Average share of the built-up area of cities that is green/blue space for public use for all.
2024-03-28 12:00:00 UTC
N/A
Headline indicator for Target 12: Significantly increase the area and quality, and connectivity of, access to, and benefits from green and blue spaces in urban and densely populated areas sustainably, by mainstreaming the conservation and sustainable use of biodiversity, and ensure biodiversity-inclusive urban planning, enhancing native biodiversity, ecological connectivity and integrity, and improving human health and well-being and connection to nature, and contributing to inclusive and sustainable urbanization and to the provision of ecosystem functions and services
The value of public spaces is often overlooked or underestimated by policy makers, leaders, citizens and urban developers. There are several reasons for this, such as lack of appreciation of the value of these spaces to the functioning of urban systems and quality of life, prevailing urban planning processes, the lack of resources, or understanding or capacity to use public space as a complete, multi-functional urban system. Often the lack of appropriate enabling frameworks, weak political will and the absence of the means of public engagement compound the situation.
The Sustainable Development Goals (SDGs) have for the first time provided a platform where public spaces can be globally monitored. Indicator 11.7.1 measures the share of land allocated to public spaces and the total population with access of these spaces by age, gender and disability. The share of land that a city allocates to streets and open public spaces is not only critical to its productivity, but also contributes significantly to the social dimensions and health of its population. The size, distribution and quality of a city’s overall public space act as a good indicator of shared prosperity. A well developed and properly designed network of streets increases connectivity, promotes walking and social interactions but also income, gender, race or disability status and one that promotes multiple activities not only encourages their use, but also contributes to the urban character and quality of urban life.
Cities that improve and sustain the use of public space, including streets, enhance community cohesion, civic identity, and quality of life. A prosperous city develops policies and actions for sustainable use of, and equitable access to public space. In many cities however, there has been neglect of public space - both in quantity and quality, which has been further exacerbated by uncontrolled rapid urbanization which has created disorderly settlement patterns with alarmingly low shares of public space, as well as a dramatic reduction of public spaces. There is a need to expand the ratio of land allocated to public spaces and improve their qualities to make cities and urban areas more efficient, liveable, prosperous, and sustainable. Reclaiming urban spaces for people encourages development of other street activities that bring life to a city. Equally, a well distributed and hierarchical system of open public spaces that can be accessed by all regardless of is part of how we can humanize our cities and make our streets and public areas more communal.
The following is the definition of the SDG 11.7.1 indicator and consequently there could be small variations in the definition for the’ Average share of the built-up area of cities that is green/blue space for public use for all’.
Indicator 11.7.1 has several interesting concepts that required global consultations and consensus. These include; built-up area, cities, open spaces for public use, etc. As a custodian agency, UN-Habitat has worked on these concepts along with several other partners.
City: A range of accepted definitions of the “city” exist, from those based on population data and extent of the built-up area to those that are based solely on administrative boundaries. These definitions vary within and between nations, complicating the task of international reporting for the SDGs. Definitions of cities, metropolitan areas and urban agglomerations also vary depending on legal, administrative, political, economic or cultural criteria in the respective countries and regions. Since 2016UN-Habitat and partners organized global consultations and discussions to narrow down the set of meaningful definitions that would be helpful for the global monitoring and reporting process. Following consultations with 86 member states, the United Nations Statistical Commission, in its 51st Session (March 2020) endorsed the Degree of Urbanisation (DEGURBA) as a workable method to delineate cities, urban and rural areas for international statistical comparisons. 1 This definition combines population size and population density thresholds to classify the entire territory of a country along the urban-rural continuum, and captures the full extent of a city, including the dense neighbourhoods beyond the boundary of the central municipality. DEGURBA is applied in a two-step process: First, 1 km2 grid cells are classified based on population density, contiguity and population size. Subsequently, local units are classified as urban or rural based on the type of grid cells in which majority of their population resides. For the computation of indicator 11.7.1, countries are encouraged to adopt the degree of urbanisation to define the analysis area (city or urban area).
