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Determining the exact location of a public bicycle station—The optimal distance between the building entrance/exit and the station

https://doi.org/10.1371/journal.pone.0212478
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/atr.1311openalex-snapshot
A model for the layout of bike stations in public bike‐sharing systems
inferredcites →https://doi.org/10.1007/978-3-030-35012-3_2openalex-snapshot
Bike Sharing Systems
inferredcites →https://doi.org/10.1016/j.aap.2011.01.004openalex-snapshot
Overtaking, rear-end, and door crashes involving bicycles: An empirical investigation
inferredcites →https://doi.org/10.1016/j.amepre.2011.03.002openalex-snapshot
Use of a New Public Bicycle Share Program in Montreal, Canada
inferredcites →https://doi.org/10.1016/j.apgeog.2012.07.002openalex-snapshot
Optimizing the location of stations in bike-sharing programs: A GIS approach
inferredcites →https://doi.org/10.1016/j.ejor.2003.11.032openalex-snapshot
Location analysis: A synthesis and survey
inferredcites →https://doi.org/10.1016/j.jtrangeo.2014.04.004openalex-snapshot
Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices
inferredcites →https://doi.org/10.1016/j.jtrangeo.2014.08.005openalex-snapshot
Barriers to bikesharing: an analysis from Melbourne and Brisbane
inferredcites →https://doi.org/10.1016/j.omega.2013.12.001openalex-snapshot
The bike sharing rebalancing problem: Mathematical formulations and benchmark instances
inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.769openalex-snapshot
An Optimisation Algorithm to Establish the Location of Stations of a Mixed Fleet Biking System: An Application to the City of Lisbon
inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.782openalex-snapshot
A Simulation-optimization Approach to Design Efficient Systems of Bike-sharing
inferredcites →https://doi.org/10.1016/j.tra.2006.09.010openalex-snapshot
Promoting bike-and-ride: The Dutch experience
inferredcites →https://doi.org/10.1016/j.trc.2018.10.011openalex-snapshot
Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
inferredcites →https://doi.org/10.1016/j.trd.2014.05.013openalex-snapshot
Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia
inferredcites →https://doi.org/10.1016/j.trd.2015.04.004openalex-snapshot
Analyzing the transition from a public bicycle system to bicycle ownership: A complex relationship
inferredcites →https://doi.org/10.1016/j.tre.2010.09.004openalex-snapshot
Strategic design of public bicycle sharing systems with service level constraints
inferredcites →https://doi.org/10.1016/j.ypmed.2012.05.002openalex-snapshot
Inequalities in usage of a public bicycle sharing scheme: Socio-demographic predictors of uptake and usage of the London (UK) cycle hire scheme
inferredcites →https://doi.org/10.1016/s0001-4575(99)00028-7openalex-snapshot
Toronto bicycle commuter safety rates
inferredcites →https://doi.org/10.1061/41184(419)42openalex-snapshot
Method on Layout Optimizing of Public Bicycle Rental Stations Based on Complex Network Theory
inferredcites →https://doi.org/10.1061/9780784413623.319openalex-snapshot
Study on Travel Characteristics of Public Bicycles in Beijing
inferredcites →https://doi.org/10.1080/00031305.1996.10473566openalex-snapshot
Sample Quantiles in Statistical Packages
inferredcites →https://doi.org/10.1136/jech-2012-201753.034openalex-snapshot
OP34 Inequities in Bicycle Usage: Socio-Demographic Predictors of Uptake and Usage of a Public Bicycle Sharing Scheme in London, UK
inferredcites →https://doi.org/10.1287/trsc.1100.0347openalex-snapshot
Fleet Management for Vehicle Sharing Operations
inferredcites →https://doi.org/10.1371/journal.pone.0122051openalex-snapshot
Trees Grow on Money: Urban Tree Canopy Cover and Environmental Justice
inferredcites →https://doi.org/10.1371/journal.pone.0137922openalex-snapshot
Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago
inferredcites →https://doi.org/10.1680/muen.2011.164.2.89openalex-snapshot
Implementing bike-sharing systems
inferredcites →https://doi.org/10.3141/1578-10openalex-snapshot
If You Build Them, Commuters Will Use Them: Association Between Bicycle Facilities and Bicycle Commuting
inferredcites →https://doi.org/10.3141/2143-20openalex-snapshot
Bikesharing in Europe, the Americas, and Asia
inferredcites →https://doi.org/10.3141/2314-09openalex-snapshot
Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use
inferredcites →https://doi.org/10.3141/2387-13openalex-snapshot
Are Bikeshare Users Different from Regular Cyclists?
inferredcites →https://doi.org/10.5038/2375-0901.12.4.3openalex-snapshot
Bike-sharing: History, Impacts, Models of Provision, and Future
inferredcites →https://doi.org/10.7922/g2nv9gddopenalex-snapshot
PLANNING FOR SHARED MOBILITY

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4853905openalex-extracted
Evaluating Urban Bike-Sharing Accessibility: A Comparative Study of 40 Cities Worldwide
inferred← citeshttps://doi.org/10.1016/j.jclepro.2019.06.070openalex-snapshot
Bike allocation strategies in a competitive dockless bike sharing market
inferred← citeshttps://doi.org/10.1016/j.jcmr.2023.100004openalex-snapshot
Access distance to e-scooters: Analysis of app use and trip data in Stockholm
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2023.103716openalex-snapshot
An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning
inferred← citeshttps://doi.org/10.1016/j.scs.2021.103434openalex-snapshot
Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types
inferred← citeshttps://doi.org/10.1016/j.tbs.2023.100661openalex-snapshot
How do walking environments along the connecting path affect the disparity in public bicycle usage among multiple docking stations around tube stations?
inferred← citeshttps://doi.org/10.1016/j.trip.2022.100725openalex-snapshot
Built environment bikeability as a predictor of cycling frequency: Lessons from Barcelona
inferred← citeshttps://doi.org/10.1016/j.trip.2024.101190openalex-snapshot
Planning factors in municipal bikesharing network design: A qualitative study
inferred← citeshttps://doi.org/10.1038/s41598-024-70706-xopenalex-snapshot
Global comparison of urban bike-sharing accessibility across 40 cities
inferred← citeshttps://doi.org/10.1177/03611981231189738openalex-snapshot
Catchment-Area Delineation Approach Considering Travel Purposes for Station-Level Ridership Prediction Task
inferred← citeshttps://doi.org/10.3390/futuretransp2030038openalex-snapshot
The Influence of Public Transportation Stops on Bike-Sharing Destination Trips: Spatial Analysis of Budapest City
inferred← citeshttps://doi.org/10.3390/ijgi10080554openalex-snapshot
A Systematic Review of Station Location Techniques for Bicycle-Sharing Systems Planning and Operation
inferred← citeshttps://doi.org/10.4018/ijdwm.2020070108openalex-snapshot
Skeleton Network Extraction and Analysis on Bicycle Sharing Networks
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