Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area

@article{Xie2018ExaminingTP,
  title={Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area},
  author={Xiao-Feng Xie and Zun Wang},
  journal={Journal of Transport Geography},
  year={2018}
}
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24 Citations
Highly Influential Citations
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Background Citations
4
Methods Citations
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Results Citations
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24 Citations

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References

SHOWING 1-10 OF 73 REFERENCES
Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto
TLDR
A comprehensive spatial analysis provides meaningful insights on the influences of socio-demographic attributes, land use and built environment, as well as different weather measures on bike share ridership in Toronto.
An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville
TLDR
A mixed linear model is developed to estimate the influence of bicycle infrastructure, socio-demographic characteristics and land-use characteristics on customer arrivals and departures and provides a template for examining bicycle rebalancing in different contexts, and a tool to improve system management of bicycle sharing systems.
Where do Bikeshare Bikes Actually Go ? An Analysis of Capital Bikeshare Trips Using GPS Data
TLDR
GIS analysis of GPS trackers placed on 94 Capital Bikeshare (CaBi) bikes in the Washington, DC area distinguishes riders by type of CaBi membership, identifies popular routes, analyzes bicycle infrastructure usage, and examines stopping and dwelling times at places of interest.
Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities
Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system
Data-Driven Urban Performance Measures
Performance measures typically are used by transportation agencies to measure progress toward organizational goals. As cities have reoriented their transportation priorities toward people instead of…
Mind the Gap: Assessing the Impacts of Bicycle Accessibility and Mobility on Mode Share in Washington, D.C.
The District of Columbia is enjoying rapid growth in cycling, evident through trends in census mode share data and in the presence of more cyclists out on the street. The District Department of…
Optimizing the location of stations in bike-sharing programs: A GIS approach
Bike-sharing systems and congestion: Evidence from US cities
Exploring bikesharing travel time and trip chain by gender and day of the week
...
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