Sustainable Evaluation Systems for Cities

Alex Camprubi

Urban sustainability is determined less by slogans than by dashboards….

…  In practice, what cities measure is what they end up funding, prioritizing, and defending against the inevitable trade-offs of public spending. If the urban park is a piece of green infrastructure with long-term environmental, social, and economic returns. mitigating heat islands, regulating water, improving air quality, health, and social cohesion, its visibility in Sustainable Evaluation Systems (SES) should be high. However, the evidence reveals a structural blindness: within the 2030 Agenda: only 4 of the 231 indicators relate directly to urban parks and green infrastructure, equivalent to 1.7% of the total, thereby underrepresenting critical functions such as biodiversity, climate resilience, air quality, or outdoor thermal comfort (UN 2017; UNDESA 2022). This observation emerges clearly from the analysis of the base document, which notes that current SES, including the SDG matrix itself, do not adequately capture the sustainable contributions of urban parks, and that the 4/231 figure prevents, due to the simple absence of relevant indicators, park outcomes from translating into robust evidence of urban performance (ibidem).

Comparative literature supports and extends this diagnosis. Recent syntheses, such as that by Michalina et al. (2021), which filters 200 urban frameworks to select 50 with practical implementation and SDG anchoring, or the systematic mapping by Herath and Bai (2023) on urban green-blue infrastructure and nature-based solutions, converge on a finding: less than 16% of the indicators used in SES applied to cities address, even indirectly, variables relevant to green infrastructure (vegetation cover, water surfaces, ecological connectivity, permeability, thermal comfort), and when they do, they often lose resolution when scaling from the “site” to the urban park network (Michalina et al. 2021; Herath & Bai 2023; Kraemer & Kabisch 2021; Wang & Foley 2021). The base document precisely adopts these works as support, along with SITES and the Landscape Performance Series models by LAF (Landscape Architectural Foundation), to construct an operational cross-walk and demonstrates, with examples, that the deficit does not stem from a lack of relevance of parks, but from the way SES have been designed and weighted (SITES GBCI 2024; LAF 2018/2021; UN 2017; UNDESA 2022).

The origin of this myopia is threefold. First, there is a scale misalignment: many SES originated for two domains that are not the urban park network—the site (building, plot) and the macro-urban (aggregated stats). On one hand, standards like SITES First, SITES is an exemplary, evidence-based framework for site-level landscape performance: it operationalizes best practices across soil, water, habitat, materials, operations, and maintenance, materially advancing how we design, implement, and verify sustainable outcomes at the project scale. Second, there is inadequate granularity at the city scale: many “environmental” or “social” indicators are so coarse in  different SES (e.g., per-capita emissions, productivity, employment, cultural spending) that they cannot attribute outcomes to the performance of a park system, while other potentially sensitive measures are so technical or costly to collect that they are not readily replicable by local administrations. In practice, this is a question of reach: site metrics need a lightweight, network-scale roll-up so that microclimate, hydrology, habitat, and use benefits from multiple urban green infrastructure projects aggregate visibly at neighborhood, district, and city levels—making the public value of green infrastructure legible in municipal dashboards and investment decisions. Third, a governance deficit persists in measurement: qualitative metrics (perception, appropriation, effective use, reported well-being) and process metrics (participation, monitoring, evidence-based maintenance) are not yet integrated as naturally as economic or institutional ones. The reference text synthesizes this tension by articulating SITES, LAF, and SDGs as a useful but still in need to be a complementary framework for a rebalanced consideration toward indicators of network and green infrastructure with greater relative weight (SITES GBCI 2024; LAF 2018/2021; UN 2017; UNDESA 2022).

It is worth dwelling on the figures, as public policy is at stake there. The 2030 Agenda consists of 231 official individual, non repeated indicators, but only four are directly relevant to quantitative metrics of parks/green infrastructure; the rest operate at a level of abstraction that does not allow for guiding local decisions on shade networks, continuity of vegetation covers, isotropic accessibility to quality green areas, intra-urban water regulation, or habitat connectivity. In terms of policy design, this means that the value tree of green infrastructure barely appears on the dashboard. And when it does, its anchoring is usually tangential: percentage of green space per inhabitant; population with a park within walking distance; length of cycle paths; modal split; or municipal energy consumption. Such indicators are valuable, but they do not equate to a minimum weighted set that clearly translates the ecosystem services of the park system into aggregated urban outcomes (UN 2017; UNDESA 2022). The document precisely analyzes this gap, showing that the SDG matrix, without an adjustment for relevance and weighting, fails to “see” the real contribution of parks to decarbonization, adaptation, and spatial equity (UN 2017; UNDESA 2022).

