experience–Centered Framework
- Capturing Food Culture for Adaptive AI: Generative Insights from a Multimodal Profiling Study
- A methodical approach to AI-supported human learning in complex task environments
- Glossary as a Compass: Domain Knowledge Artifacts in Human-Centered AI Development
- Fiscolab: Co-Creation, Artificial Intelligence, and User-Centered Design in the Development of Educational Fiscal Solutions
- Thinking With AI: Human–AI Interaction and Critical Thinking in Scenario-Based Learning


AHFE Open Access