Quantifying Visual Pollution from Urban Air Mobility

Unmanned aerial vehicles (UAVs) can bring many benefits, particularly in emergency response and disaster management. However, they also induce negative effects, such as noise visual pollution, risk, integrity concerns. In this work, we study developing a quantitative measure that calculate the pollution from one or multiple UAVs. First, Analytic Hierarchy Process was utilized an expert workshop to find rank factors relevant pollution. Then image-based questionnaire targeted at general public used relations between factors. The results show two main causing are number of UAVs distance UAV observer. They while for medical services is polluting any other UAV, it easier tolerate Based on results, functions were developed be when carrying out path planning When combining function with existing measures ground air possible paths will give little impact urban mobility.