Page 21 - Insurance Times April 2022
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mileage expected to be covered within a year. Also, the  by drivers, act as the main data source for the
             outline of use helps in establishing the level of associated  aforementioned parameters, sending all necessary
             risk.                                            information in a central database via the mobile network.
                                                              This method encourages prudent driving behaviour and
         7. Particulars of the motor: This mainly includes the type,
             the associated value and the age of the motor vehicle.  incentivizes customers to improve their driving performance.
         8. Added safety features: To ensure the safety of the motor
                                                              UBI has gained traction as a result of its potential to generate
             vehicle and prevent theft or break-ins. These include gear  substantial benefits, including:
             lock, wheel lock, alarm system, anti-hijacking.
                                                              Y  40% reduction in claims cost
         Although all the above-listed factors did have their impact on  Y  40% reduction in policy administration cost
         the risk profile of the vehicle and owner, in reality only the  Y  More effective policy pricing
         make/model and the capacity were use invariably. This is
                                                              Y  Substantially lower acquisition costs
         because insurers were always at an informational
                                                              (Source- EY Global)
         disadvantage as information is not always reliable and
         complete and getting real-time data/feedback on all those
                                                              Generally, the major driving indicators used for evaluating
         listed variables was also not possible. However, with the
         telematics, machine-learning and artificial intelligence in  the driving risk of an individual are shown below in Table 1.
         place, it is now possible to get a meaningful inference out of  Exposure-based Insurance  Behaviour-based
         the dependable data generated and a risk profile of the  (PAYD)                 Insurance (PHYD)
         vehicle/owner.                                        Total distance driven by the  Speeding expressed either
                                                               user (the higher the mileage as a percentage of
         Usage-based Underwriting (UBI)                        the higher the risk)      kilometres/time driving
         UBI is the evolution of a premium calculation system that                       over the speed limit or a
         sprung from the demand for reliable models able to associate                    percentage of speeding
         the driving risk with driving exposure based on the exposure  Road network type  Harsh acceleration or
         and/or the behavioural characteristics during driving. The  (increased frequency of  braking
         present policy pricing system around the world is unfair and  accidents in the cities,
         inefficient as drivers with similar characteristics such as age,  increased accident severity
         gender, marital status, accident record, which are considered  outside)
         during underwriting, pay roughly the same premiums    Risky hours driving       Driver’s accident history
         regardless of how many kilometres they drive a year.  (increased accident       (severity and the
                                                               frequency during a        circumstances of the
         This system of pricing policy motivates drivers to cover more  particular range of hours)  accident)
         distance annually while also not penalizing aggressive driving  Trip frequency (a driver is  Seatbelt use
         behaviour. In general, based on driving behaviour, drivers’  more likely to cause an
         probability of accident involvement could be assessed and
                                                               accident during an
         assigned. In the view of the fact that the accident likelihood  infrequent trip)
         isn’t uniform across the entire population of drivers, charging
                                                               Vehicle type              Mobile phone use
         all drivers a lump sum is simply unfair.
                                                              Table 1 (Source- Innovative insurance schemes: pay as/how
         Usage-Based Insurance policy comprises of Pay-As-You-Drive  you drive Dimitrios I. Tselentis, George Yannis , Eleni I.
         Systems (PAYD) and Pay-How-You-Drive (PHYD). PAYD system  Vlahogianni)
         focuses on exposure to risk and uses characteristics such as
         total distance driven and the route used, to set premiums  The PHYD concept is not thoroughly examined and far less
         while PHYD is predicated on individual driving behaviour and  implemented but since premium calculation in PHYD is based
         measuring parameters such as speed, mobile phone use, hard  on the evaluation of driving behaviour of the user, it leads to
         braking, etc. Automotive diagnostic systems, OBD (On-Board  a more realistic assessment of the risk than PAYD approach
         Diagnostics), installed in the vehicle or the Smartphone held  does and is thus regarded as the best performing model.


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