Comparative literature not only quantifies the gap (that <16% indirect coverage) but also suggests where to act. Michalina et al. (2021) build a sample of 50 urban SES with practical implementation and SDG linkage; Herath and Bai (2023), from a universe of 5,812 documents, extract 690 relevant articles, 234 key terms, and 112 indicators, with emphasis on Urban Green Infrastructure (UGI); Kraemer and Kabisch (2021) provide spatial architecture of indicators for urban green areas; and Wang and Foley (2021) incorporate hierarchies that connect ecosystems, microclimate, and sociocultural benefits. The base document deliberately adopts these four references to assemble an urban-green repertoire compatible with the SDGs, and to demonstrate that the problem is not the non-existence of indicators, but their low weighting, metrics system and low presence in hegemonic city SES (Michalina et al. 2021; Herath & Bai 2023; Kraemer & Kabisch 2021; Wang & Foley 2021).

The most immediate consequence of this underrepresentation is budgetary. In the absence of a minimum set of green indicators with explicit weighting, park funding competes at a disadvantage with other infrastructures whose measurement is better established in urban SES. The table of 2030 Agenda financing (2010–2021) compiled by AidData illustrates a distribution that, at the local level, translates into portfolios where the green component becomes merely cosmetic if not “anchored” in outcome indicators with directive weight (Burgess, Custer & Custer 2023). In other words: if the municipal dashboard privileges economic and institutional variables and relegates environmental-ecosystem ones to optional or low-weight metrics, green infrastructure ends up in no-man’s-land: everyone invokes it, few prioritize it. The base document states it unequivocally: with four direct indicators and an SES ecosystem that rarely exceeds 16% indirect coverage, the administrative motivation to plan high-performance park networks, that are connected, shaded, biodiverse, with positive water balance and data-based maintenance, dissipates (Burgess, Custer & Custer 2023; UN 2017; UNDESA 2022).

The pending shift, therefore, is not rhetorical, but methodological and financial. Methodological, because it requires reindexing SES to include a mandatory core of weighted green indicators at the urban network scale (not just the site), such as: continuity and connectivity of vegetation covers; hours of outdoor thermal comfort in warm seasons; volume of retained and reused runoff in the park system; real isochronous distance to quality shade and wooded meadows; net habitat loss/gain in urban areas; carbon sequestration and storage in tree masses and soils; survival rate and tree age by neighborhood; spatial equity in the distribution of green surfaces and their accessibility. And financial, because adjusting the weighting enables these metrics to serve as a basis for performance-based budgeting (outcomes-based budgeting), to audit the public value of green infrastructure, and to leverage climate funds and philanthropic and corporate partnerships in park network projects that should be considered a strategic investment. Strictly speaking, the change in weighting is a fiscal lever: it shifts resources toward what demonstrates greater long-term social, environmental, and health returns (Burgess, Custer & Custer 2023).

How is this shift operationalized? The reference document proposes a dual movement. First, build an explicit cross-walk between SITES categories (soil, water, vegetation, materials, operations and maintenance) and SDG targets with urban relevance, to derive indicator sheets that are (i) measurable by local governments, (ii) comparable across parks, and (iii) traceable over time. Second, filter and prioritize with a relevance criterion (very relevant, relevant, little/not relevant) inspired by Lombardía and Gómez-Villarino (2023), which identifies 75 of the 169 targets with relation to green infrastructure and distinguishes 5 SDGs as very relevant, 8 relevant, and 4 little relevant for the urban domain. The document’s practical contribution is not to “add points,” but to make the performance of the park system legible for municipal decision-makers. Such a matrix, integrated into the city’s SES, avoids greenwashing (rewarding outcomes, not slogans), improves accountability, and directs maintenance toward what generates the most impact (Lombardía & Gómez-Villarino 2023; SITES GBCI 2024; LAF 2018/2021; UN 2017).

