Dr Julie Gandolfi of Driving Research Ltd is a specialist in behavioural driver risk management, using integrated data analysis to identify the key human factors contributing to driver risk and developing targeted strategies to proactively mitigate the risks identified.
TRIANGULATE
Triangulating a range of data sources provides insight into the general risk of a fleet and the relative risk of individual drivers within it.
OPTIMISE
Data sources typically include telematics data, incident records, drivers’ situational data, etc. It is essential that risk control analyses are based on good quality data, so each source is assessed for clarity, consistency and relevance. Where necessary, further investigation into the nature of a parameter is sought, for example identifying how an aggregated driver score provided by a telematics system is calculated. This process can be implemented as part of development or selection of new systems or applied to existing databases to ensure full clarity and data optimisation thus facilitating a robust and dynamic behavioural risk control process.
CONTEXTUALISE
A combination of dynamic telematics data in the context of static situational data provides an objective assessment of the relative risk of each driver. Adding psychometric data to the analysis provides insight into the underlying behavioural factors affecting their decision making, allowing interventions to be targeted specifically to their behavioural profile.
MONITOR
Calibrating the data sources and applying effective monitoring of the behavioural risk landscape allows drivers to be identified for targeted risk control measures in a proactive manner, which contributes to a positive safety culture by avoiding the perception that interventions only take place on a punitive basis.
TARGET
In order to achieve effective behavioural risk control, a proactive approach is required, identifying drivers whose risk levels are increasing in order to intervene before a serious incident occurs, rather than reacting retrospectively.
SUPPORT
Using psychometric profiling supports drivers in developing self-awareness of how their personality traits, belief systems and personal experiences shape their reactions to traffic situations, which in turn determines their telematics profile and crash risk. Equipping them with enhanced understanding of their own behavioural risk supports them in implementing self-evaluation processes create more rational and informed decision making and in turn produce safer driving decisions.
EMBED
In order maximise effectiveness, behavioural change processes must take place within a positive safety culture. Dr Gandolfi can advise on adjustments to policy and practice to improve the way drivers perceive the relationship between themselves and the organisational safety leadership and embed an enhanced safety culture.