INFORMATION SHARING FOR THE IDENTIFICATION OF ROAD TRANSPORT ACCIDENT VICTIMS BY NATIONAL UNION OF ROAD TRANSPORT WORKERS AND FEDERAL ROAD SAFETY CORPS IN KWARA STATE, NIGERIA
This study investigates the factors affecting information sharing for the identification of road transport accident victims by the National Union of Road Transport Workers (NURTW) and the Federal Road Safety Corps (FRSC) in Kwara State, Nigeria. The study specifically aims to assess the effectiveness of inter-agency collaboration, evaluate the accuracy and timeliness of shared information, and identify the challenges hindering effective data exchange between the two organisations. A quantitative research methodology was employed using a cross-sectional survey design to objectively analyze measurable variables across the three senatorial zones of the state. A multistage random sampling technique was applied to select 485 respondents from a total population of 2,954 staff members of both agencies. The findings revealed that although collaboration between NURTW and FRSC is generally perceived as beneficial, it is hindered by poorly defined roles, weak communication systems, and ineffective use of shared information. Incomplete records and the destruction of vital data during accidents were also identified as major challenges. These issues reflect broader structural and procedural shortcomings that compromise timely and accurate victim identification. Based on the findings, the study recommends the development of formal collaboration protocols, adoption of digital data systems, and establishment of joint operational frameworks to enhance inter-agency coordination and road accident response in Kwara State.
Authors
- Mohammed Danjuma (ORCID: https://orcid.org/0000-0002-3721-2408)
- Ahmed Hassana Kudirat
- Abimaje Israel Ochai
Institutions
- The Federal Polytechnic, Ado-Ekiti (NG)
- U.S. Air Force Institute of Technology (US)
Publication Details
- Journal
- FUGUS International Journal of Library and information Science.
- Published
- 2025-09-20
- DOI
- https://doi.org/10.57233/fijlis.v2i1.08
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00