Enhancing emergency response efficiency through advanced urban logistics: The role of driver psychophysiology and vehicle dynamics in mitigating socio-economic impacts

Abstract

Urban emergencies, such as natural disasters and public safety incidents, demand rapid and effective response strategies to mitigate their significant socio-economic impacts. This paper explores the complex interplay between urban logistics and the operational efficiency of emergency services, focusing on the critical roles of driver psychophysiology and vehicle dynamics. We conducted a comprehensive study analysing the movement patterns of emergency response vehicles in urban settings, taking into account factors such as vehicle speed variations, route parameters, and the psychophysiological states of drivers. Utilising regression models and physiological assessments, we developed predictive models that link these factors to emergency response times. The findings indicate that the speed and efficiency of emergency responses are significantly influenced by the drivers’ conditions, highlighting the importance of psychophysiological readiness in emergency operations. By integrating quantitative and qualitative methodologies, this research not only enhances our understanding of these dynamics but also provides actionable strategies to improve the efficacy of emergency services. The outcomes of this study have practical implications for policy formulation and the operational structuring of emergency units, emphasising the need for strategic planning that incorporates driver welfare and advanced logistics management. This work lays a foundation for future research aimed at integrating real-time data analytics and sophisticated routing algorithms to further refine emergency response mechanisms in urban environments.