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Estimating human trajectories and hotspots through mobile phone data
6 references·16 citing·38 second hop
Estimating human trajectories and hotspots through mobile phone data (2014)Estimating human trajectories and hotspot…Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)Transportation mode inference…The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)The Geography of Taste: Analy…Understanding individual human mobility patterns (2009)Understanding individual huma…Understanding individual human mobility patterns (2008)Understanding individual huma…What about people in Regional Science? (1970)What about people in Regional…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)WHAT ABOUT PEOPLE IN REGIONAL…Quantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China (2022)Quantifying human mobility re…Exploring both home-based and work-based jobs-housing balance by distance decay effect (2021)Exploring both home-based and…A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France) (2020)A data-driven approach for or…Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data (2019)Reconstruction of human movem…Complete trajectory reconstruction from sparse mobile phone data (2019)Complete trajectory reconstru…Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records (2018)Mapping hourly dynamics of ur…Spatial context mining approach for transport mode recognition from mobile sensed big data (2017)Spatial context mining approa…Closer to the total? Long-distance travel of French mobile phone users (2017)Closer to the total? Long-dis…A hybrid Markov-based model for human mobility prediction (2017)A hybrid Markov-based model f…Travel demand estimation and network assignment based on cellular network data (2016)Travel demand estimation and …Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots (2016)Exploring Spatial-Temporal Pa…Urban magnetism through the lens of geo-tagged photography (2015)Urban magnetism through the l…Traffic zone division based on big data from mobile phone base stations (2015)Traffic zone division based o…Scaling of City Attractiveness for Foreign Visitors through Big Data of Human Economical and Social Media Activity (2015)Scaling of City Attractivenes…Choosing the Right Home Location Definition Method for the Given Dataset (2015)Choosing the Right Home Locat…Data from mobile phone operators: A tool for smarter cities? (2014)Data from mobile phone operat…The Global City (1991)The Rise of the Network Society (2009)Big data and understanding change in the context of planning transport systems (2018)Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations (2020)New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data (2020)Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)A Tale of One City: Using Cellular Network Data for Urban Planning (2011)From taxi GPS traces to social and community dynamics (2013)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development (2020)Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)Next-generation visitation models using social media to estimate recreation on public lands (2020)The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)Understanding mobility based on GPS data (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Transport mode detection based on mobile phone network data: A systematic review (2019)Modelling the scaling properties of human mobility (2010)Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification (2021)Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction (2021)Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability (2022)International Encyclopedia of Unified Science (1937)Accessibility, equity and health care: review and research directions for transport geographers (2015)Geographical and Temporal Weighted Regression (GTWR) (2015)Limits of Predictability in Human Mobility (2010)Forecasting supply chain resilience performance using grey prediction (2016)Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia (2018)Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications (2019)Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Human mobility: Models and applications (2018)Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)From mobile phone data to the spatial structure of cities (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 1970WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?3,414 cited
  • 1970What about people in Regional Science?1,584 cited
  • 2009Understanding individual human mobility patterns484 cited
  • 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events280 cited
  • 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records207 cited

Cited by

  • 2014Data from mobile phone operators: A tool for smarter cities?184 cited
  • 2015Traffic zone division based on big data from mobile phone base stations136 cited
  • 2015Urban magnetism through the lens of geo-tagged photography108 cited
  • 2017A hybrid Markov-based model for human mobility prediction91 cited
  • 2019Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data90 cited
  • 2015Scaling of City Attractiveness for Foreign Visitors through Big Data of Human Economical and Social Media Activity81 cited
  • 2018Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records72 cited
  • 2017Closer to the total? Long-distance travel of French mobile phone users71 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2019
Complete trajectory reconstruction from sparse mobile phone data
70 cited
  • 2015Choosing the Right Home Location Definition Method for the Given Dataset70 cited
  • 2020A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)68 cited
  • 2022Quantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China63 cited
  • 2016Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots63 cited
  • 2017Spatial context mining approach for transport mode recognition from mobile sensed big data61 cited
  • 2021Exploring both home-based and work-based jobs-housing balance by distance decay effect60 cited
  • 2016Travel demand estimation and network assignment based on cellular network data57 cited