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How Has the Paris Rail Public-Transportation Network Recovered After the COVID-19 Pandemic? Applying a Mixture of Regressions Model
16 references·0 citing·51 second hopsampled
How Has the Paris Rail Public-Transportation Network Recovered After the COVID-19 Pandemic? Applying a Mixture of Regressions Model (2024)How Has the Paris Rail Public-Transportat…Using smart card data to model public transport user profiles in light of the COVID-19 pandemic (2023)Using smart card data to mode…On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities (2023)On the bumpy road to recovery…Identifying human mobility patterns using smart card data (2023)Identifying human mobility pa…Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile (2023)Estimation of trip purposes i…Disparities in the Impacts of the COVID-19 Pandemic on Public Transit Ridership in Austin, Texas, U.S.A (2023)Disparities in the Impacts of…Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile (2022)Estimation of crowding factor…Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic (2022)Characterising public transpo…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…What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition (2021)What can we learn from 9 year…Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model (2021)Structural equation modeling …Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data (2021)Investigating spatio-temporal…Impacts of COVID-19 on the usage of public bicycle share in London (2021)Impacts of COVID-19 on the us…Impacts of COVID-19 and pandemic control measures on public transport ridership in European urban areas – The cases of Vienna, Innsbruck, Oslo, and Agder (2021)Impacts of COVID-19 and pande…How did the COVID-19 pandemic impact traveler behavior toward public transport? The case of Athens, Greece (2021)How did the COVID-19 pandemic…Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency (2021)Active mobility in an Italian…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…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)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)United but divided: Policy responses and people’s perceptions in the EU during the COVID-19 outbreak (2020)COVID-19 and transport: Findings from a world-wide expert survey (2021)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)Location and Land Use: Toward a General Theory of Land Rent (1964)The theory of planned behavior (1991)Priority actions for the non-communicable disease crisis (2011)Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model (2021)The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel (2022)Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands (2022)What is coefficient alpha? An examination of theory and applications. (1993)Statistical and Econometric Methods for Transportation Data Analysis (2003)Making sense of Cronbach's alpha (2011)Application of Protection Motivation Theory to Quantify the Impact of Pandemic Fear on Anticipated Postpandemic Transit Usage (2022)The Outbreak of COVID-19 Pandemic in Relation to Sense of Safety and Mobility Changes in Public Transport Using the Example of Warsaw (2022)Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic (2023)Sustainable Urban Transport in the Developing World: Beyond Megacities (2015)How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands (2020)The effect of COVID-19 and subsequent social distancing on travel behavior (2020)COVID-19 Countermeasures and Passengers’ Confidence of Urban Rail Travel in Bangkok (2021)Impact of COVID-19 pandemic lockdown on the public transportation system and strategic plans to improve PT ridership: a review (2021)Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility (2023)How many jobs can be done at home? (2020)The COVID-19 Pandemic: a Call to Action to Identify and Address Racial and Ethnic Disparities (2020)When the impossible becomes possible: COVID-19’s impact on work and travel patterns in Swedish public agencies (2021)Robustness and disturbances in public transport (2022)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London (2021)Prioritization of sustainable mobility sharing systems using integrated fuzzy DIBR and fuzzy-rough EDAS model (2022)COVID-19 and cycling: a review of the literature on changes in cycling levels and government policies from 2019 to 2022 (2023)Cartography: Thematic Map Design (1990)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China (2022)Social and spatial heterogeneities in COVID-19 impacts on individual's metro use: A big-data driven causality inference (2023)Who is returning to public transport for non-work trips after COVID-19? Evidence from older citizens' smart cards in the UK's second largest city region (2023)From Intentions to Actions: A Theory of Planned Behavior (1985)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Changes in People’s Mobility Behavior in Greece after the COVID-19 Outbreak (2022)Wishful thinking? Addressing the long-term implications of COVID-19 for transport in Nigeria (2022)Understanding individual-level travel behavior changes due to COVID-19: Trip frequency, trip regularity, and trip distance (2023)Structural equations with latent variables (1989)Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level (1998)The Mixed Logit model: The state of practice (2003)The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data (2022)Human mobility: Models and applications (2018)Unravelling the spatial properties of individual mobility patterns using longitudinal travel data (2022)Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation (2024)A review of human mobility: Linking data, models, and real-world applications (2025)
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References

  • 2020Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts436 cited
  • 2021Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency127 cited
  • 2021Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data94 cited
  • 2021Impacts of COVID-19 on the usage of public bicycle share in London75 cited
  • 2021How did the COVID-19 pandemic impact traveler behavior toward public transport? The case of Athens, Greece72 cited
  • 2021Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model64 cited
  • 2023Identifying human mobility patterns using smart card data61 cited
  • 2022Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile56 cited
  • 2021Impacts of COVID-19 and pandemic control measures on public transport ridership in European urban areas – The cases of Vienna, Innsbruck, Oslo, and Agder55 cited
  • 2021Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data52 cited
  • 2022Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic46 cited
  • 2023Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile24 cited

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  • 2023Using smart card data to model public transport user profiles in light of the COVID-19 pandemic20 cited
  • 2021What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition17 cited
  • 2023Disparities in the Impacts of the COVID-19 Pandemic on Public Transit Ridership in Austin, Texas, U.S.A13 cited
  • 2023On the bumpy road to recovery: resilience of public transport ridership during COVID-19 in 15 European cities11 cited
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