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Open space amenities and residential land use: An Australian perspective

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  • Jones, M.
  • Reed, R.G.

Abstract

In a competitive market the individuals will bid up house prices to a level reflecting the capitalised value of the benefits that property owners perceive they receive from the presence of amenities, however there have been relatively few recent studies into the relationship between house prices and active open space. This is an important area of research as active open space helps to address some of the high profile and emerging problems in society including lack of exercise, obesity and a sedentary lifestyle. In the findings the distance to active open space was found to have a significant relationship with the level of house prices. When distance was broken down into 100 m intervals, associations differed in terms of their direction and strength. Since demand for access to active open space outweighs the demand for passive open space, the findings confirm that large-scale residential developments need the assistance of planning authorities to revise policy in response to changing community needs.

Suggested Citation

  • Jones, M. & Reed, R.G., 2018. "Open space amenities and residential land use: An Australian perspective," Land Use Policy, Elsevier, vol. 75(C), pages 1-10.
  • Handle: RePEc:eee:lauspo:v:75:y:2018:i:c:p:1-10
    DOI: 10.1016/j.landusepol.2018.02.056
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    References listed on IDEAS

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    Cited by:

    1. Shenglin Ben & He Zhu & Jiajun Lu & Renfeng Wang, 2023. "Valuing the Accessibility of Green Spaces in the Housing Market: A Spatial Hedonic Analysis in Shanghai, China," Land, MDPI, vol. 12(9), pages 1-24, August.
    2. Glumac, Brano & Herrera-Gomez, Marcos & Licheron, Julien, 2019. "A hedonic urban land price index," Land Use Policy, Elsevier, vol. 81(C), pages 802-812.
    3. Wun-Jheng Wu & Pei-Ing Wu & Je-Liang Liou, 2021. "Boon or Bane: Effect of Adjacent YIMBY or NIMBY Facilities on the Benefit Evaluation of Open Spaces or Cropland," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    4. Wu, Chao & Du, Yihao & Li, Sheng & Liu, Pengyu & Ye, Xinyue, 2022. "Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space," Land Use Policy, Elsevier, vol. 115(C).
    5. Reisig, Dawson & Mullan, Katrina & Hansen, Andrew & Powell, Scott & Theobald, David & Ulrich, Rachel, 2021. "Natural amenities and low-density residential development: Magnitude and spatial scale of influences," Land Use Policy, Elsevier, vol. 102(C).
    6. Xiaofeng Zhao & Mingming Zhang & Ying Li & Xianjin Huang & Baiyuan Wang & Lin Zhang, 2020. "Urban residential land expansion and agglomeration in China: a spatial analysis approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5317-5335, August.
    7. GLUMAC Brano & HERRERA-GOMEZ Marcos & LICHERON Julien, 2018. "A residential land price index for Luxembourg: Dealing with the spatial dimension," LISER Working Paper Series 2018-07, Luxembourg Institute of Socio-Economic Research (LISER).

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