Detailed List of Example Indicators
Learn more details about the regenerative outcomes and capacity indicators identified by the Singapore University of Technology and Design.
Regenerative Outcome Indicators
❶ Liveability
High Quality of Life
A high quality of life ensures residents are part of safe, inclusive and vibrant communities. Its indicators can be linked to compact urban environments, like measuring quality transport options.
Indicator | Method of Calculation | Key References |
|---|---|---|
Life Expectancy | Average life expectancy for inhabitants | World Health Organization (WHO), World Health Statistics 2024: Monitoring Health for the SDGs (Geneva: WHO, 2024). |
Resident Retention Rate | Duration of residence in district | Gehl Institute, Inclusive Healthy Places: A Guide to Inclusion and Health in Public Spaces (Copenhagen: Gehl Institute, 2018). |
Resident Satisfaction | Resident satisfaction survey | Gehl Institute, Inclusive Healthy Places. |
Modal Split of Journey to Work | Ratio of residents who take public transport, walk or bike to work | Nicholas Martino, Cynthia Girling and Yuhao Lu, "Urban form and livability: socioeconomic and built environment indicators", Buildings and Cities 2.1 (2021): 220–243. |
Sustainable Environment
A sustainable environment safeguards the city's natural resources and biodiversity while developing with nature. Such indicators capture the interdependencies of liveability and ecosystem health.
Indicator | Method of Calculation | Key References |
|---|---|---|
Air Quality | Annual average air quality index | WHO, WHO Global Air Quality Guidelines (Geneva: WHO, 2021). |
Surface Water Quality | Proportion of wastewater generated on-site that is treated before release | DataDrivenEnviroLab, "Urban Environment and Social Inclusion Index" (UESI), n.d. |
Safe Drinking Water | Age-standardised disability-adjusted life-years (DALYs) lost per 100,000 persons due to exposure to unsafe drinking water | Environmental Performance Index, “Unsafe drinking water" data, available at https://epi.yale.edu/measure/2024/UWD. |
Ambient Noise Level | % of residential area exceeding 55 dB(A) Lden threshold | European Environment Agency, Environmental Noise in Europe—2020, EEA Report 22/2019 (Luxembourg: Publications Office of the European Union, 2020). |
Green Amenity Access | Year on year change in % of population living within 400-m walking distance of a park or green space | Lena Chan et al., Handbook on the Singapore Index on Cities' Biodiversity (also known as the City Biodiversity Index (CBI) (Montreal: Secretariat of the Convention on Biological Diversity and Singapore: National Parks Board, Singapore, 2021), Indicator 13, 26. Urban Redevelopment Authority (URA), A Green & Liveable City: Singapore Urban Design Guidebook (Singapore: URA, 2015), 1.1.2. 32–50. |
Competitive Economy
A competitive economy ensures that residents have access to quality jobs and the city fosters a dynamic business environment. Indicators include measuring the multi-functionality of developments.
Indicator | Method of Calculation | Key References |
|---|---|---|
Income Equity (Gini) | Gini coefficient of household income distribution within district (0–1) | United Nations (UN) Human Settlements Programme (UN-HABITAT), Guidelines for Reporting the Implementation of the New Urban Agenda, revised ed. (Nairobi: UN Habitat, 2024). |
Employment Rate | % of working-age population (15–64) in employment within the district | Organisation for Economic Co-operation and Development, (OECD), Implementation toolkit of the OECD Principles on urban policy, OECD Regional Development Papers, 31 (Paris: OECD Publishing, 2022). Gehl Institute, Inclusive Healthy Places. |
Local Business Diversity | Shannon entropy index of business establishment types per district | Martino, Girling and Lu, “Urban form and liveability”. |
Ground Floor Activation | % of ground floor frontage in active use (retail, F&B, community) | Gehl Institute, Inclusive Healthy Places. |
❷ Resilience
Climate Resilience
Climate resilience indicators measure the effectiveness of climate change mitigation and adaptation efforts, as well as adaptive capacity for climate impacts.
