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On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies
12 references·1 citing·40 second hop
On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies (2019)On the accuracy and potential of Google M…Using Google Location History data to quantify fine-scale human mobility (2018)Using Google Location History…Reconstructing Activity Location Sequences From Incomplete Check-In Data: A Semi-Markov Continuous-Time Bayesian Network Model (2017)Reconstructing Activity Locat…A Generative Model of Urban Activities from Cellular Data (2017)A Generative Model of Urban A…The TimeGeo modeling framework for urban mobility without travel surveys (2016)The TimeGeo modeling framewor…Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 (2016)Global, regional, and nationa…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…coMobile (2015)coMobileA probabilistic kernel method for human mobility prediction with smartphones (2014)A probabilistic kernel method…Spatiotemporal Patterns of Urban Human Mobility (2012)Spatiotemporal Patterns of Ur…A Tale of One City: Using Cellular Network Data for Urban Planning (2011)A Tale of One City: Using Cel…Learning and inferring transportation routines (2007)Learning and inferring transp…Micro-simulation of daily activity-travel patterns for travel demand forecasting (2000)Micro-simulation of daily act…Bring Your Own Location Data: Use of Google Smartphone Location History Data for Environmental Health Research (2022)Bring Your Own Location Data:…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban Travel Demand: A Behavioral Analysis (1977)A theoretical and empirical model of trip chaining behavior (1979)A tour-based model of travel mode choice (2005)Collective Human Mobility Pattern from Taxi Trips in Urban Area (2012)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)Reality mining: sensing complex social systems (2005)Understanding mobility based on GPS data (2008)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)A review of urban computing for mobile phone traces (2013)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Predestination: Inferring Destinations from Partial Trajectories (2006)Limits of Predictability in Human Mobility (2010)Human mobility in space from three modes of public transportation (2017)A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz (2018)How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology (2018)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Big Data Integration (2013)Data from mobile phone operators: A tool for smarter cities? (2014)Citizens as sensors: the world of volunteered geography (2007)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)A survey on deep learning for human mobility (2023)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Friendship and mobility (2011)Transport modelling in the age of big data (2017)Learning to Simulate Human Mobility (2020)Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis (2020)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)The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis (2017)Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 (2018)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)
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References

  • 2016Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 20157,699 cited
  • 2007Learning and inferring transportation routines798 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2016The TimeGeo modeling framework for urban mobility without travel surveys295 cited
  • 2012Spatiotemporal Patterns of Urban Human Mobility282 cited
  • 2011A Tale of One City: Using Cellular Network Data for Urban Planning275 cited
  • 2000Micro-simulation of daily activity-travel patterns for travel demand forecasting216 cited
  • 2017A Generative Model of Urban Activities from Cellular Data185 cited
  • 2018Using Google Location History data to quantify fine-scale human mobility119 cited
  • 2014A probabilistic kernel method for human mobility prediction with smartphones66 cited
  • 2017Reconstructing Activity Location Sequences From Incomplete Check-In Data: A Semi-Markov Continuous-Time Bayesian Network Model49 cited
  • 2015coMobile36 cited

Cited by

  • 2022Bring Your Own Location Data: Use of Google Smartphone Location History Data for Environmental Health Research22 cited

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