Investigating e-scooters idle time patterns: A survival analysis approach to understand availability

Key Points

• E-scooters show significant idle time patterns, affecting overall availability.
• Key metrics indicate that certain locations have higher idle times, impacting service efficiency.
• Survival analysis method employed to assess patterns over various timeframes and locations.
• Results highlight the need for strategies to optimize e-scooter availability, enhancing urban mobility.