Micromobility trip origin and destination inference using general bikeshare feed specification data
Emerging micromobility services (eg, e-scooters) have a great potential to enhance urban
mobility but more knowledge on their usage patterns is needed. The General Bikeshare …
mobility but more knowledge on their usage patterns is needed. The General Bikeshare …
Micromobility trip origin and destination inference using general bikeshare feed specification (gbfs) data
Emerging micromobility services (eg, e-scooters) have a great potential to enhance urban
mobility but more knowledge on their usage patterns is needed. The General Bikeshare …
mobility but more knowledge on their usage patterns is needed. The General Bikeshare …
Understanding bike trip patterns leveraging bike sharing system open data
Bike sharing systems are booming globally as a green and flexible transportationmode, but
the flexibility also brings difficulties in keeping the bike stations balanced with enough bikes …
the flexibility also brings difficulties in keeping the bike stations balanced with enough bikes …
Shared micromobility as a first-and last-mile transit solution? Spatiotemporal insights from a novel dataset
The first-and last-mile (FM/LM) problem is a major deterrent to public transit use. With the
rise of shared micromobility options such as shared e-scooters in recent years, there is a …
rise of shared micromobility options such as shared e-scooters in recent years, there is a …
Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China
Trip purpose is closely related to travel patterns and plays an important role in urban
planning and transportation management. Recently, there has been a growing interest in …
planning and transportation management. Recently, there has been a growing interest in …
FGST: Fine-grained spatial-temporal based regression for stationless bike traffic prediction
Currently, fully stationless bike sharing systems, such as Mobike and Ofo are becoming
increasingly popular in both China and some big cities in the world. Different from traditional …
increasingly popular in both China and some big cities in the world. Different from traditional …
[HTML][HTML] Impact of data processing on deriving micro-mobility patterns from vehicle availability data
Vehicle availability data is emerging as a potential data source for micro-mobility research
and applications. However, there is not yet research that systematically evaluates or …
and applications. However, there is not yet research that systematically evaluates or …
A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system
Given the burgeoning growth in bikeshare system installations and their growing adoption
for trip making, it is important to develop modeling frameworks to understand bikeshare …
for trip making, it is important to develop modeling frameworks to understand bikeshare …
[HTML][HTML] Spatiotemporal analysis of bike mobility chain: A new perspective on mobility pattern discovery in urban bike-sharing system
Bike-sharing data have been a valuable source for urban transport research. While most
studies focus on Origin-Destination (OD) data of users' bike trips in bike-sharing researches …
studies focus on Origin-Destination (OD) data of users' bike trips in bike-sharing researches …
Exploratory analysis of real-time e-scooter trip data in Washington, DC
The proliferation of micromobility, evolving from station-based to dockless bikeshare
programs, has dramatically accelerated since 2017 with an influx of investment from the …
programs, has dramatically accelerated since 2017 with an influx of investment from the …