Highlights This paper analyzed E-scooter usage and leisure activity pattern in Austin, Texas. E-scooter usage were correlated with dining and drinking, shopping, and recreation activities. Higher scooter-leisure visit correlation clustered in downtown and university campus. Scooter usage was insignificant to the overall leisure activity increases in Austin, Texas.
Abstract Shared micromobility programs, including dockless electric scooter-share (E-scooter), are popular in many U.S. cities, and with their adoption brings the hope that they may uphold better car-free accessibility. However, few studies provide clear answers to what activities drive its travel demand or whether it could actually generate more visiting activities. To fill this gap, we conducted a spatiotemporal similarity analysis between E-scooter use and visit patterns to leisure facilities. We find that E-scooter use is significantly correlated with daily dining and drinking, shopping, and recreational activities, in that order. Moreover, we find higher scooter-visit correlation clusters in downtown and university campus areas. We then used the Difference-in-Differences approach to examine if E-scooter use can generate more visiting activities. Surprisingly, the results show that E-scooter use is insignificant to the overall visit increase.
The relationship between E-scooter travels and daily leisure activities in Austin, Texas
2021-01-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Shared E-Scooter Trajectory Analysis During the COVID-19 Pandemic in Austin, Texas
Transportation Research Record | 2022
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