Road safety as a complex adaptive system: lessons from system mapping

Global progress in road safety has stalled despite decades of evidence-based interventions. The United Nations Decade of Action for Road Safety (2011–2020) failed to meet its target of halving deaths, prompting renewed calls for action. Road safety continues to be addressed through linear, single-factor approaches focused on behaviour, enforcement or technologies, yet these strategies struggle to achieve sustained population-level impact in a system shaped by interacting forces across transport planning, vehicle design, governance, culture and inequality. We argue that road safety should be understood and managed as a complex adaptive system. Drawing on systems science and the UK Foresight obesity system mapping programme, we propose system mapping as a practical, non-predictive method to reveal feedback loops, lock-ins and leverage points often missed by policy processes focused on isolated interventions. Systematic review evidence indicates that narrow approaches to individual risk factors or predictive analytics are limited when wider determinants are not addressed. Systems methods, including causal loop diagrams, participatory system mapping and system dynamics, can complement Safe System policy frameworks by translating broad principles into context-sensitive analysis of mechanisms, trade-offs and implementation risks. Reframing road safety in this way shifts attention from individual behaviour to system design, supports adaptive management and emphasises equity. System mapping is not a panacea, but it can recalibrate how problems are defined and where solutions are sought. Background Global progress in road safety has stalled despite decades of evidence-based interventions. The United Nations Decade of Action for Road Safety (2011–2020) failed to meet its target of halving deaths, prompting renewed calls for action. Road safety continues to be addressed through linear, single-factor approaches focused on behaviour, enforcement or technologies. These strategies struggle to achieve sustained population-level impact in a system shaped by interacting forces across transport planning, vehicle design, governance, culture and inequality. Problem Approach We argue that road safety should be understood and managed as a complex adaptive system. Drawing on systems science and the UK Foresight obesity system mapping programme, we propose system mapping as a practical non-predictive method to reveal feedback loops, lock-ins and leverage points missed by policy processes focused on isolated interventions. Findings Systematic review evidence indicates that focusing narrowly on individual risk factors, such as helmet use or predictive analytics in isolation, limits effectiveness when wider determinants, including infrastructure design, speed regimes and governance arrangements, are not addressed. Systems methods, including causal loop diagrams, participatory system mapping and system dynamics, can complement Safe System policy frameworks by translating broad principles into context-sensitive analysis of mechanisms, trade-offs and implementation risks. Implications Reframing road safety shifts attention from individual behaviour to system design, supports adaptive management and emphasises equity. Conclusion System mapping is not a panacea, but it can recalibrate how problems are defined and where solutions are sought. Treating road safety as a system is essential for meaningful and sustained harm reduction.