The proliferation of bodaboda (motorcycle taxi) services has significantly transformed Nairobi's urban transport, yet it has also introduced complex security challenges. Riders are often both victims and perpetrators of crime, a duality that has been underexplored. This research investigated the intricate relationship between bodaboda riders’ mobility patterns, peer network dynamics, and urban insecurity. It addresses a critical gap in the existing literature by providing a data-driven analysis that moves beyond broad generalizations. The study's primary objectives were: 1) to map the mobility patterns of bodaboda riders and identify correlations with spatial and temporal crime data; 2) to analyze the structure and dynamics of their peer networks and their role in influencing security outcomes; and 3) to develop a community-based security framework that leverages peer cohesion and data-driven insights. The study employed a purposive sampling strategy, selecting 100 police officers from various departments in Nairobi City County due to their direct, firsthand experience with bodaboda-related security issues. Data was collected using a structured questionnaire that combined closed-ended and open-ended questions to gather both quantitative and qualitative insights. The impressive 99% response rate highlights the relevance and urgency of the topic. The collected data was analyzed using descriptive statistics and thematic analysis. The findings were compelling and provided clear evidence for the study's hypotheses. First, the analysis revealed a strong correlation between bodaboda mobility and crime hotspots. Police officers reported that the riders' ability to navigate congested areas and access informal settlements makes them a preferred tool for criminals seeking a quick getaway. Crime incidents were found to peak between 6:00 PM and 10:00 PM and were concentrated in areas like the Central Business District and informal settlements. The findings also highlighted the dual role of riders as both perpetrators and frequent victims of crime, particularly motorcycle theft. Second, the research confirmed that bodaboda peer networks are highly influential, acting as a double-edged sword. While these networks can facilitate negative behaviours like mob justice and evasion of law enforcement, they also have significant positive potential for sharing real-time security alerts and promoting collective safety. Officers noted the lack of a formal liaison mechanism as a major impediment to harnessing this potential. Third, the study found a strong endorsement from police officers for a community-based security framework, with an overwhelming 92% agreeing that traditional policing methods are insufficient. Based on these findings, the study puts forth three key recommendations. First, the government should implement a centralized, biometric-based registration and data-mapping system for all riders to enhance accountability and intelligence-led policing. Second, the police should establish formal, structured partnerships with bodaboda associations to build trust and leverage peer networks for security intelligence. Finally, a technology-driven, community-based security framework should be developed, such as a mobile app that allows riders to report incidents and receive real-time alerts. These recommendations aim to transform the bodaboda sector from a security challenge into a collaborative partner in enhancing urban safety.