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Assessing effects of pandemic-related policies on individual public transit travel patterns: A Bayesian online changepoint detection based framework
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Assessing effects of pandemic-related policies on individual public transit travel patterns: A Bayesian online changepoint detection based framework (2024)Assessing effects of pandemic-related pol…Impact of COVID-19 on Public Transit Accessibility and Ridership (2023)Impact of COVID-19 on Public …Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data (2021)Who continued travelling by p…The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area (2021)The impact of COVID-19 pandem…Public transit use in the United States in the era of COVID-19: Transit riders’ travel behavior in the COVID-19 impact and recovery period (2021)Public transit use in the Uni…Flood impacts on urban transit and accessibility—A case study of Kinshasa (2021)Flood impacts on urban transi…COVID-19 passenger transport measures and their impacts (2021)COVID-19 passenger transport …Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts (2020)Impacts of COVID-19 on public…Individual mobility prediction using transit smart card data (2018)Individual mobility predictio…Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul (2017)Exposure to fear: Changes in …A survey of methods for time series change point detection (2016)A survey of methods for time …Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Early Assessment of Anxiety and Behavioral Response to Novel Swine-Origin Influenza A(H1N1) (2009)Early Assessment of Anxiety a…Precautionary Behavior in Response to Perceived Threat of Pandemic Influenza (2007)Precautionary Behavior in Res…Bayesian Online Changepoint Detection (2007)Bayesian Online Changepoint D…An online kernel change detection algorithm (2005)An online kernel change detec…Adaptive sequential segmentation of piecewise stationary time series (1983)Adaptive sequential segmentat…An evaluation of the long-term effects of the COVID-19 pandemic on public transit use in the United States (2025)An evaluation of the long-ter…CONTINUOUS INSPECTION SCHEMES (1954)A Test for a Change in a Parameter Occurring at an Unknown Point (1955)Procedures for Reacting to a Change in Distribution (1971)Change-point detection in time-series data by relative density-ratio estimation (2013)Detection of suicide-related posts in Twitter data streams (2018)Sequential (Quickest) Change Detection: Classical Results and New Directions (2021)Observing the rhythms of daily life: A six-week travel diary (2002)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Clustering Smart Card Data for Urban Mobility Analysis (2016)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Risk perceptions and their relation to risk behavior (2004)Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management (2006)Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. (2007)A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics (2016)The impact of Covid-19, associated behaviours and policies on the UK economy: A computable general equilibrium model (2020)Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study (2021)Detection of abrupt changes. Theory and application (1994)Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation (2009)Sequential change‐point detection based on direct density‐ratio estimation (2011)Graph-based change-point detection (2014)SOCIAL NETWORKS, HOST RESISTANCE, AND MORTALITY: A NINE-YEAR FOLLOW-UP STUDY OF ALAMEDA COUNTY RESIDENTS (1979)The Social Amplification of Risk: A Conceptual Framework (1988)Research methods in anthropology: qualitative and quantitative approaches (2002)The dynamics of risk perceptions and precautionary behavior in response to 2009 (H1N1) pandemic influenza (2010)COVID-19 is rapidly changing: Examining public perceptions and behaviors in response to this evolving pandemic (2020)Personality Traits, Risk Perception, and Protective Behaviors of Arab Residents of Qatar During the COVID-19 Pandemic (2020)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Speech and language processing (2010)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction (2020)Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)COVID-19 and Public Transportation: Current Assessment, Prospects, and Research Needs (2020)Impact of the COVID-19 pandemic on travel behavior in Istanbul: A panel data analysis (2020)COVID-19 and transport: Findings from a world-wide expert survey (2021)Transport and social exclusion: Where are we now? (2012)The effect of COVID-19 and subsequent social distancing on travel behavior (2020)Covid-19 pandemic impacts on essential transit riders: Findings from a U.S. Survey (2022)Executive orders or public fear: What caused transit ridership to drop in Chicago during COVID-19? (2022)Transportation barriers to care among frequent health care users during the COVID pandemic (2022)Time series segmentation: A sliding window approach (1995)Off-line statistical analysis of change-point models using non parametric and likelihood methods (2005)Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation (2021)Selective review of offline change point detection methods (2019)Time lag effects of COVID-19 policies on transportation systems: A comparative study of New York City and Seattle (2021)
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References

  • 2016A survey of methods for time series change point detection1,245 cited
  • 2007Bayesian Online Changepoint Detection601 cited
  • 2020Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts434 cited
  • 2009Early Assessment of Anxiety and Behavioral Response to Novel Swine-Origin Influenza A(H1N1)427 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2005An online kernel change detection algorithm272 cited
  • 2007Precautionary Behavior in Response to Perceived Threat of Pandemic Influenza270 cited
  • 2021Public transit use in the United States in the era of COVID-19: Transit riders’ travel behavior in the COVID-19 impact and recovery period220 cited
  • 1983Adaptive sequential segmentation of piecewise stationary time series195 cited
  • 2018Individual mobility prediction using transit smart card data140 cited
  • 2023Impact of COVID-19 on Public Transit Accessibility and Ridership104 cited
  • 2021Flood impacts on urban transit and accessibility—A case study of Kinshasa104 cited
  • 2017Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul103 cited
  • 2021The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area

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103 cited
  • 2021COVID-19 passenger transport measures and their impacts99 cited
  • 2021Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data94 cited
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    • 2025An evaluation of the long-term effects of the COVID-19 pandemic on public transit use in the United States5 cited