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

Abstract: 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. The
study uses ArcGIS, Geographic Information System (GIS) software, to conduct a spatial analysis
of scooter sharing station locations, transportation infrastructure, and socio-economic indicators
in the selected neighborhoods. The methodology involves data collection on scooter sharing
station locations and socio-economic factors, followed by travel pattern analysis using ArcGIS.
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. The research highlights the potential of
electric scooter sharing to complement public transit, reduce greenhouse gas emissions, and
enhance last-mile connectivity. Safety concerns and regulatory frameworks are discussed as
challenges, and the importance of comprehensive policy frameworks to ensure safe and equitable
integration of electric scooter sharing services is emphasized. This study’s findings provide
valuable insights for policymakers, urban planners, and electric scooter sharing operators to
promote sustainable and equitable urban mobility solutions for low-income neighborhoods in
Chicago.
Keywords: Electric Scooter Sharing, Travel Behavior, Mobility, Lime, Bird, Spin