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London pre-covid19 average retail occupancy is higher than 90%.Īccording to the EIXOS / MIT model, in a low impact hypothesis the average retail occupancy drops down to 70%. Less than 90% occupancy scenarios are to avoid. Occupancy, a key aspect to monitorize retail health, is specially critical in this highly-optimized model. White dots: essential retail stores that opened during the covid19 lockdown.  In high density retail areas, like Barcelona, there’re between 3-4 retail stores per 100 inhabitants. In London there are between 1-2 retail stores per 100 inhabitants. The ratio of retail stores per inhabitant also confirms the low density model. In London, with a very different urban model, there are less than 200 retail stores / km2. When EIXOS mapped Manhattan, we found up to 700 retail stores / km2. That’s what we call the “retail in a road” alignment. Retail stores align along the main streets, interurban roads. London has a retail infrastructure optimized to cover huge areas of low density housing. London Urban Model: Retail in a Road in a Garden City From those, hotels & restaurants are the activities that will take the highest loss. In order to evaluate the impact of covid19 lockdown & social distancing rules on London retail, all the retail stores in a 500 km2 area were mapped, that includes more than 60,000 retail spaces and 15 boroughs in it, at both sides of Thames.Īccording to our risk assessment model, the impact on London economic activities will be high, even in the more optimistic hypotheses.Īlmost between a third and more than a half of London small businesses could close as a consequence of covid19 impact.

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