AGILE PATTERNS: EVALUATING E-SCOOTERS' CONTRIBUTION TOWARDS URBAN MOBILITY

The rising popularity of dockless shared e-scooters is creating opportunities for better accessibility and sustainability, accompanied by safety and impact concerns. To control the phenomena, municipalities test-trial operations and experiment with different policy tools, using information systems to collect data of vehicles location and state. This presents an opportunity to examine city wide impacts, if analyzed over time and space. Using the successful Tel Aviv case study we conducted spatio-temporal analysis of data since 2020, addressing patterns of emergence, assessing mobility contribution in relation to other transportation modes, and exploring e-scooters usage adaptation during times of crisis. We concluded that short trials fail to capture the mode potential; similar data gathering and analysis can support decision-making to adapt policy to self-emerging patterns; depending on city particulars, e-scooters can improve mobility by complementing public-transportation shortfalls at multiple time scales; and in crisis time, their agile redeployment can supply alternative just-in-time solutions.