SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Predicting Travel Demand of a Docked Bikesharing System Based on LSGC-LSTM Networks
16 references·0 citing·49 second hop
Predicting Travel Demand of a Docked Bikesharing System Based on LSGC-LSTM Networks (2021)Predicting Travel Demand of a Docked Bike…Impacts of free-floating bikesharing system on public transit ridership (2019)Impacts of free-floating bike…Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing (2019)Impact of Weather Conditions …Understanding the usage of dockless bike sharing in Singapore (2018)Understanding the usage of do…Trip destination prediction based on multi-day GPS data (2018)Trip destination prediction b…Spatial Analysis of Bikeshare Ridership With Smart Card and POI Data Using Geographically Weighted Regression Method (2018)Spatial Analysis of Bikeshare…Governmental subsidy policies and supply chain decisions with carbon emission limit and consumer’s environmental awareness (2018)Governmental subsidy policies…Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service (2018)Evaluating passenger satisfac…A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China (2018)A comparison of users’ charac…Sharing riders: How bikesharing impacts bus ridership in New York City (2017)Sharing riders: How bikeshari…Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Exploring the impact of built…Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations (2015)Modeling Bike Share Station A…The impact of weather conditions on bikeshare trips in Washington, DC (2014)The impact of weather conditi…Modeling Demand for Bikesharing Systems (2014)Modeling Demand for Bikeshari…Bike Lanes and Other Determinants of Capital Bikeshare Trips (2012)Bike Lanes and Other Determin…A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)A review and comparison of st…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)A Computer Movie Simulating U…Innovation Diffusion As a Spatial Process (1967)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)A measure of spatial stratified heterogeneity (2016)Multiscale Geographically Weighted Regression (MGWR) (2017)The Combination of Forecasts (1969)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)Machine Learning Strategies for Time Series Forecasting (2013)Time series forecasting using artificial neural networks methodologies: A systematic review (2018)An optimized model using LSTM network for demand forecasting (2020)How the built environment affects physical activity (2002)Obesity relationships with community design, physical activity, and time spent in cars (2004)Bikesharing in Europe, the Americas, and Asia (2010)Bikeshare trip generation in New York City (2016)A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)Statistical and Econometric Methods for Transportation Data Analysis (2003)Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area (2003)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Built environment effects on the integration of dockless bike-sharing and the metro (2020)Commuting by Bicycle: An Overview of the Literature (2009)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Travel and the Built Environment (2010)A Dynamic Approach to Rebalancing Bike-Sharing Systems (2018)Promoting public bike-sharing: A lesson from the unsuccessful Pronto system (2018)Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City (2019)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment: A Synthesis (2001)Bike-sharing systems and congestion: Evidence from US cities (2017)Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Bike Share: A Synthesis of the Literature (2013)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory (2018)Mapping the bike sharing research published from 2010 to 2018: A scientometric review (2018)How Accessibility Shapes Land Use (1959)Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Dockless bike-sharing systems: what are the implications? (2020)Structural Equations with Latent Variables (1989)Scale Development : Theory and Applications (1991)Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments (2000)Importance – Performance Analysis (IPA) of bus service attributes: A case study in a developing country (2020)Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach (2020)Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China (2020)Mining smart card data for transit riders’ travel patterns (2013)Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia (2014)An equality-based model for bike-sharing stations location in bicycle-public transport multimodal mobility (2020)Exploring the relationship between bike-sharing and public transport in Poznań, Poland (2021)Environmental impact assessment of bike-sharing considering the modal shift from public transit (2022)
this work references cited by second hop

References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 2012A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition745 cited
  • 2018Understanding the usage of dockless bike sharing in Singapore421 cited
  • 2014The impact of weather conditions on bikeshare trips in Washington, DC330 cited
  • 2017Sharing riders: How bikesharing impacts bus ridership in New York City298 cited
  • 2015Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations275 cited
  • 2016Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China258 cited
  • 2018Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service245 cited
  • 2012Bike Lanes and Other Determinants of Capital Bikeshare Trips149 cited
  • 2019Impacts of free-floating bikesharing system on public transit ridership146 cited
  • 2018A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China96 cited
  • 2014Modeling Demand for Bikesharing Systems96 cited
  • 2018Trip destination prediction based on multi-day GPS data77 cited
  • 2019Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

64 cited
  • 2018Governmental subsidy policies and supply chain decisions with carbon emission limit and consumer’s environmental awareness63 cited
  • 2018Spatial Analysis of Bikeshare Ridership With Smart Card and POI Data Using Geographically Weighted Regression Method45 cited
  • Cited by

    No citing works inside the corpus for this window.