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Japanese travel behavior trends and change under COVID-19 state-of-emergency declaration: Nationwide observation by mobile phone location data
8 references·16 citing·38 second hop
Japanese travel behavior trends and change under COVID-19 state-of-emergency declaration: Nationwide observation by mobile phone location data (2020)Japanese travel behavior trends and chang…Corrigendum to Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction [Transp. Res. Interdiscip. Perspect. 7 (2020) 100181] (2022)Corrigendum to Travel behavio…Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction (2020)Travel behavior changes durin…The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)The link between bike sharing…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…How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago (2020)How is COVID-19 reshaping act…How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands (2020)How COVID-19 and the Dutch ‘i…Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations (2020)Changes in urban mobility in …Applying mobile phone data to travel behaviour research: A literature review (2017)Applying mobile phone data to…Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis (2024)Linking short- and long-term …Light in the darkness: Urban nightlife, analyzing the impact and recovery of COVID-19 using mobile phone data (2024)Light in the darkness: Urban …Understanding changes in travel patterns during the COVID-19 outbreak in the three major metropolitan areas of Japan (2023)Understanding changes in trav…Mobile phone data reveals spatiotemporal recreational patterns in conservation areas during the COVID pandemic (2023)Mobile phone data reveals spa…How COVID-19 transformed the landscape of transportation research: an integrative scoping review and roadmap for future research (2023)How COVID-19 transformed the …Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China (2022)Unraveling the dynamic impact…Influence of trip distance and population density on intra-city mobility patterns in Tokyo during COVID-19 pandemic (2022)Influence of trip distance an…Exploring the Spatio-Temporal and Behavioural Variations in Taxi Travel Based on Big Data during the COVID-19 Pandemic: A Case Study of New York City (2022)Exploring the Spatio-Temporal…Data analytics during pandemics: a transportation and location planning perspective (2022)Data analytics during pandemi…Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities (2022)Changes in mobility amid the …Population movements based on mobile phone location data: the Czech Republic (2021)Population movements based on…Is travel behaviour an equity issue? Using GPS location data to assess the effects of income and supermarket availability on travel reduction during the COVID-19 pandemic (2021)Is travel behaviour an equity…Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City (2021)Impact of Social Media on Tra…Characterization of COVID-19’s Impact on Mobility and Short-Term Prediction of Public Transport Demand in a Mid-Size City in Spain (2021)Characterization of COVID-19’…Abrupt changes, institutional reactions, and adaptive behaviors: An exploratory study of COVID-19 and related events' impacts on Hong Kong's metro riders (2021)Abrupt changes, institutional…A user opinion survey on the probable impact of COVID-19 on long-distance travel in India (2021)A user opinion survey on the …Understanding individual human mobility patterns (2008)Travel and the Built Environment (2010)Big data: The next frontier for innovation, competition, and productivity (2011)Transport mode detection based on mobile phone network data: A systematic review (2019)An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain (2020)Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity (2023)The theory of planned behavior (1991)Reconsidering Political and Popular Understandings of the Digital Divide (2004)Transport and social exclusion: Where are we now? 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this work references cited by second hop

References

  • 2020How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands734 cited
  • 2020How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago548 cited
  • 2020Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts434 cited
  • 2020The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike395 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review368 cited
  • 2020Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction308 cited
  • 2020Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations115 cited
  • 2022Corrigendum to Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction [Transp. Res. Interdiscip. Perspect. 7 (2020) 100181]95 cited

Cited by

  • 2022Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China44 cited
  • 2021Characterization of COVID-19’s Impact on Mobility and Short-Term Prediction of Public Transport Demand in a Mid-Size City in Spain31 cited
  • 2021Abrupt changes, institutional reactions, and adaptive behaviors: An exploratory study of COVID-19 and related events' impacts on Hong Kong's metro riders29 cited

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2023
How COVID-19 transformed the landscape of transportation research: an integrative scoping review and roadmap for future research
24 cited
  • 2021Population movements based on mobile phone location data: the Czech Republic23 cited
  • 2022Influence of trip distance and population density on intra-city mobility patterns in Tokyo during COVID-19 pandemic19 cited
  • 2023Understanding changes in travel patterns during the COVID-19 outbreak in the three major metropolitan areas of Japan18 cited
  • 2021A user opinion survey on the probable impact of COVID-19 on long-distance travel in India18 cited
  • 2024Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis17 cited
  • 2021Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City17 cited
  • 2022Exploring the Spatio-Temporal and Behavioural Variations in Taxi Travel Based on Big Data during the COVID-19 Pandemic: A Case Study of New York City16 cited
  • 2023Mobile phone data reveals spatiotemporal recreational patterns in conservation areas during the COVID pandemic14 cited
  • 2024Light in the darkness: Urban nightlife, analyzing the impact and recovery of COVID-19 using mobile phone data13 cited
  • 2022Data analytics during pandemics: a transportation and location planning perspective13 cited
  • 2022Changes in mobility amid the COVID-19 pandemic in Sapporo City, Japan: An investigation through the relationship between spatiotemporal population density and urban facilities11 cited
  • 2021Is travel behaviour an equity issue? Using GPS location data to assess the effects of income and supermarket availability on travel reduction during the COVID-19 pandemic10 cited