Indicator | Method of Calculation | Key References |
|---|---|---|
Urban Heat Reduction | Year-on-year change in mean land surface temperature (°C) | John Patrick Connors, Christopher S. Galleti and Winston T.L. Chow, “Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona”, Landscape Ecology 28 (2013): 271-283. |
Flood Risk Exposure | % of district area within modelled 1-in-100-year flood zone | Intergovernmental Panel on Climate Change (IPCC), “Small Islands”, in Climate Change 2022—Impacts, Adaptation and Vulnerability, Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge and New York: Cambridge University Press 2022), 2043-2121. |
Annual Runoff Volume Control Rate | The percentage of rainfall retained and reused on-site | Mark Randall et al., "Evaluating Sponge City volume capture ratio at the catchment scale using SWMM", Journal of Environmental Management 246 (2019): 745–757. |
Water Stress Indicator | Ratio of freshwater reserves to population size (per capita) | Malin Falkenmark, Jan Lundqvist and Carl Widstrand, "Macro-scale water scarcity requires micro-scale approaches", Natural Resources Forum 13.4 (1989): 258–267. |
Environmental Resilience
Environmental resilience indicators measure ecosystem health through cumulative quantity, diversity and quality of non-human life within the urban area and its hinterland.
Indicator | Method of Calculation | Key References |
|---|---|---|
Urban Greenness Indicator | Area-averaged (mean) NDVI [may also include peak NDVI, annual mean NDVI, population-weighted peak NDVI, and population-weighted annual mean NDVI] | Jennifer D. Stowell et al., “Development of a global urban greenness indicator dataset for 1,000+ cities”, Data in Brief 48 (2023): 109140. |
Plant Species Richness | Count of native vascular plant species per standard survey area | Chan et al., CBI Indicator 4. |
Bird Species Richness | Count of native bird species recorded per standard survey period | Chan et al., CBI Indicator 5. |
Soil Retention | Water erosion of soil in tonnes/ha/year | Panos Panagos et al., “How the EU Soil Observatory is providing solid science for healthy soils”, European Journal of Soil Science 75.3 (2024): e13507. |
Habitat Restoration | (Area of habitat restored in year) / (area of degraded habitat) × 100% | Chan et al., CBI Indicator 5. United Nations Environment Programme, Convention on Biological Diversity, “Decision Adopted by the Conference of the Parties to the Convention on Biological Diversity: 15/4. Kunming-Montreal Global Biodiversity Framework”, 19 December 2022. |
Social Resilience
Social resilience indicators, such as the prevalence of civic participation and social cohesion indices, gauge the capacity of communities to respond to disruptions.
Indicator | Method of Calculation | Key References |
|---|---|---|
Civic Participation Rate | Number of urban community resident associations | Robert Osei-Kyei et al., “Critical review of urban community resilience indicators”, Smart and Sustainable Built Environment 13.6 (2024): 1511–1537. |
Social Cohesion Index | Standardised survey questions for measuring interpersonal trust and institutional trust, with a core module of five questions using 0–10 scales | OECD, OECD Guidelines on Measuring Trust (Paris: OECD Publishing, 2017), Annex 2, 196–211. |
Local Environmental Stewardship Indicator | Survey across seven action categories, quantifies stewardship of the environment by members of the local community | John W. Turnbull, Emma L. Johnston and Graeme F. Clark, “LESI: A quantitative indicator to measure local environmental stewardship”, MethodsX 7 (2020): 101141. |
❸ Resource Optimisation
Carbon
Carbon indicators are premised on scientific consensus around carbon accounting methodologies.
Indicator | Method of Calculation | Key Reference |
|---|---|---|
Total GHG Intensity | Total tCO₂e (Scope 1+2) / resident population per year | World Resources Institute, C40 Cities and ICLEI, Global Protocol for Community-Scale Greenhouse Gas Inventories: An Accounting and Reporting Standard for Cities, Version 1.1 (Washington, DC: World Resources Institute, 2021). |
Scope 1: Stationary Combustion | tCO₂e from stationary fuel combustion within district boundary per year | |
Scope 1: In-boundary Transport | tCO₂e from in-boundary transportation per year | |
Scope 1: Agriculture Forestry and Other Land Use Change | tCO₂e from AFOLU in boundary per year | |
Scope 1: Industrial Processes | tCO₂e from IPPU in boundary per year | |
Scope 1: In Boundary Waste and Wastewater Emissions | tCO₂e from in-boundary Waste and Wastewater treatment per year | |
Scope 2: Grid-supplied Energy | tCO₂e from purchased grid electricity and heat per year |
Land
Land indicators assess how integrated developments are through the compactness of land use and co-location of amenities.
