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Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources
16 references·5 citing·48 second hop
Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources (2021)Estimates of the Ambient Population: Asse…Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility (2019)Quantifying the ambient popul…Quantifying human mobility resilience to extreme events using geo-located social media data (2019)Quantifying human mobility re…Estimating real-time high-street footfall from Wi-Fi probe requests (2019)Estimating real-time high-str…Using social media to identify tourism attractiveness in six Italian cities (2018)Using social media to identif…Urban phenology: Toward a real-time census of the city using Wi-Fi data (2017)Urban phenology: Toward a rea…A Study of MAC Address Randomization in Mobile Devices and When it Fails (2017)A Study of MAC Address Random…Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data (2015)Twitter as an indicator for w…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Modeling the spatial distribution of urban population during the daytime and at night based on land use: A case study in Beijing, China (2015)Modeling the spatial distribu…A Tale of Cities: Urban Biases in Volunteered Geographic Information (2014)A Tale of Cities: Urban Biase…Supporting large-scale travel surveys with smartphones – A practical approach (2013)Supporting large-scale travel…Harvesting ambient geospatial information from social media feeds (2011)Harvesting ambient geospatial…Citizens as sensors: the world of volunteered geography (2007)Citizens as sensors: the worl…Cellular Census: Explorations in Urban Data Collection (2007)Cellular Census: Explorations…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…Urban Crime Patterns (1965)Urban Crime PatternsUnderstanding pedestrian dynamics using machine learning with real-time urban sensors (2025)Understanding pedestrian dyna…Multi-scale dynamic population estimation: an Adaptive Inverse Distance Weighting (AIDW) model incorporating spatial characteristics (2025)Multi-scale dynamic populatio…Leveraging principal component analysis to uncover urban pedestrian dynamics (2025)Leveraging principal componen…Predicting Pedestrian Counts using Machine Learning (2023)Predicting Pedestrian Counts …Intersectional approach of everyday geography (2021)Intersectional approach of ev…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)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms (2016)The social power of algorithms (2016)Thinking critically about and researching algorithms (2016)Power-law distributions in empirical data (2018)Space and Place: The Perspective of Experience. 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A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation (2012)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Spatial Autocorrelation: Trouble or New Paradigm? (1993)Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy (2016)Social media and political communication in the 2014 elections to the European Parliament (2016)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Marketing the competitive destination of the future (2000)Aspects of a Psychology of the Tourist Experience (2007)Machine learning on big data: Opportunities and challenges (2017)Social media influence on tourists’ destination choice: importance of context (2019)A systematic literature review on the use of big data for sustainable tourism (2021)Research on user-generated photos in tourism and hospitality: A systematic review and way forward (2023)Tracking unmodified smartphones using wi-fi monitors (2012)Smart Behavioral Analytics over a Low‐Cost IoT Wi‐Fi Tracking Real Deployment (2018)BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes (2019)PassengerFlows: A Correlation-Based Passenger Estimator in Automated Public Transport (2020)Poverty, Inequality, and City Homicide Rates (1984)MAPPING CRIME: PRINCIPLE AND PRACTICE (1999)Crime Measures and the Spatial Analysis of Criminal Activity (2005)
this work references cited by second hop

References

  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2011Harvesting ambient geospatial information from social media feeds566 cited
  • 2007Cellular Census: Explorations in Urban Data Collection406 cited
  • 1965Urban Crime Patterns293 cited
  • 2017A Study of MAC Address Randomization in Mobile Devices and When it Fails230 cited
  • 2014A Tale of Cities: Urban Biases in Volunteered Geographic Information215 cited
  • 2018Using social media to identify tourism attractiveness in six Italian cities204 cited
  • 2015Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data159 cited
  • 2013Supporting large-scale travel surveys with smartphones – A practical approach154 cited
  • 2019Quantifying human mobility resilience to extreme events using geo-located social media data100 cited
  • 2017Urban phenology: Toward a real-time census of the city using Wi-Fi data84 cited
  • 2015Modeling the spatial distribution of urban population during the daytime and at night based on land use: A case study in Beijing, China44 cited

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2019
Estimating real-time high-street footfall from Wi-Fi probe requests
40 cited
  • 2019Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility32 cited
  • Cited by

    • 2021Intersectional approach of everyday geography7 cited
    • 2023Predicting Pedestrian Counts using Machine Learning6 cited
    • 2025Leveraging principal component analysis to uncover urban pedestrian dynamics3 cited
    • 2025Understanding pedestrian dynamics using machine learning with real-time urban sensors3 cited
    • 2025Multi-scale dynamic population estimation: an Adaptive Inverse Distance Weighting (AIDW) model incorporating spatial characteristics3 cited