SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Trade area analysis using user generated mobile location data
11 references·16 citing·32 second hop
Trade area analysis using user generated mobile location data (2013)Trade area analysis using user generated …The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)The Livehoods Project: Utiliz…Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)An Empirical Study of Geograp…Automatically characterizing places with opportunistic crowdsensing using smartphones (2012)Automatically characterizing …Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2009)Understanding individual huma…Understanding individual human mobility patterns (2008)Understanding individual huma…A Probabilistic Analysis of Shopping Center Trade Areas (1963)A Probabilistic Analysis of S…A probabilistic analysis of shopping center trade area (1963)A probabilistic analysis of s…Methods for the study of retail relationships (1929)Methods for the study of reta…Untapping the potential of mobile location data: The opportunities and challenges for retail analytics (2024)Untapping the potential of mo…Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study (2022)Scoping out urban areas of to…Urban Scale Trade Area Characterization for Commercial Districts with Cellular Footprints (2020)Urban Scale Trade Area Charac…Understanding Chinese tourist mobility and consumption-related behaviours in London using Sina Weibo check-ins (2020)Understanding Chinese tourist…Modeling Weather-Aware Prediction of User Activities and Future Visits (2020)Modeling Weather-Aware Predic…AR 2 Net (2020)AR 2 NetCellTradeMap: Delineating Trade Areas for Urban Commercial Districts with Cellular Networks (2019)CellTradeMap: Delineating Tra…Modeling location-based social network data with area attraction and neighborhood competition (2018)Modeling location-based socia…Smart Geo-fencing with Location Sensitive Product Affinity (2017)Smart Geo-fencing with Locati…Coupling Implicit and Explicit Knowledge for Customer Volume Prediction (2017)Coupling Implicit and Explici…Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model (2016)Evaluating Trade Areas Using …Demand driven store site selection via multiple spatial-temporal data (2016)Demand driven store site sele…Building the Multi-Modal Storytelling of Urban Emergency Events Based on Crowdsensing of Social Media Analytics (2016)Building the Multi-Modal Stor…A study on individual mobility patterns based on individuals’ familiarity to visited areas (2016)A study on individual mobilit…LiveCities (2014)LiveCitiesWhere is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks (2013)Where is the Largest Market: …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)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)Bowling alone: the collapse and revival of American community (2000)Bowling Alone: The Collapse and Revival of American Community (2001)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Inferring friendship network structure by using mobile phone data (2009)Exploring temporal effects for location recommendation on location-based social networks (2013)Measuring spatial accessibility to healthcare for populations with multiple transportation modes (2013)Social Media data: Challenges, opportunities and limitations in urban studies (2018)A Dynamic Model of Growth in a Central Place System (1979)Spatial interaction modelling (2003)Integrating the Huff Model and Floating Catchment Area Methods to Analyze Spatial Access to Healthcare Services (2014)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data (2016)Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning (2018)Geo-located Twitter as proxy for global mobility patterns (2014)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)From mobile phone data to the spatial structure of cities (2014)Perspectives on the city‐region (2005)Retail forecasting: Research and practice (2019)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 1963A Probabilistic Analysis of Shopping Center Trade Areas669 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2009Understanding individual human mobility patterns484 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 1963A probabilistic analysis of shopping center trade area387 cited
  • 2012Automatically characterizing places with opportunistic crowdsensing using smartphones272 cited
  • 1929Methods for the study of retail relationships271 cited

Cited by

  • 2016Evaluating Trade Areas Using Social Media Data with a Calibrated Huff Model52 cited
  • 2016Demand driven store site selection via multiple spatial-temporal data42 cited
  • 2016Building the Multi-Modal Storytelling of Urban Emergency Events Based on Crowdsensing of Social Media Analytics38 cited
  • 2022

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

Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study
25 cited
  • 2019CellTradeMap: Delineating Trade Areas for Urban Commercial Districts with Cellular Networks17 cited
  • 2020AR 2 Net15 cited
  • 2017Smart Geo-fencing with Location Sensitive Product Affinity15 cited
  • 2014LiveCities15 cited
  • 2013Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks14 cited
  • 2024Untapping the potential of mobile location data: The opportunities and challenges for retail analytics13 cited
  • 2020Understanding Chinese tourist mobility and consumption-related behaviours in London using Sina Weibo check-ins13 cited
  • 2018Modeling location-based social network data with area attraction and neighborhood competition13 cited
  • 2020Modeling Weather-Aware Prediction of User Activities and Future Visits12 cited
  • 2016A study on individual mobility patterns based on individuals’ familiarity to visited areas10 cited
  • 2017Coupling Implicit and Explicit Knowledge for Customer Volume Prediction9 cited
  • 2020Urban Scale Trade Area Characterization for Commercial Districts with Cellular Footprints9 cited