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Do road network patterns and points of interest influence bicycle safety? Evidence from dockless bike sharing in China and policy implications for traffic safety planning
6 references·2 citing·38 second hop
Do road network patterns and points of interest influence bicycle safety? Evidence from dockless bike sharing in China and policy implications for traffic safety planning (2024)Do road network patterns and points of in…Decomposing neighborhood disparities in bicycle crashes: A Gelbach decomposition analysis (2022)Decomposing neighborhood disp…Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China (2020)Exploring travel patterns and…A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)A comparison in travel patter…The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Handbook of Regional Science (2015)Handbook of Regional ScienceModeling User Perception of Public Bicycle Services (2012)Modeling User Perception of P…Quantify relationships between bike network connectivity and bike safety: A comparative analysis of connectivity metrics conducted in two California cities (2025)Quantify relationships betwee…Integration between Dockless Bike-Sharing and Buses: The Effect of Urban Road Network Characteristics (2024)Integration between Dockless …Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Bicycling for Transportation and Health: The Role of Infrastructure (2009)Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2014)Evaluating the impacts of using cargo cycles on urban logistics: integrating traffic, environmental and operational boundaries (2017)Using a hybrid method for evaluating and improving the service quality of public bike-sharing systems (2018)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep learning with long short-term memory networks for financial market predictions (2017)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system (2019)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Bikesharing in Europe, the Americas, and Asia (2010)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China (2021)Bike Share Usage and the Built Environment: A Review (2022)Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership (2022)Measurement, Optimization, and Impact of Health Care Accessibility: A Methodological Review (2012)Mining smart card data for transit riders’ travel patterns (2013)Environmental benefits of bike sharing: A big data-based analysis (2018)How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics (2021)Unsupervised machine learning in urban studies: A systematic review of applications (2022)Promoting Safe Walking and Cycling to Improve Public Health: Lessons From The Netherlands and Germany (2003)What affects commute mode choice: neighborhood physical structure or preferences toward neighborhoods? (2004)The impact of transportation infrastructure on bicycling injuries and crashes: a review of the literature (2009)Which street characteristics support cycling for transport among vulnerable groups in traffic: A think-aloud study in virtual reality (2024)Explaining disparities in bike-share usage by neighborhood disadvantage: A decomposition analysis (2025)How would employees commute today if they had the same characteristics as employees in 1980? – Using entropy balancing to decompose changes in observed commuting mode choice over time in repeated cross-sections (2025)Promoting bike-and-ride: The Dutch experience (2006)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Exploring the Relationship Between the Built Environment and Bike-Sharing Usage as a Feeder Mode Across Different Metro Station Types in Shenzhen (2025)Traffic density in California: Socioeconomic and ethnic differences among potentially exposed children (2003)Low-Stress Bicycling and Network Connectivity (2012)Why cities with high bicycling rates are safer for all road users (2019)Geospatial big data handling theory and methods: A review and research challenges (2015)A Moran coefficient-based mixed effects approach to investigate spatially varying relationships (2016)Trademarks’ relatedness to product and service innovation: A branding strategy approach (2019)
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References

  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets299 cited
  • 2020A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data254 cited
  • 2015Handbook of Regional Science155 cited
  • 2020Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China154 cited
  • 2012Modeling User Perception of Public Bicycle Services49 cited
  • 2022Decomposing neighborhood disparities in bicycle crashes: A Gelbach decomposition analysis20 cited

Cited by

  • 2024Integration between Dockless Bike-Sharing and Buses: The Effect of Urban Road Network Characteristics6 cited
  • 2025Quantify relationships between bike network connectivity and bike safety: A comparative analysis of connectivity metrics conducted in two California cities3 cited

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