Built-up area of cities: Conventionally, built up areas of cities are areas occupied by buildings and other artificial surfaces. For indicator 11.7.1, built up areas, as the indicator denominator has the same meaning as “city” (see definition of city above).
Public space: The Global Public Space toolkit defines Public Space as all places that are publicly owned or of public use, accessible and enjoyable by all, for free and without a profit motive, categorized into streets, open spaces and public facilities. Public space in general is defined as the meeting or gathering places that exist outside the home and workplace that are generally accessible by members of the public, and which foster resident interaction and opportunities for contact and proximity. This definition implies a higher level of community interaction and places a focus on public involvement rather than public ownership or stewardship. For the purpose of monitoring and reporting on indicator 11.7.1, public space is defined as all places of public use, accessible by all, and comprises open public space and streets.
Land allocated to streets refers to the total area of the city/urban area that is occupied by all forms of streets (as defined above). This indicator only includes streets available at the time of data collection and excludes proposed networks.
Open public space: is any open piece of land that is undeveloped or land with no buildings (or other built structures) that is accessible to the public without charge, and provides recreational areas for residents and helps to enhance the beauty and environmental quality of neighbourhoods. UN-Habitat recognizes that different cities have different types of open public spaces, which vary in both size and typology. Based on the size of both soft and hard surfaces, open public spaces are broadly classified into six categories: national/metropolitan open spaces, regional/larger city open spaces, district/city open spaces, neighbourhood open spaces, local/pocket open spaces and linear open spaces. Classification of open public space by typology is described by the function of the space and can include: green public areas, riparian reserves, parks and urban forests, playground, square, plazas, waterfronts, sports field, community gardens, parklets and pocket parks.
Potential open public space: the identification of open public spaces across cities can be implemented through, among other sources, analysis of high to very high resolution satellite imagery, from base-maps provided by different organizations (eg OpenStreetMap, Esri, etc) or as crowd-sourced and volunteered data. While these sources provide important baseline data for indicator 11.7.1, some of the identifiable spaces may not meet the criteria of being “accessible to the public without charge”. The term “potential open public space” is thus used to refer to open public spaces which are extracted from the above-mentioned sources (based on their spatial character), but which are not yet validated to confirm if they are accessible to the public without charge.
Streets are defined thoroughfares that are based inside urban areas, towns, cities and neighbourhoods most commonly lined with houses or buildings used by pedestrians or vehicles in order to go from one place to another in the city, interact and to earn a livelihood. The main purpose of a street is facilitating movement and enabling public interaction. The following elements are considered as streets space: Streets, avenues and boulevards, pavements, passages and galleries, Bicycle paths, sidewalks, traffic island, tramways and roundabouts. Elements excluded from street space include plots (either built-up), open space blocks, railways, paved space within parking lots and airports and individual industries.
For more details and illustrations on the definition of the different types of open spaces considered for indicator 11.7.1 see SDG 11.7.1 step by step training module (https://unhabitat.org/sites/default/files/2020/07/...).
The following is the definition of the SDG 11.7.1 indicator and consequently there could be small variations in the definition for the’ Average share of the built-up area of cities that is green/blue space for public use for all’.
