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Exploring the Quality of Urban Agricultural Landscapes Through an Analysis of Globally Distributed Case Studies

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  • Xiaochuan Xing

    (Department of Cultural Heritage, University of Bologna, 48121 Ravenna, Italy)

Abstract

Urban agricultural landscapes (UALs) constitute a vital component of urban agriculture (UA) initiatives. Nevertheless, rational and systematic evaluation guidelines remain lacking. This study, based on 16 UA case studies, aims to explore the value of UAL quality through a constructed evaluation system. It uses a combined methodology of literature review and case study analysis, alongside an urban agricultural landscape quality assessment (UALQA) framework. The evaluation system contains three dimensions—landscape design, landscape space, and landscape facilities—and 8 indicators with 25 sub-indicators. This study quantitatively assesses the 16 representative cases. The findings indicate that landscape design exerts the greatest influence on urban agricultural landscape quality (UALQ). Within the landscape space dimension, Sydney City Farm achieves the highest score (0.82). Within the landscape design dimension, Rijnvliet Edible Neighbourhood achieves the highest score (0.99). Within the landscape facilities dimension, La Ferme du Rail achieves the highest score (0.39). Through quantitative analysis, this study clarifies the characteristics of each case and proposes specific design strategies across the three dimensions to enhance UALQ. This research not only provides empirical evidence for constructing and applying quality systems but also stimulates fresh perspectives on the opportunities presented by UALs.

Suggested Citation

  • Xiaochuan Xing, 2025. "Exploring the Quality of Urban Agricultural Landscapes Through an Analysis of Globally Distributed Case Studies," Sustainability, MDPI, vol. 17(18), pages 1-29, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8155-:d:1746533
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    References listed on IDEAS

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    1. Lie Wang & Chuanhao Sun & Mo Wang, 2024. "Optimization Strategies for Waterfront Plant Landscapes in Traditional Villages: A Scenic Beauty Estimation–Entropy Weighting Method Analysis," Sustainability, MDPI, vol. 16(16), pages 1-16, August.
    2. Thais Thiesen & Mahadev G. Bhat & Hong Liu & Roberto Rovira, 2022. "An Ecosystem Service Approach to Assessing Agro-Ecosystems in Urban Landscapes," Land, MDPI, vol. 11(4), pages 1-23, March.
    3. Jinsong Zhang & Yiding Wang, 2023. "The Construction of the Landscape- and Village-Integrated Green Governance System Based on the Entropy Method: A Study from China," Agriculture, MDPI, vol. 13(9), pages 1-17, September.
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