The Covid-19 epidemic has brought into sharp focus the need for the emergency services to have resilience plans in place if they need to maintain incident response with significantly reduced capacity.
The Police Resilience Model combines the calculated resource requirement from Response Profiler with the Force’s resourcing data to generate an understanding of how the future resourcing position compares to the projected demand. The model accounts for differences in regional geography by displaying both Force level and by individual BCUs.
Resourcing thresholds are categorised using the following terminology:
Critical – only having sufficient resources to deal with just the Incident attendances, with allowance for safety margin / timely manner
Sustainable – Number of staff required to process the work (including Other Tasks) but with no allowance for safety margin or timely manner
Desired – Number of staff required overall to process all work and include an allowance for safety/timely response
Over Desired – The category when there are more staff than the desired level but less than Over Staffed
Over Staffed – When resources are substantially more than the workload requirement
Response Resilience Model Dashboard
The dashboard below is a simplified version of what a Force would see; giving users the ability to focus on particular shifts, while also comparing the position for a more extensive period.
By changing the dates and shift parameter, the dashboard views will update to show the details for a particular shift. For example, the Early shift on 2nd April in which 2 of the BCUs are Over Staffed while Eastern and Western sit at Sustainable. Here there would be a case to look to move some resources from the BCUs with surpluses to help those currently sat as sustainable.
The Covid-19 epidemic has brought a greater focus on Resilience Modelling within Police Forces. There is a need to combine the professional judgement of Senior Officers with to flexible analytical tools enable evidence-based decision making. We hope that this article has helped to provide greater clarity of the Response Resilience Modelling and how it can be used.
For further information on our Response Resilience Model, please email email@example.com