This methodological repositioning also has a virtuous effect on planning. Instead of designing parks as islands, the city can manage networks: edges and transitions, riparian corridors, microclimates concatenated by shade sequences, wetlands linked to increase water retention and reuse capacity, active mobility fabrics supported by quality thermal refuges. None of these attributes emerges spontaneously if the urban SES continues to measure the city as macro aggregates or “site” inventories. In contrast, with weighted network indicators, the park system leaves a mark on the dashboard: shade matters when it reduces operative temperature in usage hours; biodiversity matters when it connects habitats at district scale; water matters when the park’s water balance offsets runoff peaks and reduces pressure on gray networks. The document illustrates that this network perspective is already technically viable if SITES protocols, Landscape Performance Series Models from LAF collated evidence, and SDG targets re-interpreted with urban relevance are combined (SITES GBCI 2024; LAF 2018/2021; UN 2017).

However, no matrix survives if it does not fit within institutional capacity. Therefore, the emphasis should not be on “measuring everything,” but on agreeing on a compact core of 10–12 green indicators with high explanatory power, mandatory in the municipal SES, and with clear weightings. Candidates can be selected from the repertoires of SITES, LAF, and the literature, with three criteria: (1) plausible attribution to the park system, (2) relevance to urban SDG targets, and (3) measurability with accessible data (sensors, satellite imagery/remote sensing, tree inventories, usage surveys, operational audits). Once the core is defined, establish a baseline, update periodicity (e.g., biannual), public dashboards, and public value audits. With this, green infrastructure ceases to be an “amenity” and becomes a defensible investment with evidence. Again: what is weighted is prioritized; what is prioritized is funded (Burgess, Custer & Custer 2023).

In summary, Sustainable Evaluation Systems for Cities need fine surgery: it is not enough to “include” green infrastructure; it must be weighted according to its public value. As long as the urban dashboard continues to show four direct indicators and indirect coverage below 16%, parks will remain on the periphery of decision-making. The solution is not to invent another SES, but to reindex the existing ones: cross SITES with SDGs, rely on LAF’s evidence base and the literature (Michalina; Herath & Bai; Kraemer & Kabisch; Wang & Foley), set a mandatory core of network indicators, and give them real weight in urban performance calculation. When that happens, the chain of consequences is virtuous: more visibility induces more financial eligibility that in turn creates more investment in high-impact green infrastructure, furthermore achieving better outcomes in climate, health, and equity. In other words, a city that measures well its park system is better positioned to govern its ecological transition. And ultimately, that is the purpose of any serious SES: not to describe an ideal city, but to help build—with metrics, weightings, and budget—the city its inhabitants need.

 

 

 

References

Benedict, M.A.; McMahon, E.T. (2015) Green Infrastructure: Linking Landscapes and Communities (2nd ed.). Washington, DC: Island Press.

Burgess, B.; Custer, J.; Custer, S. (2023) Financing Agenda 2030: Are donors missing the mark on the Sustainable Development Goals? AidData, William & Mary.

Canfield, M.; Yang, R.; Whitlow, T. (2018; 2021) Landscape Performance Series. Landscape Architecture Foundation (LAF).

Herath, S.; Bai, X. (2023) Urban Green Infrastructure indicators: a systematic mapping of environmental, economic and social dimensions. (Base para compilar indicadores y vacíos en UGI).

Kraemer, R.; Kabisch, N. (2021) Indicators for urban green space performance: spatial metrics for cities. (Arquitectura espacial de métricas verdes aplicadas a escala urbana).

Lombardía, P.; Gómez-Villarino, M. (2023) Pertinencia de los ODS para infraestructura verde urbana: 5 muy relevantes, 8 relevantes, 4 poco relevantes; 75 metas IV.

Michalina, K.; et al. (2021) Urban Sustainability Indicator Frameworks (USIFs). Filtro de 200 marcos a 50 con implementación práctica y anclaje ODS.

Sustainable SITES Initiative; GBCI (2024) SITES Rating System. (Categorías de suelo, agua, vegetación, materiales; foco a escala “sitio”). 

United Nations (2017) The Sustainable Development Goals Report. (Estructura oficial de 231 indicadores). 

UNDESA — United Nations Department of Economic and Social Affairs (2022) SDG Global Indicator Framework (Revisions). (Actualizaciones metodológicas de indicadores ODS).

Wang, A.; Foley, R. (2021) A hierarchical index for urban park performance: ecosistemas, microclima y beneficios socioculturales. (Jerarquías conectadas a escala de parque-red).

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