Academic context
RAI-Next is suitable for university and research workflows that need transparent methods, country profiles, index comparison, and clear metadata.
About
RAI-Next is designed as an academic observatory for exploring how rural populations connect to services, opportunities, and infrastructure.
The platform presents a modern web interface for a future global Rural Accessibility Index that combines road-network distance calculations, rural population weighting, open service-location data, and dimension-level scoring.
RAI-Next is suitable for university and research workflows that need transparent methods, country profiles, index comparison, and clear metadata.
188 complete country results are ranked; 5 partial results are excluded from rankings.
Meet the researchers and institutions contributing to RAI-Next.
Principal Investigator (PI)
Istanbul University
Assistant Professor at Istanbul University specializing in transportation engineering. He has academic and field experience in public transportation, autonomous vehicles, and transportation planning, with expertise in managing large-scale research projects.
akif.fidanoglu@istanbul.edu.trAcademic profileData Analysis & Survey Specialist (DASS)
Istanbul University
Assistant Professor at Istanbul University with a background in statistics, logistics, and intelligent transport systems. Former Statistician at TurkStat, skilled in data modeling and survey design.
salih.ozcelik@istanbul.edu.trAcademic profileAcademic Researcher (AR)
Istanbul University
Assistant Professor at Istanbul University with expertise in road transport, aviation, and smart mobility. His research supports policy recommendations through comparative analysis and technology-integrated transport planning.
huseyinkorkmaz@istanbul.edu.trAcademic profile