DOI QR코드

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Development of Urban Information Platform for Cross-Domain Urban Design

  • Sota SEKI (Systems Engineering and Science Course, Graduate School of Engineering and Science, Shibaura Institute of Technology) ;
  • Kaede FUJITA (Functional Control Systems Course, Graduate School of Engineering and Science, Shibaura Institute of Technology) ;
  • Manabu ICHIKAWA (Department of Planning, Architecture and Environmental Systems, College of Systems Engineering and Science, Shibaura Institute of Technology)
  • 발행 : 2024.07.29

초록

This research developed an urban information platform to enable holistic urban design across multiple disciplines and regions, addressing Japan's urban challenges. By aggregating a wide range of urban data into a geographic database, the study emphasizes data-driven decision-making in urban planning. The platform supports the visualization and analysis of critical domains like medical and water supply, enhancing decision-making processes. Key contributions include the creation of evaluation indicators and the demonstration of the platform's application in urban design discussions.

키워드

참고문헌

  1. Ministry of Internal Affairs and Communications : Part 1, Chapter 1: The Era of Declining Population and Its Challenges, White Paper on Information and Communications, p. 2 ,(2018)
  2. PRISMA statement, http://www.prisma-statement.org/?AspxAutoDetectCookieSupport=1
  3. Scopus, https://www.scopus.com/home.uri
  4. Web of Science, https://clarivate.com/ja/solutions/web-of-science/
  5. Dammag, A.Q., Dai, J., Cao, S., Alabsi, A.A., Derhem, B.Q., Latif, H.Z. "Sustainable Planning Strategies for Rural Land Use Using a Hybridized Technique and GIS: Application to An Nijd Village in Ibb City, Yemen", Journal of Urban Planning and Development, Volume 149, Issue 1, 1 March 2023, Article number 05022052
  6. Sebestyen, V., Trajer, A.J., Domokos, E., Torma, A., Abonyi, J.," Objective well-being level (OWL) composite indicator for sustainable and resilient cities, Ecological Indicators, Volume 158, January 2024, Article number 111460,
  7. Sisman, S., Ergul, I., Aydinoglu, A.C.," DESIGNING GIS-BASED SITE SELECTION MODEL for URBAN INVESTMENT PLANNING in SMART CITIES with the CASE of ELECTRIC VEHICLE CHARGING STATIONS, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Volume 46, Issue 4/W5-2021, 23 December 2021, Pages 515-522"
  8. Python , https://www.python.org/
  9. Esri Japan , https://www.esrij.com/
  10. ArcGIS Experience Builder, https://www.esrij.com/products/arcgis-experience-builder/
  11. ArcGIS Hub, https://www.esrij.com/products/arcgis-hub/
  12. 2020 Census, https://www.stat.go.jp
  13. Geospatial Information Center Web site: https://front.geospatial.jp/
  14. household consumption survey, https://www.stat.go.jp
  15. Numerical National Land Information, https://nlftp.mlit.go.jp/ksj/
  16. The Ministry of Health, Labour and Welfare, https://kouseikyoku.mhlw.go.jp/