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Understanding mobility dynamics using urban functions during the COVID-19 pandemic: comparison of pre-and post-new normal eras
16 references·0 citing·55 second hopsampled
Understanding mobility dynamics using urban functions during the COVID-19 pandemic: comparison of pre-and post-new normal eras (2022)Understanding mobility dynamics using urb…Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City (2021)Spatiotemporal Patterns of Hu…How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics (2021)How did micro-mobility change…How did human dwelling and working intensity change over different stages of COVID-19 in Beijing? (2021)How did human dwelling and wo…A multi-view of the daily urban rhythms of human mobility in the Tokyo metropolitan area (2021)A multi-view of the daily urb…Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations (2020)Changes in urban mobility in …An artificial neural network approach for cost estimation of engineering services (2019)An artificial neural network …The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce (2018)The Alibaba effect: Spatial c…Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Modeling real-time human mobi…An Updated Literature Review of Distance Correlation and Its Applications to Time Series (2018)An Updated Literature Review …Measuring economic activity in China with mobile big data (2017)Measuring economic activity i…Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)Unveiling hidden migration an…Simulating human mobility patterns in urban areas (2016)Simulating human mobility pat…Big data has big potential for applications to climate change adaptation (2016)Big data has big potential fo…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Urbanisation and everyday mobility.Long-term changes of travel in urban areas of Sweden (2011)Urbanisation and everyday mob…Exploring space–time structure of human mobility in urban space (2010)Exploring space–time structur…Reality mining: sensing complex social systems (2005)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Human mobility in space from three modes of public transportation (2017)Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns (2017)Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-Scale Analysis and Visualization Study with Taxi GPS Data (2019)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Development of origin–destination matrices using mobile phone call data (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The universal visitation law of human mobility (2021)The age of migration: international population movements in the modern world (1994)The Age of Migration: International Population Movements in the Modern World (2005)Disruption, not displacement: Environmental variability and temporary migration in Bangladesh (2017)Toward data-driven, dynamical complex systems approaches to disaster resilience (2022)Poverty, Livelihoods and Sustainable Development (2023)Computational Social Science (2009)Twitter mood predicts the stock market (2011)Predicting the Present with Google Trends (2012)Using social media to quantify spatial and temporal dynamics of nature-based recreational activities (2018)Techno-optimism and policy-pessimism in the public sector big data debate (2019)“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive? (2021)Beyond the hype: Big data concepts, methods, and analytics (2014)Systematic review approaches for climate change adaptation research (2015)A qualitative comparative analysis of women’s agency and adaptive capacity in climate change hotspots in Asia and Africa (2019)Big Data and Climate Change (2019)The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking (2021)Limits of Predictability in Human Mobility (2010)Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example (2019)New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data (2020)Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform (2021)Analysis of factors influencing project cost estimating practice (2000)Project Management: Planning and Control Techniques (2000)Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning (2004)The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects (2021)Machine learning-aided engineering services' cost overruns prediction in high-rise residential building projects: Application of random forest regression (2022)Advancement of Artificial Intelligence in Cost Estimation for Project Management Success: A Systematic Review of Machine Learning, Deep Learning, Regression, and Hybrid Models (2025)How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands (2020)Japanese travel behavior trends and change under COVID-19 state-of-emergency declaration: Nationwide observation by mobile phone location data (2020)Modal share changes due to COVID-19: The case of Budapest (2020)The effect of COVID-19 and subsequent social distancing on travel behavior (2020)Impacts of COVID-19 on transportation: Summary and synthesis of interdisciplinary research (2021)Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method (2021)Frictionless Commerce? A Comparison of Internet and Conventional Retailers (2000)Plants and Productivity in International Trade (2003)Export Versus FDI with Heterogeneous Firms (2004)The Real Impact of FinTech: Evidence from Mobile Payment Technology (2020)COVID-19 and E-Commerce Operations: Evidence from Alibaba (2022)Does e-commerce narrow the urban–rural income gap? Evidence from Chinese provinces (2022)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Economic and social consequences of human mobility restrictions under COVID-19 (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London (2021)Understanding travel behavior adjustment under COVID-19 (2022)Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility (2023)
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References

  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2018The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce218 cited
  • 2016Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh193 cited
  • 2018Modeling real-time human mobility based on mobile phone and transportation data fusion150 cited
  • 2019An artificial neural network approach for cost estimation of engineering services135 cited
  • 2016Big data has big potential for applications to climate change adaptation117 cited
  • 2020Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations115 cited
  • 2021How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics115 cited
  • 2017Measuring economic activity in China with mobile big data63 cited
  • 2010Exploring space–time structure of human mobility in urban space61 cited
  • 2018An Updated Literature Review of Distance Correlation and Its Applications to Time Series57 cited
  • 2016Simulating human mobility patterns in urban areas53 cited
  • 2021How did human dwelling and working intensity change over different stages of COVID-19 in Beijing?51 cited
  • 2021

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Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City
41 cited
  • 2021A multi-view of the daily urban rhythms of human mobility in the Tokyo metropolitan area40 cited
  • 2011Urbanisation and everyday mobility.Long-term changes of travel in urban areas of Sweden39 cited
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