Pardon me but your e-scooter is in my space: Evaluating the effectiveness of e-scooters parking policies through big data analytics

• Effective policy for shared e-scooter parking needs further exploration. • Corral-based policy is explored via big-data analytics of Tel-Aviv case. • Clutter framework is suggested. • Success measures, common pitfalls, and recurring patterns are demonstrated. • Policies for monitoring, redistribution, resilience and space utilization are offered. The growing popularity of shared e-scooters promises to enhance the mobility of urban dwellers in an environmentally friendly manner. On the other hand, e-scooters may potentially pose a risk to other road users, particularly pedestrians, and improperly parked vehicles may hinder accessibility. Therefore, to advance the goals of sustainability and mobility, cities should consider how street space should be managed for all travelers. One policy for shared e-scooter parking control is to limit parking to designated corrals. Corral-based parking policies have been adopted by many municipalities, with limited reports on effectiveness. This study provides an in-depth exploration of such policy deployment, governing the highly utilized services offered in the city of Tel-Aviv. By using our suggested framework and big-data spatio-temporal analytics of e-scooters data, we outline success measures, common pitfalls, and demonstrate city-wide patterns and location-specific results. Our discussion offers policy improvement suggestions, addressing design and policies, including corral-centered monitoring, redistribution policy, resilience estimation, and better space utilization. These could benefit municipalities, operators, and monitoring tools suppliers.