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Traffic zone division based on big data from mobile phone base stations
9 references·16 citing·40 second hop
Traffic zone division based on big data from mobile phone base stations (2015)Traffic zone division based on big data f…Estimating human trajectories and hotspots through mobile phone data (2014)Estimating human trajectories…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…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…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…Towards a 15-minute city: A network-based evaluation framework (2022)Towards a 15-minute city: A n…How to improve urban transportation planning in big data era? A practice in the study of traffic analysis zone delineation (2022)How to improve urban transpor…Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach (2020)Understanding the travel beha…Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data (2019)Identifying the Structure of …Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications (2019)Big Data and Business Analyti…Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management (2019)Applying Big Data Analytics t…Recent Advances and Challenges in Mobile Big Data (2018)Recent Advances and Challenge…Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia (2018)Accessibility based on Gravit…Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China (2017)Taxi trips distribution model…Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns (2017)Spatiotemporal model for asse…Spatial context mining approach for transport mode recognition from mobile sensed big data (2017)Spatial context mining approa…Mobile Big Data: The Fuel for Data-Driven Wireless (2017)Mobile Big Data: The Fuel for…Application of Google-based Data for Travel Time Analysis: Kaunas City Case Study (2017)Application of Google-based D…A spatial econometric model for travel flow analysis and real-world applications with massive mobile phone data (2017)A spatial econometric model f…Forecasting supply chain resilience performance using grey prediction (2016)Forecasting supply chain resi…Forecasting short-term air passenger demand using big data from search engine queries (2016)Forecasting short-term air pa…Using GPS to learn significant locations and predict movement across multiple users (2003)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)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)What about people in Regional Science? (1970)Data from mobile phone operators: A tool for smarter cities? (2014)Urban magnetism through the lens of geo-tagged photography (2015)A hybrid Markov-based model for human mobility prediction (2017)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)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)Me++ (2003)Me++: The Cyborg Self and the Networked City (2003)Dynamic population mapping using mobile phone data (2014)A survey of results on mobile phone datasets analysis (2015)Human mobility: Models and applications (2018)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The universal visitation law of human mobility (2021)Big data: The next frontier for innovation, competition, and productivity (2011)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness (2021)Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions (2022)Business Intelligence and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework (2022)Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: a review of applications and opportunities (2011)Transport modelling in the age of big data (2017)Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis (2018)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2007Deriving origin–destination data from a mobile phone network270 cited
  • 2014Estimating human trajectories and hotspots through mobile phone data212 cited

Cited by

  • 2019Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications200 cited
  • 2016Forecasting supply chain resilience performance using grey prediction125 cited
  • 2018Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia97 cited
  • 2017A spatial econometric model for travel flow analysis and real-world applications with massive mobile phone data93 cited
  • 2016Forecasting short-term air passenger demand using big data from search engine queries

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88 cited
  • 2017Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China87 cited
  • 2017Mobile Big Data: The Fuel for Data-Driven Wireless87 cited
  • 2022Towards a 15-minute city: A network-based evaluation framework82 cited
  • 2020Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach78 cited
  • 2017Spatial context mining approach for transport mode recognition from mobile sensed big data61 cited
  • 2018Recent Advances and Challenges in Mobile Big Data61 cited
  • 2019Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management50 cited
  • 2017Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns49 cited
  • 2019Identifying the Structure of Cities by Clustering Using a New Similarity Measure Based on Smart Card Data46 cited
  • 2022How to improve urban transportation planning in big data era? A practice in the study of traffic analysis zone delineation39 cited
  • 2017Application of Google-based Data for Travel Time Analysis: Kaunas City Case Study35 cited