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Prediction of the Shape of Detached Houses on Residential Lots

Author

Listed:
  • Yasushi Asami

    (Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan)

  • Tamiki Ohtaki

    (Data Communication Sales Headquarters, Japan Telecom Co. Ltd, 4-7-1, Hatchobori, Chuo-ku, Tokyo, 104-8508, Japan)

Abstract

In this paper we develop a model that predicts the shape of detached houses from the shape of residential lots by introducing the framework of the associative memory model. The model is based on the idea that, if the shapes of lots are similar, then the positions of associated houses may also be similar. To this effect, “similarity indices†of lots are devised and transformed into probabilities. The overlay of sample house positions weighted by the probabilities predicts the probability density for each point in the lot covered by a house. The model is tested empirically with data from Hiratsuka city in the Kanagawa prefecture in Japan. The results of its sensitivity analysis by gradually changing the lot shape reproduces the actual tendencies of allocation of houses and yards for lots of limited area.

Suggested Citation

  • Yasushi Asami & Tamiki Ohtaki, 2000. "Prediction of the Shape of Detached Houses on Residential Lots," Environment and Planning B, , vol. 27(2), pages 283-295, April.
    • Handle: RePEc:sae:envirb:v:27:y:2000:i:2:p:283-295
    DOI: 10.1068/b2629
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    References listed on IDEAS

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    1. Asami, Y., 1995. "Evaluation of the shape of residential lots in land-readjustment projects," Regional Science and Urban Economics, Elsevier, vol. 25(4), pages 483-503, August.
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    Cited by:

    1. Asami, Yasushi & Niwa, Yukari, 2008. "Typical lots for detached houses in residential blocks and lot shape analysis," Regional Science and Urban Economics, Elsevier, vol. 38(5), pages 424-437, September.
    2. Hiroyuki Usui, 2019. "Statistical distribution of building lot depth: Theoretical and empirical investigation of downtown districts in Tokyo," Environment and Planning B, , vol. 46(8), pages 1499-1516, October.
    3. Duranton, Gilles & Puga, Diego, 2015. "Urban Land Use," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 467-560, Elsevier.
    4. Seraphim Alvanides & Danny Dorling, 2022. "Featured graphics: Migrating from EP-A to EP-B," Environment and Planning B, , vol. 49(4), pages 1163-1166, May.
    5. LAI, Lawrence W.C. & DAVIES, Stephen N.G. & CHAU, K.W. & CHOY, Lennon H.T. & CHUA, Mark H. & LAM, Terry K.W., 2022. "A centennial literature review (1919–2019) of research publications on land readjustment from a neo-institutional economic perspective," Land Use Policy, Elsevier, vol. 120(C).
    6. Masahiro Taima & Yasushi Asami & Kimihiro Hino, 2019. "The relation between block size and building shape," Environment and Planning B, , vol. 46(1), pages 103-121, January.
    7. Yuanyuan Huang & Scott N. Lieske & Yan Liu, 2023. "Factors influencing vertical urban development at the parcel scale: The case in Brisbane, Australia," Environment and Planning B, , vol. 50(3), pages 694-708, March.

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