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Block-level Trip Generation/Attraction and Travel Characteristics Using GPS Data and Building Usage Composition in Tokyo Wards
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Block-level Trip Generation/Attraction and Travel Characteristics Using GPS Data and Building Usage Composition in Tokyo Wards (2024)Block-level Trip Generation/Attraction an…Pedestrian movement with large-scale GPS records and transit-oriented development attributes (2024)Pedestrian movement with larg…scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)scikit-mobility : A Python Li…Development of a method for walking step observation based on large-scale GPS data (2022)Development of a method for w…Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area (2021)Impact of COVID-19 Pandemic o…Universal scaling laws of collective human flow patterns in urban regions (2020)Universal scaling laws of col…A BASIC ANALYSIS ON CHARACTERISTICS OF TRIP-GENERATION FROM LARGE-SCALE BUILDINGS (1997)A BASIC ANALYSIS ON CHARACTER…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Measuring objective and subjective well-being: dimensions and data sources (2020)Evaluation of home detection algorithms on mobile phone data using individual-level ground truth (2021)Generating mobility networks with generative adversarial networks (2022)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Universal scaling of human flow remain unchanged during the COVID-19 pandemic (2021)A vector field approach for identifying anomalous human mobility (2022)A generalized vector-field framework for mobility (2024)Neighborhood Environment Walkability Scale (2006)Human mobility trends during the early stage of the COVID-19 pandemic in the United States (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Living and working in the (post-pandemic) city: a research agenda (2023)Why Did Urban Exodus Occur during the COVID-19 Pandemic from the Perspective of Residential Preference of Each Type of Household? Case of Japanese Metropolitan Areas (2023)Self-containment in Old New Town: Evidence from Senboku New Town using GPS tracking data (2025)Built Environment Correlates of Walking (2008)The development of a walkability index: application to the Neighborhood Quality of Life Study (2009)Understanding spatiotemporal patterns of walking behavior of older people via mobile phone big data (2025)Travel demand and the 3Ds: Density, diversity, and design (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Travel and the Built Environment (2010)Changes in visitor behaviour across COVID-19 pandemic: Unveiling urban visitation dynamics and non-linear relationships with the built environment using mobile big data (2024)Managing transit-oriented development: A comparative analysis of expert groups and multi-criteria decision making methods (2024)Evaluation of transit-oriented development based on 9D’s approach in developing countries context (2025)
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References

  • 2022scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data102 cited
  • 2024Pedestrian movement with large-scale GPS records and transit-oriented development attributes31 cited
  • 2020Universal scaling laws of collective human flow patterns in urban regions17 cited
  • 2021Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area15 cited
  • 2022Development of a method for walking step observation based on large-scale GPS data7 cited
  • 1997A BASIC ANALYSIS ON CHARACTERISTICS OF TRIP-GENERATION FROM LARGE-SCALE BUILDINGS3 cited

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