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Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C

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References

1974THE MAXIMAL COVERING LOCATION PROBLEM2,749 cited
2006Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality1,369 cited
2015Bikeshare: A Review of Recent Literature879 cited
2006Personal, Family, Social, and Environmental Correlates of Active Commuting to School802 cited
2013Bike Share: A Synthesis of the Literature712 cited
2019A review on bike-sharing: The factors affecting bike-sharing demand460 cited
2012Optimizing the location of stations in bike-sharing programs: A GIS approach436 cited
2010Strategic design of public bicycle sharing systems with service level constraints435 cited
2007Factors Affecting Bicycling Demand423 cited
2018Understanding the usage of dockless bike sharing in Singapore421 cited
2014Health effects of the London bicycle sharing system: health impact modelling study382 cited
2006Why Canadians cycle more than Americans: A comparative analysis of bicycling trends and policies372 cited
2014Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities361 cited
2006Correlates of Walking for Transportation or Recreation Purposes353 cited

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2014

Factors influencing bike share membership: An analysis of Melbourne and Brisbane

313 cited

2015Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations275 cited

Cited by

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2025Integration of e-scooter sharing with public transit on employment accessibility and equity24 cited
2023Is digital finance environmentally friendly in China? Evidence from shared-bike trips16 cited
2023Locating new docked bike sharing stations considering demand suitability and spatial accessibility15 cited
2023Evaluation of Urban Sustainability Based on Transportation and Green Spaces: The Case of Limassol, Cyprus13 cited
2024Prediction of bike-sharing station demand using explainable artificial intelligence7 cited
2024Dynamic demand patterns in the profit optimisation of bike-sharing station locations: an agent-based analysis of the greater Vienna region4 cited