Effects of Electric Scooter Sharing on Users’ Travel Behavior and Urban Mobility Patterns

Electric scooter sharing has emerged as a promising and environmentally friendly alternative for short-distance urban mobility. This research paper aims to analyze the travel patterns and accessibility impacts of electric scooter sharing in low-income neighborhoods of Chicago. Geographic information system (GIS) was used to conduct a spatial analysis of scooter sharing station locations, transportation infrastructure, and socio-economic indicators. The methodology involves data collection on scooter sharing station locations and socio-economic factors, followed by travel pattern analysis. Thematic maps are created to visualize the spatial distribution of scooter sharing stations and identify gaps in service coverage. Network analysis tools are used to assess the accessibility of scooter sharing services in relation to public transit stops and essential destinations. Statistical modeling is employed to evaluate the relationship between scooter sharing adoption and socio-economic factors in low-income neighborhoods. The results reveal insights into travel patterns and accessibility impacts, indicating areas of high scooter sharing demand and potential expansion opportunities in underserved communities.