Environmental benefits of bike sharing: A big data-based analysis

  title={Environmental benefits of bike sharing: A big data-based analysis},
  author={Yongping Zhang and Zhifu Mi},
  journal={Applied Energy},

Figures and Tables from this paper

Exploring the weather impact on bike sharing usage through a clustering analysis
Bike usage data and weather data are gathered for the city of Washington D.C. and are analyzed using k-means clustering algorithm and show that the weather impact on bike usage was noticeable between clusters.
Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea
  • Hyungkyoo Kim
  • Environmental Science
    International journal of environmental research and public health
  • 2020
Investigating the impact of PM10 and PM2.5 levels on bike sharing use in Seoul and seeking to identify any seasonal differences suggests that PM levels may operate as driving factors for bike share use in addition to meteorological conditions like temperature, humidity, and precipitation.
Revealing Spatio-Temporal Patterns and Influencing Factors of Dockless Bike Sharing Demand
Findings may help planners and policymakers to determine the reasonable scale of bike deployment and improve the efficiency of redistribution in local regions while reducing rebalance costs.
The suitability level of bike-sharing station in Yogyakarta using SMCA technique
Yogyakarta is experiencing the increasing number of population (1,13%) from 2014 to 2017 that influences the rising number of motorized vehicles. Besides, it is also led by the easiness to access
Spatiotemporal Characteristics of Bike-Sharing Usage around Rail Transit Stations: Evidence from Beijing, China
This work applies the GWR model to carry out a spatiotemporal characteristic analysis of the relationship between bike-sharing usage in railway-station service areas and its determinants, including the passenger flow in stations, land use, bus lines, and road-network characteristics.


Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto
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.
Environmental benefits from ridesharing: A case of Beijing
The Structure of Spatial Networks and Communities in Bicycle Sharing Systems
This paper employs visualization, descriptive statistics and spatial and network analysis tools to explore system usage in these cities, using techniques to investigate features specific to the unique geographies of each, and uncovering similarities between different systems.
Institutionalisation of sustainable consumption patterns based on shared use