The method to estimate the area of public space has been globally piloted in over 600 cities and this follows a series of methodological developments that go back to the last 7 years. The finalized methodology is a three-step process:
a) Spatial analysis to delimit the city/urban area which will act as the geographical scope for the spatial analysis and indicator computation;
b) Spatial analysis to identify potential open public spaces, expert consultations and/or field work to validate data and assess the quality of spaces and calculation of the total area occupied by the verified open public spaces;
c) Estimation of the total area allocated to streets
d) Estimation of share of population with access to open public spaces within 400 meters walking distance out of the total population in the city/ urban area and disaggregation of the population with access by sex, age and persons with disabilities
a.Spatial analysis to delimit the city/urban area
Following consultations with 86 member states, the United Nations Statistical Commission in its 51st Session (March 2020) endorsed the Degree of Urbanisation (DEGURBA) as a workable method to delineate cities, urban and rural areas for international statistical comparisons. Countries are thus encouraged to adopt this approach, which will help them produce data that is comparable across urban areas within their territories, as well as with urban areas and cities in other countries. More details on DEGURBA and its application are available here:https://unstats.un.org/unsd/statcom/51st-session/documents/BG-Item3j-Recommendation-E.pdf
b.Spatial analysis to identify potential open public spaces, ground verification and estimating their total area
This step involves mapping of potential open public spaces within the urban boundaries defined in step one above and estimation of their area. Identification of potential open public spaces is based on the spatial character of each space and is also informed by existing country/ city land use maps and open space inventories. To compute this component of the indicator, follow these steps:
c) Computation of land allocated to streets (LAS)
Where street data by width and length fields is available/specified, the following methodology could be used:
Where detailed data on streets is not available, there is need to map out each street line (or the entire area covered by the streets), measure its length and width, which are required for the area computation. For small urban areas, it is possible to manually digitize all streets, but this is more complex for large urban areas and cities. For these large urban areas, an alternative technique for computing land allocated to the streets is one that adopts sampling principles.An approach that uses the Halton sampling sequence is recommended, specifically because the sequence generates equidistant points, increasing the degree of sample representativeness. To compute LAS using this method, follow the following steps:
Open source datasets such as OpenStreetMap (OSM) have a good amount of street data on many cities, which is increasingly being updated and extended to cover new areas. This data can also be used as a starting point to understand the pattern of streets in a city. Upon verification of the OSM street categorization for each city, sampling can be used to estimate the average width of each street category, which can in turn help compute the share of land allocated to streets.
The final computation of the indicator is done using the formula:
d) Estimation of share of population with access to open public spaces and disaggregation by population group
To help define an “acceptable walking distance” to open public spaces”, UN-Habitat organized a series of consultations with national statistical officers, civil society and community groups, experts in diverse fields, representatives from academia, think tanks, other UN-agencies, and regional commissions among other partners. These consultations, which were held between 2016 and 2018 concluded that a walking distance of 400 meters - equivalent to 5 minutes’ walk was a practical and realistic threshold. Based on this, a street network-based service area is drawn around each public open space, using the 400 meters access threshold. All populations living within the service areas are in turn identified as having access to the public open spaces, based on the following key assumptions:
The estimation of total population with access to open public spaces is achieved using the two broad steps described below:
The following is the definition of the SDG 11.7.1 indicator and consequently there could be small variations in the definition for the’ Average share of the built-up area of cities that is green/blue space for public use for all’.
The method to estimate the area of public space has been globally piloted in over 600 cities and this follows a series of methodological developments that go back to the last 7 years. The finalized methodology is a three-step process: a) Spatial analysis to delimit the city/urban area which will act as the geographical scope for the spatial analysis and indicator computation; b) Spatial analysis to identify potential open public spaces, expert consultations and/or field work to validate data and assess the quality of spaces, and calculation of the total area occupied by the verified open public spaces; c) Estimation of the total area allocated to streets; d) Estimation of share of population with access to open public spaces within 400 meters walking distance out of the total population in the city/ urban area and disaggregation of the population with access by sex, age and persons with disabilities.
Methodology for SDG 11.7.1 is available and has been piloted in over 1000 cities and 123 countries. Data on the indicator is published by UN-Habitat (https://data.unhabitat.org)
City land use plans, high to very high resolution satellite imagery (open sources), documentation outlining publicly owned land and community-based maps are the main sources of data.
The monitoring of the indicator can be repeated at regular intervals of 3-5 years, allowing for three reporting points until the year 2030. However, annual updates to the existing database will be done and hence data releases based on annual updates will be available every year. Monitoring in 3-5-year intervals will allow cities to determine whether the shares of open public space in the built-up areas of cities are increasing significantly over time, as well as deriving the share of the global urban population living in cities where the open public space is below the acceptable minimum.
