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STUDY ON THE POPULATION CHARACTERISTICS IN A CITY CENTER DISTRICT UTILIZING MOBILE SPATIAL STATISTICS
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STUDY ON THE POPULATION CHARACTERISTICS IN A CITY CENTER DISTRICT UTILIZING MOBILE SPATIAL STATISTICS (2015)STUDY ON THE POPULATION CHARACTERISTICS I…GROUPING AREAS BASED ON THE PATTERNS OF PEOPLE’S STAYS IN REGIONAL CITIES AND EXAMINING CHARACTERISTICS OF THEIR AREAS (2024)GROUPING AREAS BASED ON THE P…Access by Foot and Bike to Commercial Facilities on Urban Function Induction-Encouraged Areas in 15-Minute Cities (2024)Access by Foot and Bike to Co…A STUDY ON THE USAGE AREAS OF COMMERCIAL FACILITIES IN LOCAL MEDIUM SIZED CITIES (2024)A STUDY ON THE USAGE AREAS OF…Realizing a 15-minute city in Metropolitan Tokyo (2022)Realizing a 15-minute city in…PROPOSAL OF CTD LIVING AREAS NEAR A RESIDENTIAL AREA AND RELATIONS WITH URBAN FUNCTIONAL INDUCTION AREA -A NEW APPLICATION OF PERSON TRIP SURVEYS- (2022)PROPOSAL OF CTD LIVING AREAS …A Study on the Evaluation of Bustle Around Railway Stations Using Mobile Spatial Statistics (2022)A Study on the Evaluation of …Actual conditions of Urban Function Induction-encouraged Area based on trip concentration (2021)Actual conditions of Urban Fu…Estimating Spatiotemporal Distribution of Moving People in Urban Areas Using Population Statistics of Mobile Phone Users (2020)Estimating Spatiotemporal Dis…REGIONAL CLASSIFICATION OF POPULATION DYNAMICS CHARACTERISTICS BY MOBILE SPATIAL STATISTICS AND APPLICATION TO EARTHQUAKE COUNTERMEASURES (2019)REGIONAL CLASSIFICATION OF PO…ESTIMATING SPATIOTEMPORAL DISTRIBUTION OF MOVING PEOPLE BY INTEGRATING MULTIPLE POPULATION STATISTICS (2019)ESTIMATING SPATIOTEMPORAL DIS…Study of Indicator Relating to the Urban Facility Location Plan Using Mobile Spatial Statistics (2018)Study of Indicator Relating t…ESTIMATION OF THE NUMBER OF FLOATING POPULATION BASED ON THE LOCATION DATA COLLECTED FROM SMARTPHONES (2018)ESTIMATION OF THE NUMBER OF F…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Dynamic population mapping using mobile phone data (2014)Population shifts during the reconstruction period in areas marked as evacuation zones after the Fukushima Daiichi nuclear power plant accident: a mobile spatial statistics data-based time-series clustering analysis (2024)RESEARCH ON THE PRACTICAL USE FIELDS OF ^|^ldquo;MOBILE SPATIAL STATISTICS^|^rdquo; IN A MUNICIPALITY (2013)Facility location in core areas of cities with population decline (2019)Local Indicators of Spatial Association—LISA (1995)The 15-minute walkable neighborhoods: Measurement, social inequalities and implications for building healthy communities in urban China (2019)15-Minute City: Decomposing the New Urban Planning Eutopia (2021)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)A STUDY ON THE CHANGES IN DAYTIME STAYING POPULATION OF URBAN AREA DUE TO COVID-19 (2022)Quantifying and visualizing the 15-Minute walkable city concept across Europe: a multicriteria approach (2022)The x-minute city: Measuring the 10, 15, 20-minute city and an evaluation of its use for sustainable urban design (2022)Who is living a local lifestyle? Towards a better understanding of the 15-minute-city and 30-minute-city concepts from a behavioural perspective in Montréal, Canada (2023)
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Cited by

  • 2022Realizing a 15-minute city in Metropolitan Tokyo9 cited
  • 2019REGIONAL CLASSIFICATION OF POPULATION DYNAMICS CHARACTERISTICS BY MOBILE SPATIAL STATISTICS AND APPLICATION TO EARTHQUAKE COUNTERMEASURES6 cited
  • 2021Actual conditions of Urban Function Induction-encouraged Area based on trip concentration4 cited
  • 2018Study of Indicator Relating to the Urban Facility Location Plan Using Mobile Spatial Statistics4 cited
  • 2022A Study on the Evaluation of Bustle Around Railway Stations Using Mobile Spatial Statistics4 cited
  • 2024GROUPING AREAS BASED ON THE PATTERNS OF PEOPLE’S STAYS IN REGIONAL CITIES AND EXAMINING CHARACTERISTICS OF THEIR AREAS3 cited
  • 2019ESTIMATING SPATIOTEMPORAL DISTRIBUTION OF MOVING PEOPLE BY INTEGRATING MULTIPLE POPULATION STATISTICS3 cited
  • 2022PROPOSAL OF CTD LIVING AREAS NEAR A RESIDENTIAL AREA AND RELATIONS WITH URBAN FUNCTIONAL INDUCTION AREA -A NEW APPLICATION OF PERSON TRIP SURVEYS-3 cited
  • 2024A STUDY ON THE USAGE AREAS OF COMMERCIAL FACILITIES IN LOCAL MEDIUM SIZED CITIES2 cited
  • 2024Access by Foot and Bike to Commercial Facilities on Urban Function Induction-Encouraged Areas in 15-Minute Cities2 cited
  • 2018ESTIMATION OF THE NUMBER OF FLOATING POPULATION BASED ON THE LOCATION DATA COLLECTED FROM SMARTPHONES2 cited
  • 2020Estimating Spatiotemporal Distribution of Moving People in Urban Areas Using Population Statistics of Mobile Phone Users2 cited

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