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Changes of Spatiotemporal Pattern and Network Characteristic in Population Flow under COVID-19 Epidemic
14 references·0 citing·48 second hop
Changes of Spatiotemporal Pattern and Network Characteristic in Population Flow under COVID-19 Epidemic (2021)Changes of Spatiotemporal Pattern and Net…Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Mobile phone data for informi…Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis (2020)Measuring the impact of COVID…Mapping global variation in human mobility (2020)Mapping global variation in h…Economic and social consequences of human mobility restrictions under COVID-19 (2020)Economic and social consequen…COVID-19: Challenges to GIS with Big Data (2020)COVID-19: Challenges to GIS w…COVID-19 data sources: evaluation of map applications and analysis of behavior changes in Europe’s population (2020)COVID-19 data sources: evalua…Migration patterns in China extracted from mobile positioning data (2019)Migration patterns in China e…Using Google Location History data to quantify fine-scale human mobility (2018)Using Google Location History…Re-urbanizing the European City: A Multivariate Analysis of Population Dynamics During Expansion and Recession Times (2018)Re-urbanizing the European Ci…Population migration, urbanization and housing prices: Evidence from the cities in China (2017)Population migration, urbaniz…Difference of urban development in China from the perspective of passenger transport around Spring Festival (2017)Difference of urban developme…Spatial-Temporal Analysis on Spring Festival Travel Rush in China Based on Multisource Big Data (2016)Spatial-Temporal Analysis on …China’s different spatial patterns of population growth based on the “Hu Line” (2016)China’s different spatial pat…Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Understanding aggregate human…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Place and Placelessness (1978)Understanding individual human mobility patterns (2008)Understanding the bias of call detail records in human mobility research (2016)Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data (2018)Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach (2020)Geographical Research (1951)Understanding the changing planet: strategic directions for the geographical sciences (2011)Impacts of the scattered coal consumption on PM2.5 pollution in China (2019)The Sustainable Development of Choronymic Cultural Landscapes in China Based on Geo-Informatic Tupu (2019)Spatial and temporal changes in population distribution and population projection at county level in China (2024)HUMAN MIGRATION: THEORY, MODELS, AND EMPIRICAL STUDIES* (1985)Urban growth and housing supply (2005)Immigration and housing rents in American cities (2006)Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China (2019)An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants (2022)Spatial heterogeneity of demographic structure effects on urban carbon emissions (2022)Discovering regions of different functions in a city using human mobility and POIs (2012)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)The trends, promises and challenges of urbanisation in the world (2015)Inferring spatial interaction patterns from sequential snapshots of spatial distributions (2017)Spatial patterns and determinant factors of population flow networks in China: Analysis on Tencent Location Big Data (2020)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Exploring the use of mobile phone data for national migration statistics (2019)Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine (2019)Uncovering temporal changes in Europe’s population density patterns using a data fusion approach (2020)Crowdsourcing geographic information for disaster response: a research frontier (2010)COVID-19 and urban public transport services: emerging challenges and research agenda (2020)Mapping county-level mobility pattern changes in the United States in response to COVID-19 (2020)Roles of Innovation Leadership on Using Big Data Analytics to Establish Resilient Healthcare Supply Chains to Combat the COVID-19 Pandemic: A Multimethodological Study (2021)Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tōhoku Earthquake (2018)A Literature Review of the Economics of Covid-19 (2020)Aggregated mobility data could help fight COVID-19 (2020)Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic (2021)Government response moderates the mental health impact of COVID-19: A systematic review and meta-analysis of depression outcomes across countries (2021)Power-Law Distributions in Empirical Data (2009)Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015 (2016)Power-law distributions in empirical data (2018)A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic (2020)Future directions in human mobility science (2023)Resilience patterns of human mobility in response to extreme urban floods (2023)Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study (2020)Emerging COVID-19 impacts, responses, and lessons for building resilience in the seafood system (2021)A survey on deep learning for human mobility (2023)A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development (2020)Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland (2021)Global economic impacts of COVID-19 lockdown measures stand out in high-frequency shipping data (2021)
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References

  • 2020Economic and social consequences of human mobility restrictions under COVID-191,003 cited
  • 2020Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle630 cited
  • 2020COVID-19: Challenges to GIS with Big Data516 cited
  • 2017Population migration, urbanization and housing prices: Evidence from the cities in China193 cited
  • 2015Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach189 cited
  • 2020Mapping global variation in human mobility137 cited
  • 2020Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis124 cited
  • 2018Using Google Location History data to quantify fine-scale human mobility119 cited
  • 2017Difference of urban development in China from the perspective of passenger transport around Spring Festival118 cited
  • 2016China’s different spatial patterns of population growth based on the “Hu Line”112 cited
  • 2016Spatial-Temporal Analysis on Spring Festival Travel Rush in China Based on Multisource Big Data71 cited
  • 2019Migration patterns in China extracted from mobile positioning data64 cited
  • 2018Re-urbanizing the European City: A Multivariate Analysis of Population Dynamics During Expansion and Recession Times31 cited
  • 2020

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COVID-19 data sources: evaluation of map applications and analysis of behavior changes in Europe’s population
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