Baseline data on SDG 11.7.1 available for 2020
Ministries in charge of urban development, national mapping agencies, national statistical offices
UN-Habitat is the lead agency on the global reporting for this indicator and as such, has since 2016 coordinated the efforts of various partners, on methodological developments and piloting of data collection. Key among these partners have included National Statistical Offices, New York University, ESRI, FAO, UNGGIM, UCLG, Local government departments, the European Commission, UN regional commissions, KTH University-Sweden, Urban Observatories, etc. Working in partnership with these partners, UN-Habitat has undertaken trainings and capacity development activities in cities, countries and regions, which have contributed to enhanced data collection and setting up of systems to monitor and report on the indicator.
The currently available data covers cities and urban areas of different sizes but is not classified by typology of open public space i.e. green, blue and artificial surfaces. A methodology for identifying and classifying green space (shrublands and forest) is being developed and piloted at this time. However, methodology is needed for blue (freshwater or marine) spaces. Other facets of biodiversity are missing, including measures of taxonomic and functional measures of diversity. Protected status should also be added (e.g. protected urban park).
All qualifying cities/countries are expected to fully report on this indicator more consistently following implementation and full roll out of this methodology. In the early years of this indicator, we had data gaps due to no data being collected at the time, as opposed to missing data. In most of the cases, missing values to-date reflect a non-measurement of the indicator for the city. However, because national statistical agencies will report national figures from a complete coverage of all their cities, some cities may take longer to be measured or monitored. As a result, UN-habitat has worked with partners to develop a concept of applying a National Sample of Cities. With this approach, countries will be able to select a nationally representative sample of cities from their system of cities, and these will be used for global monitoring and reporting purposes for the period of the SDGs. The fully developed methodology on this concept has been rolled out and countries that are unable to cover the full spectrum of their cities are already applying this approach. See:
https://unhabitat.org/sites/default/files/2020/06/national_sample_of_cities_english.pdf
Scale of application: Global, Regional, National
Scale of data disaggregation/aggregation:
Global/ regional scale indicator can be disaggregated to national level:
National data is collated to form global indicator:
Additional information: The indicator is applicable from city to national and regional/global levels. Measurement is done at the city level (for all cities and/or using a sample of representative cities) from where data can be aggregated to national, regional and global levels.
Global SDG 11.7.1 methodology is applicable to national and local city levels (see https://unstats.un.org/sdgs/metadata/files/Metadata-11-07-01.pdf).
Since countries have the responsibility to produce data on the indicator, the underlying data is available to them through existing national and local data sharing mechanisms. Data produced through the efforts of international organizations such as UN-Habitat is openly available to countries for use.
Minimal to no differences are likely to emerge for this indicator since measurement is done at the city level, with data aggregated to national, regional then global levels. Data produced by international organizations is to be shared with countries for validation, and nationally produced data will be treated as the most authoritative data. The only likely source of variations may be on the application of the globally harmonized approach to defining cities and urban areas, where countries may choose to use their national definitions as opposed to the harmonized approach. Data for this indicator should thus be accompanied by an explanation on the definition of city/urban area used in the computations.
6d.1 Description of the methodology
Data produced at the city/urban level within each country is aggregated to produce a national value based on the national sample of cities approach developed by UN-Habitat, through which a weighting scheme is developed for each city as a factor of its national representativeness (See: https://unhabitat.org/sites/default/files/2020/06/national_sample_of_cities_english.pdf). The national aggregates from different countries are then used to produce regional and global estimates.
Anticipating the challenge of limited data availability from countries in the earlier years of the indicator, the global sample of cities developed jointly by UN-Habitat, New York University and the Lincoln Institute of Land Policy presents a consistent approach to producing regional and global aggregates. The global sample of cities includes a list of cities which are representative of all regions and for which data can be produced and used to produce weighted regional and global values on the indicator performance (see https://www.lincolninst.edu/sites/default/files/pubfiles/atlas-of-urban-expansion-2016-volume-1-full.pdf).
