This study is aimed at assessing the status and prospects of the intelligent transport system (ITS) supply in Addis Ababa. It uses a mixed method approach, and data are collected from primary and secondary sources, which include survey questions, interviews and literature reviews. Simple random and purposive sampling were employed to select passengers and interviewees, respectively. SPSS 23 and NVivo 14 software were used for analysis. Binary logistic regression was employed to measure the effects of age, prior awareness of intelligent transport systems and income on ITS use. This study has identified opportunities, challenges and strategies of ITS adoption. It analyzes the advantages of ITSs, such as service reliability, accountability, safety and improved revenue generation. The study highlighted the challenges in ITS adoption, such as the absence of sustainable financing mechanism, skill gaps, digital connectivity failure, institutional fragmentation, the absence of coordinating institution and leading policy. The study has identified strategies to address these challenges, including the introduction of proper ITS policy, the devising of sustainable finance sources, improvements in digital connectivity, skill training and institutional integration. This study contributes by bridging the global framework and local reality through data-driven context sensitive road maps for integrating ITS technology in the management of public transport supply in Addis Ababa.
Solomon et al. (Wed,) studied this question.