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Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries
6 references·6 citing·42 second hop
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries (2018)Exploring the Urban Region-of-Interest th…Point-of-Interest Demand Modeling with Human Mobility Patterns (2017)Point-of-Interest Demand Mode…Real Estate Ranking via Mixed Land-use Latent Models (2015)Real Estate Ranking via Mixed…Extracting and understanding urban areas of interest using geotagged photos (2015)Extracting and understanding …Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Discovering Urban Functional …Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Predestination: Where Do You Want to Go Today? (2007)Predestination: Where Do You …Urban-scale POI Updating with Crowd Intelligence (2023)Urban-scale POI Updating with…DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management (2021)DGeye: Probabilistic Risk Per…RePiDeM: A Refined POI Demand Modeling based on Multi-Source Data (2020)RePiDeM: A Refined POI Demand…AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data (2020)AttractRank: District Attract…Designating City-Wide Collaborative Geofence Sites for Renting and Returning Dock-Less Shared Bikes (2019)Designating City-Wide Collabo…Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions (2019)Data4UrbanMobility: Towards H…Citizens as sensors: the world of volunteered geography (2007)The wisdom hierarchy: representations of the DIKW hierarchy (2007)OpenStreetMap: User-Generated Street Maps (2008)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Social Media data: Challenges, opportunities and limitations in urban studies (2018)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Map projections: A working manual (1987)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Regularity and Conformity (2015)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)A Regression Method for Real Estate Price Index Construction (1963)The Behavior of Home Buyers in Boom and Post-Boom Markets (1988)Modeling Temporal-Spatial Correlations for Crime Prediction (2017)Spotting Trip Purposes from Taxi Trajectories (2017)Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs (2018)A Pure Theory of Local Expenditures (1956)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Next Check-in Location Prediction via Footprints and Friendship on Location-Based Social Networks (2018)Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation (2019)Modeling Spatial Trajectories With Attribute Representation Learning (2020)An Optimisation Algorithm to Establish the Location of Stations of a Mixed Fleet Biking System: An Application to the City of Lisbon (2012)Station Site Optimization in Bike Sharing Systems (2015)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)The governance of dockless bike-sharing schemes: A systemic review of peer-reviewed academic journal papers between 2016 and 2019 (2021)Exploring informants’ perspectives on the role of crowdsourced active travel data (2022)Interpretable Machine Learning for Intelligent Transportation in Bike-Sharing (2023)Land-Use Classification Using Taxi GPS Traces (2012)AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data (2013)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Accessibility Score – Data analytics for the holistic assessment of urban mobility networks and the case of Braunschweig (2024)Transportation corridors and land use interaction: a multi-disciplinary critical review (2025)Urban activity pattern classification using topic models from online geo-location data (2014)VecCity : A Taxonomy-Guided Library for Map Entity Representation Learning (2025)Walkway Discovery from Large Scale Crowdsensing (2018)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Identity, profiling algorithms and a world of ambient intelligence (2010)A refined limit on the predictability of human mobility (2014)Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data (2020)
this work references cited by second hop

References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 2015Extracting and understanding urban areas of interest using geotagged photos310 cited
  • 2007Predestination: Where Do You Want to Go Today?85 cited
  • 2017Point-of-Interest Demand Modeling with Human Mobility Patterns78 cited
  • 2015Real Estate Ranking via Mixed Land-use Latent Models57 cited

Cited by

  • 2019Designating City-Wide Collaborative Geofence Sites for Renting and Returning Dock-Less Shared Bikes21 cited
  • 2019Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions18 cited
  • 2021DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management15 cited
  • 2023Urban-scale POI Updating with Crowd Intelligence11 cited
  • 2020AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data8 cited
  • 2020RePiDeM: A Refined POI Demand Modeling based on Multi-Source Data8 cited

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