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The Bus Bunching Problem: Empirical Findings from Spatial Analytics
13 references·3 citing·42 second hop
The Bus Bunching Problem: Empirical Findings from Spatial Analytics (2018)The Bus Bunching Problem: Empirical Findi…Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour (2017)Modelling bus bunching and ho…Have they bunched yet? An exploratory study of the impacts of bus bunching on dwell and running times (2016)Have they bunched yet? An exp…An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time (2014)An Incremental Probabilistic …Bus Bunching Detection by Mining Sequences of Headway Deviations (2012)Bus Bunching Detection by Min…Empirical Findings of Bus Bunching Distributions and Attributes Using Archived AVL/APC Bus Data (2011)Empirical Findings of Bus Bun…The SAGE Handbook of Spatial Analysis (2009)The SAGE Handbook of Spatial …PySAL: A Python Library of Spatial Analytical Methods (2009)PySAL: A Python Library of Sp…Estimation of the distribution of travel times by repeated simulation (2007)Estimation of the distributio…An Analytic Stochastic Model for the Transit Vehicle Holding Problem (2001)An Analytic Stochastic Model …A new proposal to adjust Moran'sI for population density (1999)A new proposal to adjust Mora…Local Indicators of Spatial Association—LISA (1995)Local Indicators of Spatial A…The Analysis of Spatial Association by Use of Distance Statistics (1992)The Analysis of Spatial Assoc…Spatial Autocorrelation: A Review of Existing and New Measures with Applications (1970)Spatial Autocorrelation: A Re…An overview of solutions to the bus bunching problem in urban bus systems (2024)An overview of solutions to t…Bus bunching from a stop-based perspective: insights from visual analytics (2021)Bus bunching from a stop-base…Mining Customized Bus Demand Spots Based on Smart Card Data: A Case Study of the Beijing Public Transit System (2019)Mining Customized Bus Demand …Spatial Econometrics: Methods and Models (1988)GeoDa : An Introduction to Spatial Data Analysis (2005)Spatial Statistics in ArcGIS (2009)A Local Indicator of Multivariate Spatial Association: Extending Geary's c (2018)A Route Map for Successful Applications of Geographically Weighted Regression (2022)Control Strategies for an Idealized Public Transportation System (1972)The Holding Problem with Real–Time Information Available (2001)Chapter 2 Public Transit (2006)Hybrid predictive control for real-time optimization of public transport systems’ operations based on evolutionary multi-objective optimization (2009)ON STATIONARY PROCESSES IN THE PLANE (1954)Spatial Processes, Models and Applications (1983)Spatial Data Analysis (2003)Modeling network autocorrelation within migration flows by eigenvector spatial filtering (2008)Crime Mapping: Spatial and Temporal Challenges (2009)STATISTICS FOR SPATIAL DATA (1992)Local Spatial Autocorrelation Statistics: Distributional Issues and an Application (1995)A measure of spatial stratified heterogeneity (2016)The valuation of reliability for personal travel (2001)Monitoring and Predicting Freeway Travel Time Reliability (2005)Direct versus indirect models for the effects of unreliability (2006)Designing robust schedule coordination scheme for transit networks with safety control margins (2016)A copula-based approach for estimating the travel time reliability of urban arterial (2017)Analysis of bus travel time distributions for varying horizons and real-time applications (2017)The Contiguity Ratio and Statistical Mapping (1954)Social structure and the ecological distribution of mental illness, suicide, and delinquency (1973)Transport Expansion in Underdeveloped Countries: A Comparative Analysis (1973)The generators of paratransit trips by persons with disabilities (2014)Exploring the spatial heterogeneity in different doses of vaccination coverage in India (2018)Urban Transit : Operations, Planning and Economics (2005)The demand for public transport: The effects of fares, quality of service, income and car ownership (2006)Urban Transit: Operations, Planning and Economics (2006)Modeling bus bunching using massive location and fare collection data (2018)Factors affecting bus bunching at the stop level: A geographically weighted regression approach (2020)Identifying spatio-temporal patterns of bus bunching in urban networks (2020)Transit capacity and quality of service manual (2003)A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons (2009)Autonomous shuttle bus service timetabling and vehicle scheduling using skip-stop tactic (2019)Stochastic bus schedule coordination considering demand assignment and rerouting of passengers (2019)Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach (2020)Towards a Process-Oriented Methodology: Modern Social Science Research Methods and Norbert Elias's Figurational Sociology (2011)Bringing the Person Back In: Boundaries, Perceptions, and the Measurement of Racial Context (2012)Determining the spatial effects of COVID-19 using the spatial panel data model (2020)
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References

  • 1995Local Indicators of Spatial Association—LISA13,061 cited
  • 1992The Analysis of Spatial Association by Use of Distance Statistics6,253 cited
  • 2009The SAGE Handbook of Spatial Analysis466 cited
  • 2009PySAL: A Python Library of Spatial Analytical Methods352 cited
  • 1999A new proposal to adjust Moran'sI for population density273 cited
  • 1970Spatial Autocorrelation: A Review of Existing and New Measures with Applications260 cited
  • 2001An Analytic Stochastic Model for the Transit Vehicle Holding Problem237 cited
  • 2017Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour177 cited
  • 2007Estimation of the distribution of travel times by repeated simulation106 cited
  • 2016Have they bunched yet? An exploratory study of the impacts of bus bunching on dwell and running times42 cited
  • 2012Bus Bunching Detection by Mining Sequences of Headway Deviations33 cited
  • 2011Empirical Findings of Bus Bunching Distributions and Attributes Using Archived AVL/APC Bus Data33 cited
  • 2014An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time25 cited

Cited by

  • 2019Mining Customized Bus Demand Spots Based on Smart Card Data: A Case Study of the Beijing Public Transit System

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13 cited
  • 2024An overview of solutions to the bus bunching problem in urban bus systems12 cited
  • 2021Bus bunching from a stop-based perspective: insights from visual analytics4 cited