IDEAS home Printed from https://ideas.repec.org/a/sae/envirc/v24y2006i4p515-532.html
   My bibliography  Save this article

Evaluating Land-Use Restrictions concerning the Floor Area Ratio of Lots

Author

Listed:
  • Xiaolu Gao

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences)

  • Yasushi Asami

    (Center for Spatial Information Science, University of Tokyo)

  • Wataru Katsumata

    (Urban Planning Department, National Institute for Land and Infrastructure Management, Japan)

Abstract

In Japanese city planning, the effective floor area ratio (FAR) of land lots, or housing density, is delimited by zoning and restrictions on the form of buildings (shape controls). To evaluate this system comprehensively, the authors analyze how the maximum allowable FAR (effective FAR) of residential lots affects land prices with a hedonic approach. Based on data on Tokyo, the analysis reveals that lots with an effective FAR of less than 110%, or between 170% and 210%, were significantly cheaper than those with an effective FAR of between 110% and 160%. The result for the low effective FAR group was explained by restrictions on floor space, and the result for the 170% to 210% group applied to areas with relatively unattractive landscape. Further examination showed that the FAR currently specified by zoning is more often effective when it is low, and that restrictions in the form of shape controls are more often effective when the effective FAR is high. These analyses provided criteria for evaluating the current land use control system. Based on the results, concrete proposals are made for improving the regulation system.

Suggested Citation

  • Xiaolu Gao & Yasushi Asami & Wataru Katsumata, 2006. "Evaluating Land-Use Restrictions concerning the Floor Area Ratio of Lots," Environment and Planning C, , vol. 24(4), pages 515-532, August.
    • Handle: RePEc:sae:envirc:v:24:y:2006:i:4:p:515-532
    as

    Download full text from publisher

    File URL: http://epc.sagepub.com/content/24/4/515.abstract
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Han, Wenjing & Zhang, Xiaoling & Zheng, Xian, 2020. "Land use regulation and urban land value: Evidence from China," Land Use Policy, Elsevier, vol. 92(C).
    2. Wicht Marzena & Osińska-Skotak Katarzyna, 2016. "Temporal analysis of urban changes and development in Warsaw’s ventilation corridors," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 20(4), pages 11-21, December.
    3. Tan, Ya & Wang, Zhi & Zhang, Qinghua, 2020. "Land-use regulation and the intensive margin of housing supply," Journal of Urban Economics, Elsevier, vol. 115(C).
    4. Cai, Hongbin & Wang, Zhi & Zhang, Qinghua, 2017. "To build above the limit? Implementation of land use regulations in urban China," Journal of Urban Economics, Elsevier, vol. 98(C), pages 223-233.
    5. Qing Lu & Jing Ning & Hong You & Liyan Xu, 2023. "Urban Intensity in Theory and Practice: Empirical Determining Mechanism of Floor Area Ratio and Its Deviation from the Classic Location Theories in Beijing," Land, MDPI, vol. 12(2), pages 1-16, February.
    6. Fournier, Eric D. & Federico, Felicia & Porse, Erik & Pincetl, Stephanie, 2019. "Effects of building size growth on residential energy efficiency and conservation in California," Applied Energy, Elsevier, vol. 240(C), pages 446-452.
    7. Jan K. Brueckner & Shihe Fu & Yizhen Gu & Junfu Zhang, 2017. "Measuring the Stringency of Land Use Regulation: The Case of China's Building Height Limits," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 663-677, July.
    8. Jacek Batóg & Iwona Foryś & Radosław Gaca & Michał Głuszak & Jan Konowalczuk, 2019. "Investigating the Impact of Airport Noise and Land Use Restrictions on House Prices: Evidence from Selected Regional Airports in Poland," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    9. Ning Wang & Zhigang Chen & Tianshu Li & Mengjia Zhen, 2022. "Spatiotemporal Pattern Evolution and Influence Mechanism of Urban Vertical Expansion: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 11(3), pages 1-16, March.
    10. Xiaoyong Zhang & Zhengchao Chen & Yuemin Yue & Xiangkun Qi & Charlie H. Zhang, 2019. "Fusion of Remote Sensing and Internet Data to Calculate Urban Floor Area Ratio," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    11. Yu-Hsin Tsai, 2014. "Location-demand-based residential floor area ratio distribution method," Urban Studies, Urban Studies Journal Limited, vol. 51(12), pages 2685-2702, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirc:v:24:y:2006:i:4:p:515-532. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.