SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Using Mobile Phone Data for Electricity Infrastructure Planning
5 references·3 citing·29 second hop
Using Mobile Phone Data for Electricity Infrastructure Planning (2015)Using Mobile Phone Data for Electricity I…World Development indicators (2015)World Development indicatorsDynamic population mapping using mobile phone data (2014)Dynamic population mapping us…D4D-Senegal: The Second Mobile Phone Data for Development Challenge (2014)D4D-Senegal: The Second Mobil…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Understanding individual human mobility patterns (2008)Understanding individual huma…Analysing the impact of electrification on rural attractiveness in Senegal with mobile phone data (2021)Analysing the impact of elect…How average is average? Temporal patterns in human behaviour as measured by mobile phone data -- or why chose Thursdays (2020)How average is average? Tempo…Mobile phone data's potential for informing infrastructure planning in developing countries (2019)Mobile phone data's potential…Data for Development: the D4D Challenge on Mobile Phone Data (2012)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)The universal visitation law of human mobility (2021)The origin of bursts and heavy tails in human dynamics (2005)Modeling bursts and heavy tails in human dynamics (2006)The scaling laws of human travel (2006)Friendship and mobility (2011)Computational Social Science (2009)Limits of Predictability in Human Mobility (2010)Human development report 2015: work for human development (2015)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)Geo-located Twitter as proxy for global mobility patterns (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Human mobility: Models and applications (2018)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Predicting poverty and wealth from mobile phone metadata (2015)Predictability of population displacement after the 2010 Haiti earthquake (2012)A survey of results on mobile phone datasets analysis (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Escape from violence: conflict and the refugee crisis in the developing world (1990)Assessing aid - what works, what doesn't, and why (1998)International Financial Statistics (2003)The Miracle of Microfinance? Evidence from a Randomized Evaluation (2015)Too much finance? (2015)Economic Freedom of the World: 2022 Annual Report (2022)Power and Centrality: A Family of Measures (1987)The Modifiable Areal Unit Problem in Multivariate Statistical Analysis (1991)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)
this work references cited by second hop

References

  • 2015World Development indicators6,790 cited
  • 2008Understanding individual human mobility patterns6,185 cited
  • 2014Dynamic population mapping using mobile phone data929 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example659 cited
  • 2014D4D-Senegal: The Second Mobile Phone Data for Development Challenge121 cited

Cited by

  • 2021Analysing the impact of electrification on rural attractiveness in Senegal with mobile phone data17 cited
  • 2019Mobile phone data's potential for informing infrastructure planning in developing countries3 cited
  • 2020How average is average? Temporal patterns in human behaviour as measured by mobile phone data -- or why chose Thursdays3 cited

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