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Modeling bike-sharing demand using a regression model with spatially varying coefficients · Study

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ArticleModeling bike-sharing demand using a regression model with spatially varying coefficients

Xudong Wang2021

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Articlegreen2021

Modeling bike-sharing demand using a regression model with spatially varying coefficients

Xudong Wang · Zhanhong Cheng · Martin Trépanier · Lijun Sun

60 citations·0/0 files stored·Journal of Transport Geography

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Urban Transport and Accessibility Spatial and Panel Data Analysis Transportation and Mobility Innovations

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References

1970A Computer Movie Simulating Urban Growth in the Detroit Region 2011An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach 1998Geographically Weighted Regression 2010Bikesharing in Europe, the Americas, and Asia 2009Bike-sharing: History, Impacts, Models of Provision, and Future 2008Gaussian Predictive Process Models for Large Spatial Data Sets 2015Bikeshare: A Review of Recent Literature 2013Bike Share: A Synthesis of the Literature

Cited by

2021Mobility pattern recognition based prediction for the subway station related bike-sharing trips 2023Deep trip generation with graph neural networks for bike sharing system expansion 2022Prediction of Bike‐sharing Trip Counts: Comparing Parametric Spatial Regression Models to a Geographically Weighted XGBoost Algorithm 2022Development of Spatial Econometric Models for Estimating the Bicycle Sharing Trip Activity 2022A semi-supervised co-training model for predicting passenger flow change in expanding subways

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2021The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, Chinaarticle · 13 shared references 2023How Do Land Use, Built Environment and Transportation Facilities Affect Bike-Sharing Trip Destinations?article · 12 shared references 2024Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Greenhouse Gas Emission Reduction of Dockless Bike-Sharing Trips: A Case Study of Shenzhen, Chinaarticle · 12 shared references 2022Bike Share Usage and the Built Environment: A Reviewreview · 11 shared references 2021What factors influence ridership of station-based bike sharing and free-floating bike sharing at rail transit stations?article · 11 shared references 2023Meta-analysis of shared micromobility ridership determinantsreview · 11 shared references

Details

Year2021

Typearticle

Published2021-04-25

VenueJournal of Transport Geography

ISSN-L0966-6923

Languageen

Citations60

Files0 public / 0

ShelfUrban Transport and Accessibility

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doi10.1016/j.jtrangeo.2021.103059

openalex_workW3157345337

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2024Exploring the relationship between built environment and spatiotemporal heterogeneity of dockless bike-sharing usage: A case study of Shenzhen, China

2023The relative roles of different land-use types in bike-sharing demand: A machine learning-based multiple interpolation fusion method

2022The Influence of Public Transportation Stops on Bike-Sharing Destination Trips: Spatial Analysis of Budapest City