Indicator | Method of Calculation | Key Reference |
|---|---|---|
Land Use Compactness | Moran's I spatial autocorrelation index of built-up density across the district | Amnon Frenkel and Maya Ashkenazi, “Measuring Urban Sprawl: How Can We Deal with It?”, Environment and Planning B: Urban Analytics and City Science 35.1 (2008): 56–79. Miriam Steurer and Caroline Bayr, “Measuring urban sprawl using land use data”, Land Use Policy 97 (2020): 104799. |
Water
Water indicators track progress toward water security and circular water management.
Indicator | Method of Calculation | Key Reference |
|---|---|---|
Water Consumption Intensity | Annual daily average of potable water consumption / resident population (litres/capita/day) | Mohit Arora et al., “Assessing water circularity in cities: Methodological framework with a case study”, Resources, Conservation and Recycling 178 (2022): 106042. |
Materials
Material indicators track progress toward a circular economy for material flows through the rate of recycling and building reuse.
Indicator | Method of Calculation | Key References |
Waste Recycling Rate | % of total municipal solid waste diverted from landfill through recycling or reuse per year | Carolin Bellstedt et al., CityLoops: Urban Circularity Assessment Method, Deliverable 4.4, 1 (CityLoops, 2022). |
Building Reuse Rate | % of construction permits for renovation/adaptive reuse vs. new construction per year | David Cheshire, Regenerative by Design: Creating Living Buildings and Cities (London: RIBA Publishing, 2024). |
Food
Food indicators track progress toward food security and resilience, measuring production and consumption patterns that support urban agriculture ecosystems.
Indicator | Method of Calculation | Key Reference |
|---|---|---|
Local Food Production | % of total food consumption (by weight) sourced from within the city or peri-urban region | Chan et al., CBI Indicator 14. |
Regenerative Capacity Indicators
❶ Density
Built Environment
Indicators for the built environment measure how well the city harnesses the benefits of urban density, including enhancing information exchange, economic productivity and social cohesion.
Indicator | Method of Calculation | Key References |
|---|---|---|
Gross Plot Ratio | Total gross floor area / site area | Martino, Girling and Lu, “Urban form and liveability”. |
Population Density | Resident population / site area | Robert I. McDonald et al., “Denser and greener cities: Green interventions to achieve both urban density and nature”, People and Nature 5.1 (2023): 84–102. |
Impervious Surface Coverage | % of site area covered by impervious surfaces | McDonald et al., “Denser and greener cities”. Chan et al., CBI Indicator 10. Stanford University, Urban Flood Risk Mitigation, InVest User Guide. |
Skyview Factor (SVF) | Average SVF for 10m samples across the district (SVF is the ratio of the visible sky area of a point in space to the total sky area) | Chunping Miao et al., "Review of methods used to estimate the sky view factor in urban street canyons", Building and Environment 168 (2020): 106497. |
Frontal Area Density (FAD) | Average FAD for the district across 200x200m samples | C.S.B. Grimmond and T.R. Oke, "Aerodynamic properties of urban areas derived from analysis of surface form", Journal of Applied Meteorology 38.9 (1999): 1262–1292. |
Natural Environment
Indicators for the natural environment reflect how well the city stewards its land to support the protection of natural ecosystems.
Indicator | Method of Calculation | Key References |
|---|---|---|
Proportion of Natural Areas in the City | (Total area of natural, restored and naturalised areas) ÷ (Area of city) × 100% | Chan et al., CBI Indicator 1. Convention on Biological Diversity, Kunming-Montreal Global Biodiversity Framework (GBF), “2030 Targets (with Guidance Notes)”, n.d., Targets 2, 3. |
Protected Natural Area | (Area of protected or secured natural areas) / (total district area) × 100% | Chan et al., CBI Indicator 8. GBF, “2030 Targets”, Target 3. Matthew Selinske et al., “Biodiversity needs both land sharing and land sparing”, Nature 620 (2023): 727. |
Tree Canopy Coverage | % of site area covered by tree canopy (from NDVI satellite data) | McDonald et al., “Denser and greener cities”. |
Cross-system Integration
Indicators for cross-system integration show how the city operates as an integrated urban environment. These include measuring shared green spaces, and greenery on horizontal and vertical surfaces.