6d.2 Additional methodological details
6d.3 Description of the mechanism for collecting data from countries
No
Based on availability of high-resolution population data, population with access to open public spaces should be disaggregated by age, gender and disability.
Wherever possible, it would also be useful to have information disaggregated by:
Indicators for biodiversity used in Goal A are valuable to assessing the contribution of urban green and blue spaces to urban biodiversity targets. Complementary indicators for estimating the integrity, connectivity and resilience of ecosystems are relevant and could be applied to urban ecosystems. Also relevant are indicators for Goal B, such as those to be used for ecosystem services and other contributions of nature to human well-being.
UN-Habitat
Robert Ndugwa: robert.ndugwa@un.org
Axon Johnson Foundation, Public Spaces and Place making, Future of Placeshttp://futureofplaces.com
UN-Habitat (2013) Streets as Public Spaces and Drivers of Urban Prosperity, Nairobi
UN-Habitat (2014) Methodology for Measuring Street Connectivity Index
UN-Habitat (2015) Spatial Capital of Saudi Arabian Cities, Street Connectivity as part of City Prosperity Initiative
UN-Habitat (2015) Global Public Space Toolkit from Global Principles to Local Policies and Practice
UN-Habitat (2018). SDG Indicator 11.7.1 Training Module: Public Space. United Nations Human Settlement Programme (UN-Habitat), Nairobi. Available athttps://unhabitat.org/sites/default/files/2020/07/...
Kaw, Jon Kher, Hyunji Lee, and Sameh Wahba, editors. 2020. The Hidden Wealth of Cities: Creating, Financing, and Managing Public Spaces. Washington, DC: World Bank. doi:10.1596/978-1-4648-1449-5. License: Creative Commons Attribution CC BY 3.0 IGO
SDG 11.7.1 metadata, 2020. https://unstats.un.org/sdgs/metadata/files/Metadat...
Average share of the built-up area of cities that is green/blue space for public use for all.
2024-03-28 12:00:00 UTC
N/A
Headline indicator for Target 12: Significantly increase the area and quality, and connectivity of, access to, and benefits from green and blue spaces in urban and densely populated areas sustainably, by mainstreaming the conservation and sustainable use of biodiversity, and ensure biodiversity-inclusive urban planning, enhancing native biodiversity, ecological connectivity and integrity, and improving human health and well-being and connection to nature, and contributing to inclusive and sustainable urbanization and to the provision of ecosystem functions and services
The value of public spaces is often overlooked or underestimated by policy makers, leaders, citizens and urban developers. There are several reasons for this, such as lack of appreciation of the value of these spaces to the functioning of urban systems and quality of life, prevailing urban planning processes, the lack of resources, or understanding or capacity to use public space as a complete, multi-functional urban system. Often the lack of appropriate enabling frameworks, weak political will and the absence of the means of public engagement compound the situation.
The Sustainable Development Goals (SDGs) have for the first time provided a platform where public spaces can be globally monitored. Indicator 11.7.1 measures the share of land allocated to public spaces and the total population with access of these spaces by age, gender and disability. The share of land that a city allocates to streets and open public spaces is not only critical to its productivity, but also contributes significantly to the social dimensions and health of its population. The size, distribution and quality of a city’s overall public space act as a good indicator of shared prosperity. A well developed and properly designed network of streets increases connectivity, promotes walking and social interactions but also income, gender, race or disability status and one that promotes multiple activities not only encourages their use, but also contributes to the urban character and quality of urban life.
