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Analysis of Commercial Areas in terms of Restaurants Agglomeration and Business Hours:

DOI Open Access
  • SUGIMOTO Koun
    Faculty of Urban Environmental Sciences, Tokyo Metropolitan University
  • OTA Kei
    Faculty of Regional Policy, Takasaki City University of Economics
  • IIZUKA Ryo
    Faculty of Economics, Teikyo University
  • SAKAMOTO Yuki
    Faculty of Life and Environmental Sciences, University of Tsukuba
  • IKEDA Mariko
    Faculty of Art and Design, University of Tsukuba

Bibliographic Information

Other Title
  • 飲食店の集積と営業時間からみた商業地特性の分析
  • Comparison among Nightlife in Shinjuku, Ginza, and Shibuya
  • 夜間の新宿・銀座・渋谷の比較

Abstract

Urban strategies and tourism policies directed towards the 2020 Tokyo Olympics regard restaurants agglomerated in commercial areas of cities as tourism and nightlife resources that attract much attention. This study clarifies the characteristics of three famous commercial areas in Tokyo (Shinjuku, Ginza, and Shibuya) in terms of the agglomeration of restaurants and their business hours. Using voluminous restaurant POI data, the spatial distribution of restaurants’ opening hours during the day (at 13 : 00 as a representational time), night (at 19 : 00), and late-night (at 25 : 00) were analyzed. The results revealed many restaurants that open at night, day, and late-night. This is because many restaurants located in these areas are “izakaya (Japanese style bars),” “dining bars, bars, and beer halls,” and “yakitori, meat dishes and skewers” and open at night. Some restaurants that provide alcoholic beverages continue or commence their business during late-night hours, although almost all other types of restaurants do not. This is one of the characteristics of entertainment districts. As for the spatial distribution, restaurants that open during late-night hours are concentrated over a certain range rather than ones that open at night (especially in Shinjuku and Ginza).

Journal

  • Geographical Space

    Geographical Space 12 (3), 227-245, 2019

    Japan Association on Geographical Space

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Details

  • CRID
    1390002184885766272
  • NII Article ID
    130007817433
  • DOI
    10.24586/jags.12.3_227
  • ISSN
    24334715
    18829872
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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