Indicator | Method of Calculation | Key References |
|---|---|---|
Shared Green Space Plot | % of site area in shared human–nature use (parks, gardens, green roofs) | Thomas Schröpfer, Dense + Green Cities (Basel: Birkhäuser, 2020). WOHA and bioSEA, Designing for Biodiversity: The Value of Nature Centric Design (Singapore: WOHA, 2024). |
Green Plot Ratio | Weighted Leaf Area Index total / site area (unitless) | Boon Lay Ong, “Green plot ratio: an ecological measure for architecture and urban planning”, Landscape & Urban Planning 63.4 (2003): 197–211. |
❷ Diversity
Built Environment
Built environment indicators include land use types, housing typologies and ground floor uses.
Indicator | Method of Calculation | Key Reference |
|---|---|---|
Land Use Diversity | Shannon entropy index of land use types within site boundary | Martino, Girling and Lu, “Urban form and liveability”. |
Housing Typology Mix | Shannon entropy of dwelling unit types (by size/tenure) within district | |
Ground Floor Use Mix | Count of distinct ground floor use categories per 100-m of street frontage | Gehl Institute, Inclusive Healthy Places. |
Natural Environment
Natural environment indicators assess habitat biodiversity and tree species diversity.
Indicator | Method of Calculation | Key References |
|---|---|---|
Habitat Biodiversity Value | Biodiversity value score calculated as the product of habitat size, condition, conservation priority and strategic significance, expressed in biodiversity units. Habitat types classified using the IUCN Global Ecosystem Typology. | Ramboll, Global Biodiversity Metric (GBM): Launched at UN COP16, Cali, 2024, adapted from Natural England Biodiversity Metric 4.0. |
Tree Species Diversity | Shannon entropy index of tree species from municipal tree inventory | Chan et al., CBI. |
Cross-system Integration
Cross-system integration indicators count the number of distinct landscape elements.
Indicator | Method of Calculation | Key References |
Landscape Element Diversity | Count of distinct landscape elements (planter, green wall, pond, etc.) / site area | WOHA and bioSEA, Designing for Biodiversity. |
❸ Connectivity
Built Environment
Built environment indicators include access to public transport, social services and green spaces.
Indicator | Method of Assessment | Key References |
|---|---|---|
Key Services Index | Average network distance to school, clinic, and retail centre (m) | Centre for Liveable Cities (CLC), Building Liveable and Sustainable Cities: A Framework for the Future (Singapore: CLC, 2025). Martino, Girling and Lu, “Urban form and liveability”. |
Walkability Index | Composite of intersection density, average block length, and land-use entropy within 400m buffer | Lawrence D. Frank et al., "The development of a walkability index: application to the Neighborhood Quality of Life Study", British Journal of Sports Medicine 44.13 (2009): 924–933. |
Rail Transit Access | Network distance to nearest rail/MRT station (m) | Martino, Girling and Lu, “Urban form and liveability”. |
Bus Network Access | Network distance to nearest bus stop (m) | |
Cycling Infrastructure Access | Network distance to nearest dedicated cycling path (m) |
Natural Environment
Natural environment indicators include landscape fragmentation and ecological corridors.
Indicator | Method of Assessment | Key References |
|---|---|---|
Ecosystem Connectivity | Betweenness centrality of nearest landscape patch (spatial network analysis) | Darrel Chin Fung Tiang et al., “Ecological connectivity in fragmented agricultural landscapes and the importance of scattered trees and small patches”, Ecological Processes 10, 20 (2021). |
Effective Mesh Size | Area-weighted mean of unfragmented landscape patch sizes (ha) | Megan R. Deslauriers et al., “Implementing the connectivity of natural areas in cities as an indicator in the City Biodiversity Index (CBI)”, Ecological Indicators 94.2 (2018): 99–113. Chan et al., CBI Indicator 2. |
Access to Nature | Network distance from residential parcel to nearest park or nature area (m) | Chan et al., CBI Indicator 13. |
Ecological Corridor Length | Total length of dedicated ecological corridors (km) | Richard T.T. Forman, Land Mosaics: The Ecology of Landscapes and Regions (Cambridge: Cambridge University Press, 1995). |
Cross-system Integration
An example of an indicator that measures cross-system integration is the proportion of active mobility networks that are co-located with green corridors.
Indicator | Method of Assessment | Key Reference |
|---|---|---|
Green Mobility Co-location | % of active mobility network (walking/cycling) co-located with green corridor or park connector | Kiat W. Tan, “A greenway network for Singapore”, Landscape and Urban Planning 76 (2006): 45–66. |
