| Title |
Identifying Street Network-Based Shared E-Scooter Activity Areas and Their Urban Form Characteristics |
| Authors |
제효연(Je, Hyoyeon) ; 박소현(Park, Sohyun) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.9.269 |
| Keywords |
Street Network; Activity Area; Urban Form; Built Environment; Shared E-Scooter; GPS Trajectory; Provincial Downtown |
| Abstract |
This study investigates where shared e-scooter use concentrates along an urban street network and how such high-use areas are shaped by
urban form and local context, using a provincial downtown in Andong, South Korea, as a case study. Based on GPS e-scooter trajectories,
street network data, and multiple spatial datasets, the analysis proceeds in three steps: first, identifying the citywide distribution and intensity
of e-scooter use by street segment; second, delineating connected high-use activity areas formed by cumulatively linking high-intensity streets;
and third, interpreting the urban form characteristics of these areas across four dimensions?size, facilities, network, and structure?through
comparison with lower-use areas. The results show that shared e-scooter use concentrates within street networks inside core daily living areas,
yet the spatial form of these areas varies substantially by local context. While high-use areas commonly exhibit sufficient activity population
density and a coexistence of residential functions and everyday facilities, no consistent network hierarchy or structural pattern explains their
formation. Instead, e-scooter activity areas reflect locally embedded daily mobility demands rather than having a universal urban morphological
logic. These findings suggest that shared micromobility practice should better account for its contextual flexibility across various daily living
environments through street-network-based activity-area monitoring. |