Cities that improve and sustain the use of public space, including streets, enhance community cohesion, civic identity, and quality of life. A prosperous city develops policies and actions for sustainable use of, and equitable access to public space. In many cities however, there has been neglect of public space - both in quantity and quality, which has been further exacerbated by uncontrolled rapid urbanization which has created disorderly settlement patterns with alarmingly low shares of public space, as well as a dramatic reduction of public spaces. There is a need to expand the ratio of land allocated to public spaces and improve their qualities to make cities and urban areas more efficient, liveable, prosperous, and sustainable. Reclaiming urban spaces for people encourages development of other street activities that bring life to a city. Equally, a well distributed and hierarchical system of open public spaces that can be accessed by all regardless of is part of how we can humanize our cities and make our streets and public areas more communal.
The following is the definition of the SDG 11.7.1 indicator and consequently there could be small variations in the definition for the’ Average share of the built-up area of cities that is green/blue space for public use for all’.
Indicator 11.7.1 has several interesting concepts that required global consultations and consensus. These include; built-up area, cities, open spaces for public use, etc. As a custodian agency, UN-Habitat has worked on these concepts along with several other partners.
City: A range of accepted definitions of the “city” exist, from those based on population data and extent of the built-up area to those that are based solely on administrative boundaries. These definitions vary within and between nations, complicating the task of international reporting for the SDGs. Definitions of cities, metropolitan areas and urban agglomerations also vary depending on legal, administrative, political, economic or cultural criteria in the respective countries and regions. Since 2016UN-Habitat and partners organized global consultations and discussions to narrow down the set of meaningful definitions that would be helpful for the global monitoring and reporting process. Following consultations with 86 member states, the United Nations Statistical Commission, in its 51st Session (March 2020) endorsed the Degree of Urbanisation (DEGURBA) as a workable method to delineate cities, urban and rural areas for international statistical comparisons. 1 This definition combines population size and population density thresholds to classify the entire territory of a country along the urban-rural continuum, and captures the full extent of a city, including the dense neighbourhoods beyond the boundary of the central municipality. DEGURBA is applied in a two-step process: First, 1 km2 grid cells are classified based on population density, contiguity and population size. Subsequently, local units are classified as urban or rural based on the type of grid cells in which majority of their population resides. For the computation of indicator 11.7.1, countries are encouraged to adopt the degree of urbanisation to define the analysis area (city or urban area).
Built-up area of cities: Conventionally, built up areas of cities are areas occupied by buildings and other artificial surfaces. For indicator 11.7.1, built up areas, as the indicator denominator has the same meaning as “city” (see definition of city above).
Public space: The Global Public Space toolkit defines Public Space as all places that are publicly owned or of public use, accessible and enjoyable by all, for free and without a profit motive, categorized into streets, open spaces and public facilities. Public space in general is defined as the meeting or gathering places that exist outside the home and workplace that are generally accessible by members of the public, and which foster resident interaction and opportunities for contact and proximity. This definition implies a higher level of community interaction and places a focus on public involvement rather than public ownership or stewardship. For the purpose of monitoring and reporting on indicator 11.7.1, public space is defined as all places of public use, accessible by all, and comprises open public space and streets.
Land allocated to streets refers to the total area of the city/urban area that is occupied by all forms of streets (as defined above). This indicator only includes streets available at the time of data collection and excludes proposed networks.
Open public space: is any open piece of land that is undeveloped or land with no buildings (or other built structures) that is accessible to the public without charge, and provides recreational areas for residents and helps to enhance the beauty and environmental quality of neighbourhoods. UN-Habitat recognizes that different cities have different types of open public spaces, which vary in both size and typology. Based on the size of both soft and hard surfaces, open public spaces are broadly classified into six categories: national/metropolitan open spaces, regional/larger city open spaces, district/city open spaces, neighbourhood open spaces, local/pocket open spaces and linear open spaces. Classification of open public space by typology is described by the function of the space and can include: green public areas, riparian reserves, parks and urban forests, playground, square, plazas, waterfronts, sports field, community gardens, parklets and pocket parks.
