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Evaluating the Level of Balance Between Demand and Supply at Bus Stops Using Smartcard Data
16 references·0 citing·59 second hopsampled
Evaluating the Level of Balance Between Demand and Supply at Bus Stops Using Smartcard Data (2025)Evaluating the Level of Balance Between D…The Gini index of demand imbalances in public transport (2020)The Gini index of demand imba…Passenger Travel Time Reliability for Multimodal Public Transport Journeys (2019)Passenger Travel Time Reliabi…Bus timetabling considering passenger satisfaction: An empirical study in Beijing (2019)Bus timetabling considering p…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…Evaluation of Transfer Efficiency between Bus and Subway based on Data Envelopment Analysis using Smart Card Data (2018)Evaluation of Transfer Effici…Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data (2017)Route choice stickiness of pu…Assessment of Passenger Satisfaction with Public Bus Transport Services: A Case Study of Lucknow City (India) (2016)Assessment of Passenger Satis…Short-Term Prediction of Ridership on Public Transport with Smart Card Data (2015)Short-Term Prediction of Ride…A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)A simple and efficient method…Real-time Optimal Bus Scheduling for a City Using A DTR Model (2013)Real-time Optimal Bus Schedul…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Identifying commuter preferences for existing modes and a proposed Metro in Sydney, Australia with special reference to crowding (2011)Identifying commuter preferen…Dynamic bus holding strategies for schedule reliability: Optimal linear control and performance analysis (2011)Dynamic bus holding strategie…Direct Ridership Model of Bus Rapid Transit in Los Angeles County, California (2010)Direct Ridership Model of Bus…Passenger Wait Time Perceptions at Bus Stops: Empirical Results and Impact on Evaluating Real - Time Bus Arrival Information (2006)Passenger Wait Time Perceptio…An uncertainty importance measure using a distance metric for the change in a cumulative distribution function (2000)An uncertainty importance mea…Rough-Fuzzy Hybridization: A New Trend in Decision Making (1999)Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Understanding commuting patterns using transit smart card data (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Urban operations research (1982)Discrete Choice Analysis (1985)Econometric Models and Economic Forecasts (1990)Where Is My Bus? 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Design and estimator for the total sensitivity index (2009)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Distribution-based sensitivity analysis from a generic input-output sample (2018)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Control Strategies for an Idealized Public Transportation System (1972)The Holding Problem with Real–Time Information Available (2001)A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons (2009)Planning, operation, and control of bus transport systems: A literature review (2015)Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions (2020)Public transport for smart cities: Recent innovations and future challenges (2022)National Power and the Structure of Foreign Trade (1946)National Power and the Structure of Foreign Trade, by Albert O. Hirschman (1946)Big data in public transportation: a review of sources and methods (2019)A systematic review of big data-based urban sustainability research: State-of-the-science and future directions (2020)An ethical framework for big data and smart cities (2021)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Activity-based disaggregate travel demand model system with activity schedules (2001)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Deep learning-based remote and social sensing data fusion for urban region function recognition (2020)Examining the relationship between built environment and metro ridership at station-to-station level (2020)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)Transit-oriented development in a high-density city: Identifying its association with transit ridership in Seoul, Korea (2010)Evaluating the Efficiency of Transit-Oriented Development Using Network Slacks-Based Data Envelopment Analysis (2019)eXplainable DEA approach for evaluating performance of public transport origin-destination pairs (2024)Analyzing Transit Systems Using General Transit Feed Specification (GTFS) by Generating Spatiotemporal Transit Networks (2025)
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References

  • 2013Mining smart card data for transit riders’ travel patterns627 cited
  • 2015A simple and efficient method for global sensitivity analysis based on cumulative distribution functions512 cited
  • 2011Dynamic bus holding strategies for schedule reliability: Optimal linear control and performance analysis283 cited
  • 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
  • 2000An uncertainty importance measure using a distance metric for the change in a cumulative distribution function195 cited
  • 2006Passenger Wait Time Perceptions at Bus Stops: Empirical Results and Impact on Evaluating Real - Time Bus Arrival Information156 cited
  • 2010Direct Ridership Model of Bus Rapid Transit in Los Angeles County, California107 cited
  • 2011Identifying commuter preferences for existing modes and a proposed Metro in Sydney, Australia with special reference to crowding106 cited
  • 2017Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data96 cited
  • 2018Evaluation of Transfer Efficiency between Bus and Subway based on Data Envelopment Analysis using Smart Card Data67 cited
  • 2015Short-Term Prediction of Ridership on Public Transport with Smart Card Data65 cited
  • 2019Bus timetabling considering passenger satisfaction: An empirical study in Beijing49 cited
  • 2019Passenger Travel Time Reliability for Multimodal Public Transport Journeys

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47 cited
  • 2020The Gini index of demand imbalances in public transport32 cited
  • 2013Real-time Optimal Bus Scheduling for a City Using A DTR Model30 cited
  • 2016Assessment of Passenger Satisfaction with Public Bus Transport Services: A Case Study of Lucknow City (India)27 cited
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