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Landscape Aesthetics and Maintenance Perceptions: Assessing the Relationship between Homeowners’ Visual Attention and Landscape Care Knowledge

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  • Khachatryan, Hayk
  • Rihn, Alicia
  • Hansen, Gail
  • Clem, Taylor

Abstract

Residential landscape design choices can be used to reduce inputs (e.g. fertilizer, irrigation, etc.) to landscapes which may negatively impact the environment. However, homeowners’ opinions of low input landscapes are highly variable and frequently rely on aesthetic and maintenance perceptions. Understanding how consumers view low input landscapes is an important component when developing policies to encourage installation of more environmentally friendly options. The purpose of this study was to quantify homeowners’ perceptions of and visual attention to different landscape designs. Specifically, participants (n = 133) were asked to evaluate 8 Florida-Friendly Landscapes for curb appeal and maintenance requirements. While evaluating the landscapes, participants’ eye movements were recorded. Ordered logit models tested how landscape composition, consumer knowledge, and visual attention influenced their perceptions. Overall, visual appeal was highest for heterogeneous landscapes (i.e. incorporating both turfgrass and plants) and lowest for homogenous landscapes (i.e. primarily composed of turfgrass or plants). Homeowners with more knowledge about landscape care viewed the landscapes as more visually appealing and requiring less maintenance than participants with less knowledge. Greater visual attention was positively correlated with increased visual appeal and maintenance ratings. Overall, results imply that landscape ordinances that allow flexibility in incorporation of both turfgrass and ornamental plants optimizes visual appeal of landscape options and attract homeowners. Furthermore, emphasizing the reduced maintenance requirements of low input landscapes could encourage homeowner adoption.

Suggested Citation

  • Khachatryan, Hayk & Rihn, Alicia & Hansen, Gail & Clem, Taylor, 2020. "Landscape Aesthetics and Maintenance Perceptions: Assessing the Relationship between Homeowners’ Visual Attention and Landscape Care Knowledge," Land Use Policy, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:lauspo:v:95:y:2020:i:c:s0264837719316370
    DOI: 10.1016/j.landusepol.2020.104645
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    References listed on IDEAS

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    1. Yue, Chengyan & Hugie, Kari & Watkins, Eric, 2012. "Are Consumers Willing to Pay More for Low-Input Turfgrasses on Residential Lawns? Evidence from Choice Experiments," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(4), pages 549-560, November.
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    5. Khachatryan, Hayk & Suh, Dong Hee & Xu, Wan & Useche, Pilar & Dukes, Michael D., 2019. "Towards sustainable water management: Preferences and willingness to pay for smart landscape irrigation technologies," Land Use Policy, Elsevier, vol. 85(C), pages 33-41.
    6. Yue, Chengyan & Hugie, Kari & Watkins, Eric, 2012. "Are consumers willing to pay more for low-input turfgrasses on residential lawns? Evidence from choice experiments," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(4), pages 1-12, November.
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    1. Xumin Zhang & Hayk Khachatryan & Melinda Knuth, 2021. "Relating Knowledge and Perception of Sustainable Landscape Practices to the Adoption Intention of Environmentally Friendly Landscapes," Sustainability, MDPI, vol. 13(24), pages 1-13, December.
    2. Jianzhuang Zheng & Lingyan Huang, 2022. "Characterizing the Spatiotemporal Patterns and Key Determinants of Homestay Industry Agglomeration in Rural China Using Multi Geospatial Datasets," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    3. Andrea K. Burr & Damon M. Hall & Nicole Schaeg, 2021. "Wildness and Wild Spaces in Residential Yards: Changing Neighborhood Norms to Support Pollinator Populations," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
    4. Zheng Zhu & Qingyun He & Xiang Zhu, 2022. "Spatial Analysis for the Landscape Visual Aesthetic Quality of Urban Residential Districts Based on 3D City Modeling," Sustainability, MDPI, vol. 14(18), pages 1-28, September.

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