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Leveraging principal component analysis to uncover urban pedestrian dynamics
16 references·0 citing·45 second hop
Leveraging principal component analysis to uncover urban pedestrian dynamics (2025)Leveraging principal component analysis t…Examining the association between the built environment and pedestrian volume using street view images (2022)Examining the association bet…Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover (2021)Using Wi-Fi probe requests fr…Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility (2019)Quantifying the ambient popul…Estimating real-time high-street footfall from Wi-Fi probe requests (2019)Estimating real-time high-str…Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime (2019)Data-driven approach to chara…Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records (2018)Mapping hourly dynamics of ur…Urban phenology: Toward a real-time census of the city using Wi-Fi data (2017)Urban phenology: Toward a rea…Modeling the Hourly Distribution of Population at a High Spatiotemporal Resolution Using Subway Smart Card Data: A Case Study in the Central Area of Beijing (2017)Modeling the Hourly Distribut…Exploring the impact of ambient population measures on London crime hotspots (2016)Exploring the impact of ambie…Spatio-temporal crime hotspots and the ambient population (2015)Spatio-temporal crime hotspot…Quantifying crowd size with mobile phone and Twitter data (2015)Quantifying crowd size with m…The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns (2014)The impact of using social me…Once Upon a Crime (2014)Once Upon a CrimeMining Mobile Phone Data to Investigate Urban Crime Theories at Scale (2014)Mining Mobile Phone Data to I…National travel survey (1978)National travel surveyThe Death and Life of Great American Cities (1962)The Death and Life of Great A…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)CRITICAL QUESTIONS FOR BIG DATA (2012)The Death and Life of Great American Cities (2015)Crime Rate Inference with Big Data (2016)The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good (2017)Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques (2021)Understanding individual human mobility patterns (2008)Computational Social Science (2009)Limits of Predictability in Human Mobility (2010)The dynamics of information-driven coordination phenomena: A transfer entropy analysis (2016)Early detection of promoted campaigns on social media (2017)Using social media to quantify spatial and temporal dynamics of nature-based recreational activities (2018)The Analysis of Spatial Association by Use of Distance Statistics (1992)Local Indicators of Spatial Association—LISA (1995)Motivational, emotional, and behavioral correlates of fear of missing out (2013)Crime Sensing with Big Data: The Affordances and Limitations of using Open Source Communications to Estimate Crime Patterns (2016)Interpretable machine learning models for crime prediction (2022)Crime, Shame and Reintegration (1989)Twitter mood predicts the stock market (2011)Statistical physics of crime: A review (2014)Measuring objective and subjective well-being: dimensions and data sources (2020)Criminality of place (1995)The Coming Crisis of Empirical Sociology (2007)Big data: a revolution that will transform how we live, work, and think (2013)Not all those who Wander are lost: exploring human mobility using a smartphone application (2018)Measuring the Built Environment with Google Street View and Machine Learning: Consequences for Crime on Street Segments (2021)Understanding pedestrian dynamics using machine learning with real-time urban sensors (2025)Social Change and Crime Rate Trends: A Routine Activity Approach (1979)Social Change and Crime Rate Trends: A Routine Activity Approach (1979) (2010)Predicting Pedestrian Counts using Machine Learning (2023)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity (2017)Quantifying place: Analyzing the drivers of pedestrian activity in dense urban environments (2018)Uncovering temporal changes in Europe’s population density patterns using a data fusion approach (2020)The social life of small urban spaces (1980)Travel and the Built Environment (2010)How Are Macro-Scale and Micro-Scale Built Environments Associated with Running Activity? The Application of Strava Data and Deep Learning in Inner London (2022)Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery (2023)Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality (2024)Seeing Disorder: Neighborhood Stigma and the Social Construction of “Broken Windows” (2004)Finding Common Ground: The Importance of Place Attachment to Community Participation and Planning (2006)The social dimension of sustainable development: Defining urban social sustainability (2009)An Investigation into the Psychographics of Senior Nature-Based Travellers (1999)Vacations and the Quality of Life (1999)Urban Spatial Change and Excess Commuting (2007)
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References

  • 1962The Death and Life of Great American Cities9,083 cited
  • 1978National travel survey257 cited
  • 2014Once Upon a Crime251 cited
  • 2014The impact of using social media data in crime rate calculations: shifting hot spots and changing spatial patterns182 cited
  • 2022Examining the association between the built environment and pedestrian volume using street view images172 cited
  • 2016Exploring the impact of ambient population measures on London crime hotspots144 cited
  • 2015Spatio-temporal crime hotspots and the ambient population136 cited
  • 2015Quantifying crowd size with mobile phone and Twitter data129 cited
  • 2017Urban phenology: Toward a real-time census of the city using Wi-Fi data84 cited
  • 2014Mining Mobile Phone Data to Investigate Urban Crime Theories at Scale72 cited
  • 2018Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records72 cited
  • 2019Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime64 cited
  • 2017Modeling the Hourly Distribution of Population at a High Spatiotemporal Resolution Using Subway Smart Card Data: A Case Study in the Central Area of Beijing52 cited
  • 2019Estimating real-time high-street footfall from Wi-Fi probe requests40 cited

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  • 2021Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover36 cited
  • 2019Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility32 cited
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