Fig. 2: Multilevel analysis of SDG scores—assessing sustainability at the building, district, and regional levels. | npj Urban Sustainability

Fig. 2: Multilevel analysis of SDG scores—assessing sustainability at the building, district, and regional levels.

From: Actionable insights for equitable urban sustainability transition through building-level assessment of sustainable development goals

Fig. 2

This figure showcases a comparative multilevel analysis of Sustainable Development Goal (SDG) scores across buildings, districts, and regions in Kowloon, Hong Kong. The focus is on evaluating the relative sustainability performance of each level, with a particular emphasis on the Sang On Building, Kowloon City District, and surrounding areas. Regional and District Scores: The Kowloon City District achieves the highest overall SDG score of 2.04, signifying strong sustainability efforts and access to essential services. The Kowloon Region demonstrates an overall SDG score of 1.62, highlighting its average performance compared to other regions. The Sang On Building, specifically, stands out with an overall SDG score of 3.8, significantly outperforming both district and regional averages. Map Representation: The map uses a gradient color scheme to represent SDG performance, with darker shades indicating higher scores. The boundary of the Kowloon City District is clearly marked, emphasizing its spatial relationship to the Sang On Building and surrounding infrastructure. Icons and arrows point to key areas of interest, including the highlighted Sang On Building. District-Wide Data Table: The accompanying table provides a detailed breakdown of SDG scores (SDG 1–17) for all districts. Notable observations from the table include: Islands District: Lowest overall SDG score of 1.17, indicating a need for targeted development initiatives. Kowloon City District: Strong scores across SDG 9 (Industry, Innovation, and Infrastructure: 10) and SDG 11 (Sustainable Cities: 4.32). Insights for Policymakers: The figure highlights disparities in SDG performance, offering a data-driven basis for prioritizing development efforts. Districts and regions with lower SDG scores, such as Islands, Eastern, and Sha Tin, present opportunities for targeted improvements. This figure provides a multilevel visualization of urban sustainability, enabling comparisons across buildings, districts, and regions. It supports urban planners and policymakers in designing strategies to enhance SDG performance while addressing inequalities in resource distribution and service accessibility.

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