A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Influence of the built environment on E-scooter sharing ridership: A tale of five cities
Abstract Electric scooter (e-scooter) sharing systems (ESSs) have been widely adopted by many cities around the world and have attracted a growing number of users. Although some studies have explored the usage characteristics and effects of the built environment on ESS ridership using one city as an example, few studies have considered multiple cities to obtain generalizable and robust results. To fill this research gap, we collect the ESS trip data of five cities in the U.S., namely Austin, Minneapolis, Kansas City, Louisville, and Portland, and explore the effects of the built environment on ESS ridership after controlling for socioeconomic factors. The temporal distributions of e-scooter ridership of different cities are similar, having a single peak period on weekdays and weekends between 11:30 and 17:30. In terms of spatial distribution, the ESS ridership is higher in universities and urban centers compared to other areas. Multilevel negative binomial model results show that ESS trips are positively correlated with population density, employment density, intersection density, land use mixed entropy, and bus stop density in the census block group. E-scooter ridership is negatively correlated with the median age of the population in the census block group and distance to the city center. The findings in this article can help operators understand the factors that affect the ridership of shared e-scooters, determine the changes in ridership when the built environment changes, and identify high-ridership areas when ESS is implemented in new cities.
Highlights The effect of built environment on e-scooter ridership (ER) is studied. Trip data of five cities are analyzed to obtain more generalizable and robust result. Temporal variation of ER of different cities exhibits similar pattern. ER increases with population, employment, intersection density, and mixed land use. ER decreases with median age of the population and distance to the city center.
Influence of the built environment on E-scooter sharing ridership: A tale of five cities
Abstract Electric scooter (e-scooter) sharing systems (ESSs) have been widely adopted by many cities around the world and have attracted a growing number of users. Although some studies have explored the usage characteristics and effects of the built environment on ESS ridership using one city as an example, few studies have considered multiple cities to obtain generalizable and robust results. To fill this research gap, we collect the ESS trip data of five cities in the U.S., namely Austin, Minneapolis, Kansas City, Louisville, and Portland, and explore the effects of the built environment on ESS ridership after controlling for socioeconomic factors. The temporal distributions of e-scooter ridership of different cities are similar, having a single peak period on weekdays and weekends between 11:30 and 17:30. In terms of spatial distribution, the ESS ridership is higher in universities and urban centers compared to other areas. Multilevel negative binomial model results show that ESS trips are positively correlated with population density, employment density, intersection density, land use mixed entropy, and bus stop density in the census block group. E-scooter ridership is negatively correlated with the median age of the population in the census block group and distance to the city center. The findings in this article can help operators understand the factors that affect the ridership of shared e-scooters, determine the changes in ridership when the built environment changes, and identify high-ridership areas when ESS is implemented in new cities.
Highlights The effect of built environment on e-scooter ridership (ER) is studied. Trip data of five cities are analyzed to obtain more generalizable and robust result. Temporal variation of ER of different cities exhibits similar pattern. ER increases with population, employment, intersection density, and mixed land use. ER decreases with median age of the population and distance to the city center.
Influence of the built environment on E-scooter sharing ridership: A tale of five cities
Huo, Jinghai (author) / Yang, Hongtai (author) / Li, Chaojing (author) / Zheng, Rong (author) / Yang, Linchuan (author) / Wen, Yi (author)
2021-05-02
Article (Journal)
Electronic Resource
English
Weather to scoot? How weather shapes shared e-scooter ridership patterns
| Elsevier | 2022
Weather to scoot? How weather shapes shared e-scooter ridership patterns
| Elsevier | 2022