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The Potential of Mobile Network Big Data as a Tool in Colombo’s Transportation and Urban Planning
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The Potential of Mobile Network Big Data as a Tool in Colombo’s Transportation and Urban Planning (2016)The Potential of Mobile Network Big Data …AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data (2013)AllAboard: A System for Explo…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)Transportation mode inference…Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data (2009)Daily rhythms of suburban com…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…ORIGIN-DESTINATION ESTIMATION USING CELLULAR PHONE BS INFORMATION (2005)ORIGIN-DESTINATION ESTIMATION…How can Big Data Improve the Quality of Tourism Statistics? The Bank of Italy’s Experience in Compiling the “Travel” Item in the Balance of Payments (2023)How can Big Data Improve the …A Review of Flow Migration Through Mobile Networks (2022)A Review of Flow Migration Th…Data-driven management of dynamic public transport (2018)Data-driven management of dyn…Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)Understanding mobility based on GPS data (2008)Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Estimating human trajectories and hotspots through mobile phone data (2014)Transport mode detection based on mobile phone network data: A systematic review (2019)Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set (2000)Observing the rhythms of daily life: A six-week travel diary (2002)Intra-urban human mobility patterns: An urban morphology perspective (2011)The use of tracking technologies in tourism research: the first decade (2016)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities (2011)Traffic zone division based on big data from mobile phone base stations (2015)Transport modelling in the age of big data (2017)A maximum likelihood model for estimating origin-destination matrices (1987)Estimation of origin–destination matrices from link flows on uncongested networks (2000)Getting to Know ArcGIS Desktop (2001)GPS Sensing Systems and Fuzzy Rules to Improve Urban Navigation Assistance and Planning (2013)Analysis of public transit trip chain of commuters based on mobile phone data and GPS data (2017)Identifying Temporal and Spatial Characteristics of Residents’ Trips from Cellular Signaling Data: Case Study of Beijing (2018)Reality mining: sensing complex social systems (2005)Is bigger better? The emergence of big data as a tool for international development policy (2014)Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal (2016)Mobile Big Data: The Fuel for Data-Driven Wireless (2017)Uncovering individual and collective human dynamics from mobile phone records (2008)A universal model for mobility and migration patterns (2012)Unravelling daily human mobility motifs (2013)Predicting the Present with Google Trends (2012)Dynamic population mapping using mobile phone data (2014)Big data in tourism research: A literature review (2018)
this work references cited by second hop

References

  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2009Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: Case study with mobile positioning data257 cited
  • 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records207 cited
  • 2013AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data123 cited
  • 2005ORIGIN-DESTINATION ESTIMATION USING CELLULAR PHONE BS INFORMATION13 cited

Cited by

  • 2018Data-driven management of dynamic public transport5 cited
  • 2023How can Big Data Improve the Quality of Tourism Statistics? The Bank of Italy’s Experience in Compiling the “Travel” Item in the Balance of Payments4 cited
  • 2022A Review of Flow Migration Through Mobile Networks2 cited

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