Using Global Positioning System Big Data to Define a Bikeshare User Typology and Model On-/Off-Road Bicycle Facility Preferences
| Autor: | Benjamin Burmester, Jeffrey J. LaMondia |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Transportation Research Record: Journal of the Transportation Research Board. 2676:626-639 |
| ISSN: | 2169-4052 0361-1981 |
| DOI: | 10.1177/03611981221075625 |
| Popis: | Bikeshare programs have grown exponentially over the last decade and have been found to be influential in increasing the nonmotorized mode share. With shared microbility programs proving to be a key component of modern urban environments and in first- and last-mile connections to transit, there is a need to better understand users and their facility preferences. This study utilizes 3 years’ worth of data from a campus bikeshare program in Auburn, AL, that includes over 100,000 trips and almost 9,000 users to develop a bikeshare user typology. Whereas past research developing cyclist groupings has been based on self-reported cyclist comfort and confidence levels, this study utilized actual ridership data from the bikeshare program to create new typologies specific to bikeshare. Using a K-means cluster analysis, this study proposes four bikeshare user types: unsupported users, aspirational users, flexible users, and purposeful users. These users have varying travel motivations, needs, and patterns. Their choice between an on-road and off-road facility option was analyzed at nine specific locations displaying different roadway and physical conditions. A binary logistic regression analysis was performed to determine which variables are influential in a bikeshare user’s choice between riding on an on-road or off-road facility. The modeling results found two typology memberships were a significant predictor of bicycle facility preference, keeping all other factors constant. Specifically, flexible and purposeful users had stronger preferences for off-road bicycle facilities. Additionally, the physical conditions were found to be significant with users choosing off-road options away from motor vehicle traffic as the roadway environment becomes more intimidating. |
| Databáze: | OpenAIRE |
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