Potential open public space: the identification of open public spaces across cities can be implemented through, among other sources, analysis of high to very high resolution satellite imagery, from base-maps provided by different organizations (eg OpenStreetMap, Esri, etc) or as crowd-sourced and volunteered data. While these sources provide important baseline data for indicator 11.7.1, some of the identifiable spaces may not meet the criteria of being “accessible to the public without charge”. The term “potential open public space” is thus used to refer to open public spaces which are extracted from the above-mentioned sources (based on their spatial character), but which are not yet validated to confirm if they are accessible to the public without charge.
Streets are defined thoroughfares that are based inside urban areas, towns, cities and neighbourhoods most commonly lined with houses or buildings used by pedestrians or vehicles in order to go from one place to another in the city, interact and to earn a livelihood. The main purpose of a street is facilitating movement and enabling public interaction. The following elements are considered as streets space: Streets, avenues and boulevards, pavements, passages and galleries, Bicycle paths, sidewalks, traffic island, tramways and roundabouts. Elements excluded from street space include plots (either built-up), open space blocks, railways, paved space within parking lots and airports and individual industries.
For more details and illustrations on the definition of the different types of open spaces considered for indicator 11.7.1 see SDG 11.7.1 step by step training module (https://unhabitat.org/sites/default/files/2020/07/...).
The following is the definition of the SDG 11.7.1 indicator and consequently there could be small variations in the definition for the’ Average share of the built-up area of cities that is green/blue space for public use for all’.
The method to estimate the area of public space has been globally piloted in over 600 cities and this follows a series of methodological developments that go back to the last 7 years. The finalized methodology is a three-step process:
a) Spatial analysis to delimit the city/urban area which will act as the geographical scope for the spatial analysis and indicator computation;
b) Spatial analysis to identify potential open public spaces, expert consultations and/or field work to validate data and assess the quality of spaces and calculation of the total area occupied by the verified open public spaces;
c) Estimation of the total area allocated to streets
d) Estimation of share of population with access to open public spaces within 400 meters walking distance out of the total population in the city/ urban area and disaggregation of the population with access by sex, age and persons with disabilities
a.Spatial analysis to delimit the city/urban area
Following consultations with 86 member states, the United Nations Statistical Commission in its 51st Session (March 2020) endorsed the Degree of Urbanisation (DEGURBA) as a workable method to delineate cities, urban and rural areas for international statistical comparisons. Countries are thus encouraged to adopt this approach, which will help them produce data that is comparable across urban areas within their territories, as well as with urban areas and cities in other countries. More details on DEGURBA and its application are available here:https://unstats.un.org/unsd/statcom/51st-session/documents/BG-Item3j-Recommendation-E.pdf
b.Spatial analysis to identify potential open public spaces, ground verification and estimating their total area
This step involves mapping of potential open public spaces within the urban boundaries defined in step one above and estimation of their area. Identification of potential open public spaces is based on the spatial character of each space and is also informed by existing country/ city land use maps and open space inventories. To compute this component of the indicator, follow these steps:
c) Computation of land allocated to streets (LAS)
Where street data by width and length fields is available/specified, the following methodology could be used:
Where detailed data on streets is not available, there is need to map out each street line (or the entire area covered by the streets), measure its length and width, which are required for the area computation. For small urban areas, it is possible to manually digitize all streets, but this is more complex for large urban areas and cities. For these large urban areas, an alternative technique for computing land allocated to the streets is one that adopts sampling principles.An approach that uses the Halton sampling sequence is recommended, specifically because the sequence generates equidistant points, increasing the degree of sample representativeness. To compute LAS using this method, follow the following steps:
Open source datasets such as OpenStreetMap (OSM) have a good amount of street data on many cities, which is increasingly being updated and extended to cover new areas. This data can also be used as a starting point to understand the pattern of streets in a city. Upon verification of the OSM street categorization for each city, sampling can be used to estimate the average width of each street category, which can in turn help compute the share of land allocated to streets.
