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Understanding the Shared E-scooter Travels in Austin, TX

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This paper investigated the travel patterns of 1.7 million shared E-scooter trips from April 2018 to February 2019 in Austin, TX. There were more than 6000 active E-scooters in operation each month, generating over 150,000 trips and covered approximately 117,000 miles. During this period, the average travel distance and operation time of E-scooter trips were 0.77 miles and 7.55 min, respectively. We further identified two E-scooter usage hotspots in the city (Downtown Austin and the University of Texas campus). The spatial analysis showed that more trips originated from Downtown Austin than were completed, while the opposite was true for the UT campus. We also investigated the relationship between the number of E-scooter trips and the surrounding environments. The results show that areas with higher population density and more residents with higher education were correlated with more E-scooter trips. A shorter distance to the city center, the presence of transit stations, better street connectivity, and more compact land use were also associated with increased E scooter usage in Austin, TX. Surprisingly, the proportion of young residents within a neighborhood was negatively correlated with E-scooter usage.
Title: Understanding the Shared E-scooter Travels in Austin, TX
Description:
This paper investigated the travel patterns of 1.
7 million shared E-scooter trips from April 2018 to February 2019 in Austin, TX.
There were more than 6000 active E-scooters in operation each month, generating over 150,000 trips and covered approximately 117,000 miles.
During this period, the average travel distance and operation time of E-scooter trips were 0.
77 miles and 7.
55 min, respectively.
We further identified two E-scooter usage hotspots in the city (Downtown Austin and the University of Texas campus).
The spatial analysis showed that more trips originated from Downtown Austin than were completed, while the opposite was true for the UT campus.
We also investigated the relationship between the number of E-scooter trips and the surrounding environments.
The results show that areas with higher population density and more residents with higher education were correlated with more E-scooter trips.
A shorter distance to the city center, the presence of transit stations, better street connectivity, and more compact land use were also associated with increased E scooter usage in Austin, TX.
Surprisingly, the proportion of young residents within a neighborhood was negatively correlated with E-scooter usage.

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