Scenario Analysis of the Future Urban Land Use in the Tokyo Metropolitan Area

  • YAMAGATA Yoshiki
    National Institute for Environmental Studies Center for Global Environmental Research
  • SEYA Hajime
    National Institute for Environmental Studies Center for Global Environmental Research
  • NAKAMICHI Kumiko
    National Institute for Environmental Studies Center for Global Environmental Research

Bibliographic Information

Other Title
  • 土地利用モデルを用いた東京都市圏の土地利用シナリオ分析

Abstract

The Tokyo Metropolitan Area is the largest urban area in the world. It is important to project the future distribution of population and land use in the area not only in terms of the urban planning, but also in terms of the mitigation and adaptation to climate change. This research studies spatially explicit high-resolution land use change scenarios in the metropolitan area with a newly developed land use model. In this study the microdistrict (cho-cho-moku) is used as the spatial analysis unit which allows realistic scenarios with fine spatial resolution to be constructed, whereas a traditional land use model is usually constructed at the municipality level. This study demonstrates two extreme scenarios—urban concentration (compact city) and dispersion for showing the maximum range of the future land use distribution. The projected land use distribution can be applied as the boundary condition for urban climate models, and also has a potential to provide useful information to urban practitioners. The developed scenarios provide the scenario dependent projections of parameters such as anthropogenic heat emission, vegetation cover, etc.

Journal

  • ENVIRONMENTAL SCIENCE

    ENVIRONMENTAL SCIENCE 24 (3), 169-179, 2011

    SOCIETY OF ENVIRONMENTAL SCIENCE, JAPAN

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Details 詳細情報について

  • CRID
    1390001204419681024
  • NII Article ID
    130004554154
  • DOI
    10.11353/sesj.24.169
  • ISSN
    18845029
    09150048
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • Crossref
  • Abstract License Flag
    Disallowed

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