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Longitudinal and spatial analysis of Americans’ travel distances following COVID-19
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References

  • 2020How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands734 cited
  • 2020Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability645 cited
  • 2018‘No Ebola…still doomed’ – The Ebola-induced tourism crisis642 cited
  • 2020How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago548 cited
  • 2011The impact of non-pharmaceutical interventions for 2009 H1N1 influenza on travel intentions: A model of goal-directed behavior451 cited
  • 2020Mapping county-level mobility pattern changes in the United States in response to COVID-19226 cited
  • 2021Effect of COVID-19 response policies on walking behavior in US cities192 cited
  • 2021Evidence of a post-COVID change in travel behaviour – Self-reported expectations of commuting in Melbourne164 cited
  • 2020COVID-19 impact on urban mobility154 cited
  • 2020Impact of physical distancing due to novel coronavirus (SARS-CoV-2) on daily travel for work during transition to lockdown153 cited
  • 2022COVID-19 impact on teleactivities: Role of built environment and implications for mobility83 cited
  • 2022Teleworking during COVID-19 in the Netherlands: Understanding behaviour, attitudes, and future intentions of train travellers83 cited
  • 2021Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece

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82 cited
  • 2022Executive orders or public fear: What caused transit ridership to drop in Chicago during COVID-19?61 cited
  • 2020COVID-19 presents opportunities and threats to transport and health57 cited
  • Cited by

    • 2024Exploring collective activity space and its spatial heterogeneity using mobile phone signaling Data: A case of Shenzhen, China19 cited
    • 2023Estimating post-pandemic effects of working from home and teleconferencing on travel behaviour19 cited
    • 2024Exploring the changes of individuals’ travel behavior in response to COVID-19 and their influencing factors based on mobile phone data19 cited
    • 2023Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong17 cited
    • 2024Neighborhood-level determining factors of travel distance by trip purpose: Policy implications for the N-minute city16 cited
    • 2024Nonlinear Relationship of Multi-Source Land Use Features with Temporal Travel Distances at Subway Station Level: Empirical Study from Xi’an City14 cited
    • 2024Multiscalar trip resilience and metro station-area characteristics: A case study of Hong Kong amid the pandemic11 cited
    • 2023A longitudinal analysis of the COVID-19 effects on the variability in human activity spaces in Quito, Ecuador9 cited
    • 2024Socioeconomic variations in walking rates in the United States: Recent evidence from the 2022 National Household Travel Survey9 cited
    • 2024Analysis of Functional Living Zones Changes and Influencing Factors of Travel Distance Before and After COVID-19 in Seoul, Korea : Using Mobile Phone-based Mobility Bigdata and Community Detection6 cited
    • 2024Nonlinear Effects of the Built Environment on Subways at Station Level: Average Travel Distance Changes under the Influence of COVID-195 cited
    • 2025Understanding the spatiotemporal response of dockless bike-sharing travel behavior to the small outbreaks of COVID-195 cited