This study examines the service areas provided by Voi, Lime and Ryde in Uppsala City, by analyzing how demographic, infrastructural, and environmental factors at cadastral parcel level associate with their coverage. A generalized linear mixed model (GLMM) was applied to understand the association between the service areas of the operators and different independent variables at cadastral parcel level. The independent variables include population (ages 20-44), median income, distance to city center, street slope, public transport accessibility, and the presence of facilities, while neighborhood information was included as a random effect to capture area-specific variations. The results indicate that all three operators are significantly more likely to operate in areas closer to the city center and in areas with lower street slopes. Voi and Ryde show positive associations with population, whereas Lime’s coverage is less associated with population. Income shows a negative association for Lime and Ryde but remains neutral for Voi. Parcels with lower public transport accessibility are less likely to be served by all three operators. Additionally, the presence of facilities shows a slight positive association with Voi’s service areas, while it remains insignificant for Lime and Ryde. As a conclusion, the results of this study could potentially provide helpful information to help create regulations for a more inclusive service areas of e-scooter.