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Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM
16 references·11 citing·39 second hop
Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM (2019)Understanding Spatio-Temporal Characteris…Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona (2019)Mobile phone records to feed …Commuting in Urban Kenya: Unpacking Travel Demand in Large and Small Kenyan Cities (2019)Commuting in Urban Kenya: Unp…Using Spatial Semantics and Interactions to Identify Urban Functional Regions (2018)Using Spatial Semantics and I…Trip destination prediction based on multi-day GPS data (2018)Trip destination prediction b…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Human mobility and socioecono…Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China (2017)Taxi trips distribution model…New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC) (2017)New potential for multimodal …Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Spatial variation of the urban taxi ridership using GPS data (2015)Spatial variation of the urba…Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai (2012)Urban land uses and traffic ‘…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…The SAGE Dictionary of Quantitative Management Research (2011)The SAGE Dictionary of Quanti…Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR) (2008)Spatial-Filtering-Based Contr…Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression (2007)Diagnostic Tools and a Remedi…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…Investigating the influence of spatial characteristics on cycling volume: A multi-scale geographic weighted regression approach (2024)Investigating the influence o…Analyzing spatiotemporal distribution patterns of metro ridership: Comparison between common-class and business-class carriage service (2024)Analyzing spatiotemporal dist…Analysis of Taxi Demand and Traffic Influencing Factors in Urban Core Area Based on Data Field Theory and GWR Model: A Case Study of Beijing (2024)Analysis of Taxi Demand and T…Exploring spatial heterogeneity in the impact of built environment on taxi ridership using multiscale geographically weighted regression (2023)Exploring spatial heterogenei…Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data (2022)Investigating Travel Flow Dif…Exploring the Spatiotemporal Impacts of the Built Environment on Taxi Ridership Using Multisource Data (2022)Exploring the Spatiotemporal …Impact of the mixed degree of urban functions on the taxi travel demand (2021)Impact of the mixed degree of…Effects of spatial units and travel modes on urban commuting demand modeling (2021)Effects of spatial units and …COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China (2021)COVID-19: A Comparative Study…Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China (2020)Mass Rapid Transit Ridership …Identifying Urban Traveling Hotspots Using an Interaction-Based Spatio-Temporal Data Field and Trajectory Data: A Case Study within the Sixth Ring Road of Beijing (2020)Identifying Urban Traveling H…Cities and Housing. (1970)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)A new insight into land use classification based on aggregated mobile phone data (2014)Revealing travel patterns and city structure with taxi trip data (2015)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Theories of Economic Regulation (1974)Factors influencing light-rail station boardings in the United States (2004)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Spatial analysis of shared e-scooter trips (2021)Spatial Econometrics: Methods and Models (1988)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Multicollinearity and correlation among local regression coefficients in geographically weighted regression (2005)Geographically Weighted Regression (2009)Geographically weighted principal components analysis (2011)Local Indicators of Spatial Association—LISA (1995)All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices (2002)A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011)Replication across space and time must be weak in the social and environmental sciences (2021)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Natural Scales in Geographical Patterns (2017)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Understanding house price appreciation using multi-source big geo-data and machine learning (2020)Computational Social Science (2009)The statistical physics of cities (2019)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Mobile phone location data for disasters: A review from natural hazards and epidemics (2022)Activity-based disaggregate travel demand model system with activity schedules (2001)Crowding valuation in urban tram and bus transportation based on smart card data (2018)Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)EMPLOYEE RETENTION IN A HIGHER EDUCATION INSTITUTION: AN ORGANISATIONAL DEVELOPMENT PERSPECTIVE (2015)Spatial and hedonic analysis of housing prices in Shanghai (2017)Spatial Modeling of COVID-19 Vaccine Hesitancy in the United States (2021)
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References

  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
  • 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai423 cited
  • 2007Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression271 cited
  • 2008Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)266 cited
  • 2015Spatial variation of the urban taxi ridership using GPS data256 cited
  • 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
  • 2018Human mobility and socioeconomic status: Analysis of Singapore and Boston237 cited
  • 2011The SAGE Dictionary of Quantitative Management Research173 cited
  • 2017Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China87 cited
  • 2018Using Spatial Semantics and Interactions to Identify Urban Functional Regions84 cited
  • 2018Trip destination prediction based on multi-day GPS data77 cited
  • 2019Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona

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69 cited
  • 2017New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC)68 cited
  • 2019Commuting in Urban Kenya: Unpacking Travel Demand in Large and Small Kenyan Cities59 cited
  • Cited by

    • 2023Exploring spatial heterogeneity in the impact of built environment on taxi ridership using multiscale geographically weighted regression30 cited
    • 2021Effects of spatial units and travel modes on urban commuting demand modeling30 cited
    • 2021Impact of the mixed degree of urban functions on the taxi travel demand25 cited
    • 2021COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China20 cited
    • 2020Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China15 cited
    • 2020Identifying Urban Traveling Hotspots Using an Interaction-Based Spatio-Temporal Data Field and Trajectory Data: A Case Study within the Sixth Ring Road of Beijing10 cited
    • 2022Exploring the Spatiotemporal Impacts of the Built Environment on Taxi Ridership Using Multisource Data8 cited
    • 2022Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data8 cited
    • 2024Analysis of Taxi Demand and Traffic Influencing Factors in Urban Core Area Based on Data Field Theory and GWR Model: A Case Study of Beijing7 cited
    • 2024Analyzing spatiotemporal distribution patterns of metro ridership: Comparison between common-class and business-class carriage service6 cited
    • 2024Investigating the influence of spatial characteristics on cycling volume: A multi-scale geographic weighted regression approach6 cited