Nowadays, pricing strategies for insured clients are supported on general statistics and driver personnel conditions (historic driver activity, age, gender, and address). Cutting-edge technologies such as IoT, AI, and big data have converted current vehicles on a plethora of available real-world and real-time data, leading to novel alternatives of car insurance policies and services such as personalized enhanced products based on their driving profile and evolved services related to the insured context, driver profile, environment, etc. like fraud detection and accident resolution.
When different levels of government coexist in the same country, it is often imperative to implement an ‘objective’ system for transferring funds automatically among them. With the method presented in this paper one may address the question of how the relative need of public services, and therefore the allocation of funds, may be estimated for different communities. It is based on the idea of comparing the access to the public services in every community, through the use of a statistical treatment in which a set of indicators are aggregated into an indicator of need, which is used to allocate funds in order to reach ‘equal access’. The method is then applied to the case of Spain.
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