Ergonomic Analysis of Driver Postures on Electric Scooter

Abstract

Micromobility includes light vehicles such as electric scooters, bicycles, electric bicycles. It is becoming more and more common in cities, both because it is easier to apply and to reach a certain place faster. Micro vehicles produce a small amount of exhaust gases and emit low noise levels. They are characterized by the fact that they represent the best mode of transport on short distances. Their use reduces the load on the lumbar spine in relation to motor vehicles, but still has a measurable impact on oscillatory comfort. In this paper an electric scooter in the CatiaV5 R18 software package was modelled and RULA (Rapid Upper Limb Assessment) package was used for human body load investigations. The influence of the anthropometric data of ten digital human models (five male and five female) on human body load were analysed. The body load was examined in driving conditions. The results showed that the obtained values of body load were different between subjects as well as their body parts.