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Delineating borders of urban activity zones with free-floating bike sharing spatial interaction network
16 references·13 citing·47 second hop
Delineating borders of urban activity zones with free-floating bike sharing spatial interaction network (2022)Delineating borders of urban activity zon…Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Examining non-linear built en…Built environment effects on the integration of dockless bike-sharing and the metro (2020)Built environment effects on …A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)A model framework for discove…Understanding the usage of dockless bike sharing in Singapore (2018)Understanding the usage of do…Tracking job and housing dynamics with smartcard data (2018)Tracking job and housing dyna…To be or not to be dockless: Empirical analysis of dockless bikeshare development in China (2018)To be or not to be dockless: …The birth of edge cities in China: Measuring the effects of industrial parks policy (2017)The birth of edge cities in C…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Uncovering Patterns of Inter-…Gravity Equations: Workhorse,Toolkit, and Cookbook (2014)Gravity Equations: Workhorse,…Detecting the dynamics of urban structure through spatial network analysis (2014)Detecting the dynamics of urb…The Gravity Model (2011)The Gravity ModelFurther simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator (2011)Further simulation evidence o…The Log of Gravity (2006)The Log of GravityModel-Dependent Variance Inflation Factor Cutoff Values (2002)Model-Dependent Variance Infl…Optimal location of free-floating bike-sharing dispatching hubs: A multi-scale perspective (2025)Optimal location of free-floa…Urban spatial cluster structure in metro travel networks: An explorative study of Wuhan using big and open data (2024)Urban spatial cluster structu…Uncovering travel communities among older and younger adults using smart card data (2024)Uncovering travel communities…Identifying service bottlenecks in public bikesharing flow networks (2024)Identifying service bottlenec…How to build vibrant communities by utilizing functional zones? 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References

  • 2006The Log of Gravity6,396 cited
  • 2014Gravity Equations: Workhorse,Toolkit, and Cookbook2,406 cited
  • 2002Model-Dependent Variance Inflation Factor Cutoff Values1,209 cited
  • 2011Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator1,089 cited
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  • 2014Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data393 cited
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  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2018To be or not to be dockless: Empirical analysis of dockless bikeshare development in China234 cited
  • 2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system

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195 cited
  • 2018Tracking job and housing dynamics with smartcard data193 cited
  • Cited by

    • 2023Exploring year-to-year spatiotemporal changes in cycling patterns for bike-sharing system in the pre-, during and post-pandemic periods22 cited
    • 2024Uncovering travel communities among older and younger adults using smart card data22 cited
    • 2024How to build vibrant communities by utilizing functional zones? A community-detection-based approach for revealing the association between land use and community vibrancy18 cited
    • 2023Exploring Public Transportation Supply–Demand Structure of Beijing from the Perspective of Spatial Interaction Network17 cited
    • 2024Identifying service bottlenecks in public bikesharing flow networks17 cited
    • 2024Characterizing the temporally stable structure of community evolution in intra-urban origin-destination networks16 cited
    • 2024Urban spatial cluster structure in metro travel networks: An explorative study of Wuhan using big and open data14 cited
    • 2023Deciphering flow clusters from large-scale free-floating bike sharing journey data: a two-stage flow clustering method13 cited
    • 2024Border effects for domestic travel in China during COVID-19 pandemic9 cited
    • 2025Optimal location of free-floating bike-sharing dispatching hubs: A multi-scale perspective9 cited
    • 2023Revealing the travel community in the integrated system of free-floating bike and metro9 cited
    • 2023A Study on Bicycle-Sharing Dispatching Station Site Selection and Planning Based on Multivariate Data9 cited
    • 2024Could free-floating bikeshare weed out station-based bikeshare? Analyzing the relationship between two bikeshare systems from bivariate flow clustering8 cited