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A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions
16 references·2 citing·45 second hopsampled
A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions (2023)A Systematic Review of Mobile Phone Data …Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland (2021)Escaping from Cities during t…Urban sensing based on mobile phone data: approaches, applications, and challenges (2020)Urban sensing based on mobile…Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data (2020)Spatial structures of tourism…Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns (2019)Social sensing from street-le…On the privacy-conscientious use of mobile phone data (2018)On the privacy-conscientious …Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects (2018)Investments in big data analy…Scaling identity connects human mobility and social interactions (2016)Scaling identity connects hum…Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics (2015)Moves on the Street: Classify…A survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Urban Sensing Using Mobile Ph…Once Upon a Crime (2014)Once Upon a CrimeFrom mobile phone data to the spatial structure of cities (2014)From mobile phone data to the…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The PRISMA statement for repo…Mobile Phone Network Data in the COVID-19 era: A systematic review of applications, socioeconomic factors affecting compliance to non-pharmaceutical interventions, privacy implications, and post-pandemic economic recovery strategies (2025)Mobile Phone Network Data in …Improving next location prediction with inferred activity semantics in mobile phone data (2025)Improving next location predi…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)The scaling laws of human travel (2006)Uncovering the spatial structure of mobility networks (2015)African Mining, Gender, and Local Employment (2016)Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China (2018)Computational Social Science (2009)Human development report 2015: work for human development (2015)Predicting poverty and wealth from mobile phone metadata (2015)Crime, Shame and Reintegration (1989)Twitter mood predicts the stock market (2011)Statistical physics of crime: A review (2014)Crime Rate Inference with Big Data (2016)Measuring objective and subjective well-being: dimensions and data sources (2020)Urban Spatial Structure (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)The universal visitation law of human mobility (2021)Big data: The next frontier for innovation, competition, and productivity (2011)Transport modelling in the age of big data (2017)Transport mode detection based on mobile phone network data: A systematic review (2019)The Strength of Weak Ties (1973)Power-Law Distributions in Empirical Data (2009)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Power-law distributions in empirical data (2018)Measuring inconsistency in meta-analyses (2003)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector (2021)The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view (2021)Smart hospitality: from smart cities and smart tourism towards agile business ecosystems in networked destinations (2022)Is It Really Just a Social Construction?: The Contribution of the Physical Environment to Sense of Place (2003)Discovering regions of different functions in a city using human mobility and POIs (2012)Uncovering inconspicuous places using social media check-ins and street view images (2020)Understanding house price appreciation using multi-source big geo-data and machine learning (2020)Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling (2021)
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References

  • 2009The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration10,571 cited
  • 2014Dynamic population mapping using mobile phone data908 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2014From mobile phone data to the spatial structure of cities458 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data399 cited
  • 2014Urban Sensing Using Mobile Phone Network Data: A Survey of Research334 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2014Once Upon a Crime251 cited
  • 2018Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects224 cited
  • 2019Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns186 cited
  • 2020Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data178 cited
  • 2018On the privacy-conscientious use of mobile phone data168 cited
  • 2015Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics115 cited
  • 2016Scaling identity connects human mobility and social interactions

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109 cited
  • 2020Urban sensing based on mobile phone data: approaches, applications, and challenges106 cited
  • 2021Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland105 cited
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    • 2025Mobile Phone Network Data in the COVID-19 era: A systematic review of applications, socioeconomic factors affecting compliance to non-pharmaceutical interventions, privacy implications, and post-pandemic economic recovery strategies5 cited
    • 2025Improving next location prediction with inferred activity semantics in mobile phone data4 cited