Connecting metros with shared electric scooters: Comparisons with shared bikes and taxis. (August 2022)

• Record Type: Journal Article
• Authors: Ma, Qingyu; Xin, Yanan; Yang, Hong; Xie, Kun
• Is Part Of: Transportation research. Volume 109(2022)
• Publication Date: 2022-08
• Subjects: Electric scooters -- Micro-mobility -- Mode choice -- Bike Sharing -- Taxis -- Metro stations; Transportation -- Research -- Periodicals; Transportation -- Environmental aspects -- Periodicals; 354.76
• DOI: 10.1016/j.trd.2022.103376
• Languages: English
• ISSNs: 1361-9209

Abstract

Abstract: The rapid rise of shared electric scooter (E-Scooter) systems offers urban areas a new micro-mobility solution. The focus on short-distance travel has made it a competitive option for addressing first-/last-mile travel needs. Nevertheless, its role as a first-/last-mile solution was understudied due to the lack of fine-grained trip data. This study aims at exploring the integration of shared E-Scooters with public transportation systems. Specifically, it compared the use of shared E-Scooters against shared bikes and taxis for connecting trips from/to metro stations. We analyzed massive amounts of trip-related data extracted through APIs. Multinomial logistic regression models were developed to uncover how the mode choices from/to metro stations vary in different contexts. The results show that the use of shared E-Scooters to connect trips from/to metro stations can be notably different from shared bikes and taxis. The preference of shared E-Scooters will vary depending on the land use and time period.