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Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data
9 references·5 citing·43 second hop
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data (2019)Neural Collective Graphical Models for Es…A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data (2018)A Fast and Accurate Method fo…Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models (2017)Estimating People Flow from S…PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data (2011)PFlow: Reconstructing People …Challenges and business models for mobile location-based services and advertising (2011)Challenges and business model…A dynamic logistics coordination model for evacuation and support in disaster response activities (2006)A dynamic logistics coordinat…A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network (2002)A decision support system for…Selling the city: marketing approaches in public sector urban planning (1991)Selling the city: marketing a…Selling the City: Marketing Approaches in Public Sector Urban Planning (1990)Selling the City: Marketing A…Optimum Utilization of the Transportation System (1949)Optimum Utilization of the Tr…Changes in spatiotemporal pattern and network characteristics in population migration of China’s cities before and after COVID-19 (2023)Changes in spatiotemporal pat…Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations (2020)Time-delayed collective flow …Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm (2020)Exact and Efficient Inference…Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information (2020)Deep Gravity: enhancing mobil…Deep learning models for population flow generation from aggregated mobility data (2019)Deep learning models for popu…The Location of Emergency Service Facilities (1971)THE MAXIMAL COVERING LOCATION PROBLEM (1974)Strategic facility location: A review (1998)Stochastic optimization of medical supply location and distribution in disaster management (2009)On the appropriate objective function for post‐disaster humanitarian logistics models (2013)Review of recent developments in OR/MS research in disaster operations management (2013)Fuzzy sets (1965)The Analytic Hierarchy Process (1985)Fuzzy sets (1996)A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives (2006)A fuzzy multi-criteria decision model for international tourist hotels location selection (2007)Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem (2011)COUNTERSPECULATION, AUCTIONS, AND COMPETITIVE SEALED TENDERS (1961)Developing GIS-supported location-based services (2002)Evolution of mobile location-based services (2003)Addressing the Personalization–Privacy Paradox: An Empirical Assessment from a Field Experiment on Smartphone Users1 (2013)Customer knowledge management via social media: the case of Starbucks (2013)SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)Travel route recommendation using geotags in photo sharing sites (2010)Urban computing with taxicabs (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)Estimating Latent People Flow without Tracking Individuals (2018)Geographic information systems as a marketing information system technology (2003)MM algorithms for generalized Bradley-Terry models (2004)Next Place Prediction (2018)A hybrid model for high spatial and temporal resolution population distribution prediction (2022)Principles of social science (1888)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)CityMomentum (2015)Inferring Origin-Destination Flows from Population Distribution (2021)Simulating inter-city population flows based on graph neural networks (2024)A universal geography neural network for mobility flow prediction in planning scenarios (2025)Forecasting urban dynamics with mobility logs by bilinear Poisson regression (2015)Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas (2017)YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories (2024)City branding: An effective assertion of identity or a transitory marketing trick? (2006)Place marketing: how did we get here and where are we going? (2008)Branding the destination versus the place: The effects of brand complexity and identification for residents and visitors (2016)A Survey of the Theory of International Trade: Part 2, The Neo-Classical Theory (1965)Push-Pull Migration Laws (1983)Geography, Transportation, and Endogenous Trade Costs (2020)Convention destination images: analysis of association meeting planners' perceptions (1996)Cities and their brands: Lessons from corporate branding (2009)
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References

  • 2006A dynamic logistics coordination model for evacuation and support in disaster response activities735 cited
  • 1990Selling the City: Marketing Approaches in Public Sector Urban Planning447 cited
  • 1949Optimum Utilization of the Transportation System399 cited
  • 1991Selling the city: marketing approaches in public sector urban planning359 cited
  • 2002A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network356 cited
  • 2011Challenges and business models for mobile location-based services and advertising331 cited
  • 2011PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data92 cited
  • 2018A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data33 cited
  • 2017Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models21 cited

Cited by

  • 2019Deep learning models for population flow generation from aggregated mobility data21 cited
  • 2023Changes in spatiotemporal pattern and network characteristics in population migration of China’s cities before and after COVID-1918 cited
  • 2020Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations6 cited
  • 2020Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm

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4 cited
  • 2020Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information4 cited