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Development of a maximum likelihood regression tree-based model for predicting subway incident delay
3 references·3 citing·28 second hop
Development of a maximum likelihood regression tree-based model for predicting subway incident delay (2015)Development of a maximum likelihood regre…The impact of mobile phone distraction on the braking behaviour of young drivers: A hazard-based duration model (2014)The impact of mobile phone di…Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations (2010)Fault and Event Tree Analyses…Classification of errors contributing to rail incidents and accidents: A comparison of two human error identification techniques (2008)Classification of errors cont…Analyzing the transfer duration of public transport passengers using classification and regression tree-multiple-Cox proportional hazards (CART-Multi-Cox) model (2024)Analyzing the transfer durati…Comparative study of statistical and machine learning methods for streetcar incident duration analysis (2022)Comparative study of statisti…Subway station dwell time prediction and user-induced delay (2020)Subway station dwell time pre…A guide to practical human reliability assessment (1995)A Human Error Approach to Aviation Accident Analysis: The Human Factors Analysis and Classification System (2003)Managing error on the open road: The contribution of human error models and methods (2010)An accident causation model for the railway industry: Application of the model to 80 rail accident investigation reports from the UK (2013)A Guide to Practical Human Reliability Assessment (2017)Paths between latent and active errors: Analysis of 407 railway accidents/incidents’ causes in China (2017)Fuzzy sets (1965)On the dempster-shafer framework and new combination rules (1987)Fuzzy sets (1996)A review of applications of fuzzy sets to safety and reliability engineering (2018)Safety analysis of process systems using Fuzzy Bayesian Network (FBN) (2018)Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis (2019)Estimation of Bus Dwell Times with Automatic Passenger Counter Information (2003)Statistical and Econometric Methods for Transportation Data Analysis (2003)Urban Transit: Operations, Planning and Economics (2006)Exploring Melbourne Metro Train Passengers’ Pre-Boarding Behaviors and Perceptions (2023)Discrete Choice Methods with Simulation (2001)Modelling the impact of causal and non-causal factors on disruption duration for Toronto’s subway system: An exploratory investigation using hazard modelling (2016)Evacuating metro passengers via the urban bus system under uncertain disruption recovery time and heterogeneous risk-taking behaviour (2020)Analysis of Panel Data (2003)Decision making, impulsivity and time perception (2007)Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity (2011)An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance (2006)Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques (2006)A meta-analysis of the effects of cell phones on driver performance (2008)Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers (2017)Mobile phone use during driving: Effects on speed and effectiveness of driver compensatory behaviour (2017)Modelling driver distraction effects due to mobile phone use on reaction time (2017)
this work references cited by second hop

References

  • 2010Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations252 cited
  • 2014The impact of mobile phone distraction on the braking behaviour of young drivers: A hazard-based duration model185 cited
  • 2008Classification of errors contributing to rail incidents and accidents: A comparison of two human error identification techniques134 cited

Cited by

  • 2020Subway station dwell time prediction and user-induced delay12 cited
  • 2024Analyzing the transfer duration of public transport passengers using classification and regression tree-multiple-Cox proportional hazards (CART-Multi-Cox) model5 cited
  • 2022Comparative study of statistical and machine learning methods for streetcar incident duration analysis4 cited

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