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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
16 references·0 citing·59 second hopsampled
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 Traffic Influ…Bike sharing usage prediction with deep learning: a survey (2022)Bike sharing usage prediction…Recognition of Urban Functions and Mixed Use Based on Residents’ Movement and Topic Generation Model: The Case of Wuhan, China (2020)Recognition of Urban Function…Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam (2020)Factors influencing customer'…Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis (2020)Exploring the Effects of the …Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM (2019)Understanding Spatio-Temporal…Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-Scale Analysis and Visualization Study with Taxi GPS Data (2019)Revealing Spatial-Temporal Ch…Understanding bike sharing travel patterns: An analysis of trip data from eight cities (2018)Understanding bike sharing tr…Guiding vacant taxi drivers to demand locations by taxi-calling signals: A sequential binary logistic regression modeling approach and policy implications (2018)Guiding vacant taxi drivers t…Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City (2017)Hail a cab or ride a bike? 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Gronroos’s service quality perspective (2022)The intricate relationships of consumers’ loyalty and their perceptions of service quality, price and satisfaction in restaurant service (2022)Handbook of Applied Spatial Analysis (2009)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis (2021)Analysis of links between dockless bikeshare and metro trips in Beijing (2023)Integration of dockless bike-sharing and metro: Prediction and explanation at origin-destination level (2023)Tourism, Competitiveness, and Societal Prosperity (1999)The meaning and measurement of destination image. 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References

  • 2015Spatial variation of the urban taxi ridership using GPS data256 cited
  • 2009Tourism and urban public transport: Holding demand pressure under supply constraints249 cited
  • 2020Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam220 cited
  • 2014Tourist use of public transport at destinations – a review216 cited
  • 2017Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City130 cited
  • 2018Understanding bike sharing travel patterns: An analysis of trip data from eight cities120 cited
  • 2020Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis73 cited
  • 2014Modeling Taxi Trip Demand by Time of Day in New York City69 cited
  • 2014Bi-level decisions of vacant taxi drivers traveling towards taxi stands in customer-search: Modeling methodology and policy implications60 cited
  • 2022Bike sharing usage prediction with deep learning: a survey55 cited
  • 2019Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-Scale Analysis and Visualization Study with Taxi GPS Data50 cited
  • 2019Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM39 cited
  • 2015A Two-Stage Approach to Modeling Vacant Taxi Movements38 cited
  • 2016

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T2CBS: Mining taxi trajectories for customized bus systems
38 cited
  • 2018Guiding vacant taxi drivers to demand locations by taxi-calling signals: A sequential binary logistic regression modeling approach and policy implications35 cited
  • 2020Recognition of Urban Functions and Mixed Use Based on Residents’ Movement and Topic Generation Model: The Case of Wuhan, China29 cited
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