Mining dockless bikeshare data for insights into cyclist behavior and preferences: Evidence from the Boston region

Bita Sadeghinasr, Armin Akhavan, Peter G. Furth, Steven R. Gehrke, Qi Wang, Timothy G. Reardon

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Emerging micromobility services provide not only new transportation options, but also valuable sources of data for researchers and planners seeking to understand traveler behavior and preferences and to improve transportation networks. Dockless systems for shared bicycles and electric scooters have recently begun operating in many American cities, providing data not only on trip start and end, but also on the route followed. In this study, we analyze data from more than 110,000 dockless bikeshare trips in Boston's suburbs. About 15% of trip ends were within 100 m of a transit station, indicating that bikeshare serves many more functions than access to transit. More than 40% ended in a town or village center, suggesting that bikeshare may support the local economy. From examining GPS traces, it was clear that – contrary to the assumptions of common bike routing algorithms – bike riders often use sidewalks, other footways and soft-surfaced paths, parking lots, and driveways, and 36% ride the wrong way on one-way streets. An examination of the streets with high contraflow volumes indicates two common profiles. One is streets whose travel channel is so narrow that either the bike or vehicle has to pull into a parking lane to let the other pass; those streets typically have low traffic speeds and very low traffic volumes. The other is streets whose travel channel is wide enough for a bike and car to pass without either yielding to the other; they typically have greater vehicular speed and volume, but still only one lane. After classifying streets by level of traffic stress, we find that only 7 percent of trips use exclusively low-stress links, and that about 40 percent of bike-miles are ridden on low-stress links. These low percentages are consistent with an underdeveloped bike network that forces riders to use through streets for all except ultra-local trips; it may also reflect a prevalence of sidewalk riding on major arterials.

Original languageEnglish (US)
Article number103044
JournalTransportation Research, Part D: Transport and Environment
Volume100
DOIs
StatePublished - Nov 2021

Keywords

  • Bicycle routing, detour
  • Bicycling
  • Contraflow
  • Level of traffic stress
  • dockless bikeshare

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

Fingerprint

Dive into the research topics of 'Mining dockless bikeshare data for insights into cyclist behavior and preferences: Evidence from the Boston region'. Together they form a unique fingerprint.

Cite this