User Behavior of E-Scooter Sharing During the First month of the Service: A Case Study of Chulalongkorn University
Keywords:
E-Scooter Sharing, Micro Mobility, Travel Behaviors, Logistic Regression AnalysisAbstract
Chulalongkorn University (CU) and the Property Management of Chulalongkorn University (PMCU) encourage sustainable, pollution-free commuting under the Sam Yan Smart City project by providing E-scooters for rent in the areas of Chulalongkorn University, Siam Square, Suan Luang, and Sam Yan since September 2022, which is a new form of transportation. This research focuses on the importance of travel behavior safety when traveling on a shared E-scooter. Therefore, a study was conducted on user behavior of E-scooter sharing during the first month of service. Moreover, logistic regression analysis is used to develop a model to forecast E-scooter sharing usage, with the data collected using online questionnaires and feedback received from 332 respondents. The statistical analysis found that 70% of E-scooter sharing users had at least one experience. At around 21.5%, E-scooter sharing users were most active between 4 - 6 p.m., and more than 97% preferred to ride on the road. In addition, it was found that 14.57% of E-scooter sharing users had an accident when riding a shared E-scooter. The findings indicate that two factors influence E-scooter sharing usage: gender and trip purpose. The findings of this study can serve as guidelines for improving service provision and continuing to issue safety regulations for the use of E-scooter sharing.