SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Estimating population density distribution from network-based mobile phone data
0 references·11 citing·42 second hop
Estimating population density distribution from network-based mobile phone data (2015)Estimating population density distributio…Assessing mobile phone data as proxy census commuting data for transport geography research: a critical review and case study (2025)Assessing mobile phone data a…Exploring methods for mapping seasonal population changes using mobile phone data (2022)Exploring methods for mapping…Spatial interpolation of mobile positioning data for population statistics (2021)Spatial interpolation of mobi…On the Estimation of Spatial Density From Mobile Network Operator Data (2021)On the Estimation of Spatial …Challenges and opportunities in accessing mobile phone data for COVID-19 response in developing countries (2021)Challenges and opportunities …User Community Identification Through Fine-Grained Mobility Records for Smart City Applications (2020)User Community Identification…Towards a methodological framework for estimating present population density from mobile network operator data (2020)Towards a methodological fram…Analysis of accessibility to emergency rooms by dynamic population from mobile phone data: Geography of social inequity in South Korea (2020)Analysis of accessibility to …A method to estimate population densities and electricity consumption from mobile phone data in developing countries (2020)A method to estimate populati…MultiCell (2018)MultiCellStrategic visitor flows and destination management organization (2017)Strategic visitor flows and d…Understanding individual human mobility patterns (2008)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)The relevance of mixed methods for network analysis in tourism and hospitality research (2020)Effects of visit behavior on online store sales performance: personal computer (PC) versus mobile channels (2021)Using mobile data to evaluate unobserved tourist overnight stays (2021)Discovering regions of different functions in a city using human mobility and POIs (2012)Dynamic population mapping using mobile phone data (2014)CellTrans (2019)CellPred (2020)MIFF (2020)Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region (2003)The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions (2005)Mapping the Accessibility of Medical Facilities of Wuhan during the COVID-19 Pandemic (2021)Identifying the Spatiotemporal Metro-to-Bus Transfer Deserts in Shanghai, China (2023)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Predicting poverty and wealth from mobile phone metadata (2015)Analysing the impact of electrification on rural attractiveness in Senegal with mobile phone data (2021)Fine-grained crowd distribution forecasting with multi-order spatial interactions using mobile phone data (2022)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Inferring dynamic origin-destination flows by transport mode using mobile phone data (2019)Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis (2020)A Bayesian approach to location estimation of mobile devices from mobile network operator data (2021)Bayesian location estimation of mobile devices using a signal strength model (2022)Limits of Predictability in Human Mobility (2010)Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)A survey of results on mobile phone datasets analysis (2015)Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan (2022)A data‐driven method for identifying the locations of hurricane evacuations from mobile phone location data (2023)Mobile phone data for anticipating displacements: practices, opportunities, and challenges (2025)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Identifying counter-urbanisation using Facebook's user count data (2024)The proposal of a 15-minute city composite index through integrating GPS trajectory data-inferred urban function attraction based on the Bayesian framework (2024)Urban sprawl and travel to work: the case of the metropolitan area of Madrid (2009)Cross-Checking Different Sources of Mobility Information (2014)Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport (2020)Trusted smart statistics: Motivations and principles (2019)Trusted Smart Statistics: How new data will change official statistics (2020)A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions (2023)New avenues for second home tourism research using big data: prospects and challenges (2022)Estonian population and regional development during the last 30 years—back to the small town? (2023)When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates (2024)
this work references cited by second hop

References

No references inside the corpus for this window.

Cited by

  • 2020Towards a methodological framework for estimating present population density from mobile network operator data34 cited
  • 2017Strategic visitor flows and destination management organization32 cited
  • 2018MultiCell31 cited
  • 2020Analysis of accessibility to emergency rooms by dynamic population from mobile phone data: Geography of social inequity in South Korea31 cited
  • 2021Challenges and opportunities in accessing mobile phone data for COVID-19 response in developing countries26 cited
  • 2020A method to estimate population densities and electricity consumption from mobile phone data in developing countries20 cited
  • 2021Spatial interpolation of mobile positioning data for population statistics19 cited
  • 2022Exploring methods for mapping seasonal population changes using mobile phone data14 cited
  • 2021On the Estimation of Spatial Density From Mobile Network Operator Data12 cited
  • 2025Assessing mobile phone data as proxy census commuting data for transport geography research: a critical review and case study8 cited
  • 2020User Community Identification Through Fine-Grained Mobility Records for Smart City Applications7 cited

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