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.
Original language | English |
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Article number | 103376 |
Number of pages | 13 |
Journal | Transportation Research Part D: Transport and Environment |
Volume | 109 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Keywords
- Bike Sharing
- Electric scooters
- Metro stations
- Micro-mobility
- Mode choice
- Taxis