Highlights A methodology for predicting scooter-share replacement of car sharing trips is developed. The specified model is based on a Stated Preference survey conducted in Munich. Travel time, travel cost, weather, scooter accident risk, and gender were the most significant attributes. More than 1620 scenarios with different input parameters were simulated. A sensitivity analysis highlights the best-case scenario for scooter-sharing attraction.
Abstract Scooter–sharing has recently emerged as the newest trend in shared–mobility and micro–mobility; electric standing scooters are seen on the streets of major cities and are perceived as a fun, convenient mode of transport. However, there are also concerns regarding scooter safety, riding, and parking regulations. A motivation is to understand the impacts of scooters and their potential to disrupt existing systems. In this paper, the shift from carsharing to scooter–sharing is of particular interest. A stated preference survey targeting young individuals (18–34 years old) conducted in Munich was used to estimate a choice model between carsharing and scooter–sharing. The model was then applied to scenarios developed based on trip characteristics of a carsharing dataset. The model shift was then estimated for the scenarios, followed by a sensitivity analysis. In the best–case scenario, scooters were found to attract about 23% of carsharing demand.
Are young users willing to shift from carsharing to scooter–sharing?
2021-01-01
Article (Journal)
Electronic Resource
English
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