The final computation of the indicator is done using the formula:
d) Estimation of share of population with access to open public spaces and disaggregation by population group
To help define an “acceptable walking distance” to open public spaces”, UN-Habitat organized a series of consultations with national statistical officers, civil society and community groups, experts in diverse fields, representatives from academia, think tanks, other UN-agencies, and regional commissions among other partners. These consultations, which were held between 2016 and 2018 concluded that a walking distance of 400 meters - equivalent to 5 minutes’ walk was a practical and realistic threshold. Based on this, a street network-based service area is drawn around each public open space, using the 400 meters access threshold. All populations living within the service areas are in turn identified as having access to the public open spaces, based on the following key assumptions:
The estimation of total population with access to open public spaces is achieved using the two broad steps described below:
The following is the definition of the SDG 11.7.1 indicator and consequently there could be small variations in the definition for the’ Average share of the built-up area of cities that is green/blue space for public use for all’.
The method to estimate the area of public space has been globally piloted in over 600 cities and this follows a series of methodological developments that go back to the last 7 years. The finalized methodology is a three-step process: a) Spatial analysis to delimit the city/urban area which will act as the geographical scope for the spatial analysis and indicator computation; b) Spatial analysis to identify potential open public spaces, expert consultations and/or field work to validate data and assess the quality of spaces, and calculation of the total area occupied by the verified open public spaces; c) Estimation of the total area allocated to streets; d) Estimation of share of population with access to open public spaces within 400 meters walking distance out of the total population in the city/ urban area and disaggregation of the population with access by sex, age and persons with disabilities.
Methodology for SDG 11.7.1 is available and has been piloted in over 1000 cities and 123 countries. Data on the indicator is published by UN-Habitat (https://data.unhabitat.org)
City land use plans, high to very high resolution satellite imagery (open sources), documentation outlining publicly owned land and community-based maps are the main sources of data.
The monitoring of the indicator can be repeated at regular intervals of 3-5 years, allowing for three reporting points until the year 2030. However, annual updates to the existing database will be done and hence data releases based on annual updates will be available every year. Monitoring in 3-5-year intervals will allow cities to determine whether the shares of open public space in the built-up areas of cities are increasing significantly over time, as well as deriving the share of the global urban population living in cities where the open public space is below the acceptable minimum.
Baseline data on SDG 11.7.1 available for 2020
Ministries in charge of urban development, national mapping agencies, national statistical offices
UN-Habitat is the lead agency on the global reporting for this indicator and as such, has since 2016 coordinated the efforts of various partners, on methodological developments and piloting of data collection. Key among these partners have included National Statistical Offices, New York University, ESRI, FAO, UNGGIM, UCLG, Local government departments, the European Commission, UN regional commissions, KTH University-Sweden, Urban Observatories, etc. Working in partnership with these partners, UN-Habitat has undertaken trainings and capacity development activities in cities, countries and regions, which have contributed to enhanced data collection and setting up of systems to monitor and report on the indicator.
The currently available data covers cities and urban areas of different sizes but is not classified by typology of open public space i.e. green, blue and artificial surfaces. A methodology for identifying and classifying green space (shrublands and forest) is being developed and piloted at this time. However, methodology is needed for blue (freshwater or marine) spaces. Other facets of biodiversity are missing, including measures of taxonomic and functional measures of diversity. Protected status should also be added (e.g. protected urban park).
All qualifying cities/countries are expected to fully report on this indicator more consistently following implementation and full roll out of this methodology. In the early years of this indicator, we had data gaps due to no data being collected at the time, as opposed to missing data. In most of the cases, missing values to-date reflect a non-measurement of the indicator for the city. However, because national statistical agencies will report national figures from a complete coverage of all their cities, some cities may take longer to be measured or monitored. As a result, UN-habitat has worked with partners to develop a concept of applying a National Sample of Cities. With this approach, countries will be able to select a nationally representative sample of cities from their system of cities, and these will be used for global monitoring and reporting purposes for the period of the SDGs. The fully developed methodology on this concept has been rolled out and countries that are unable to cover the full spectrum of their cities are already applying this approach. See:
https://unhabitat.org/sites/default/files/2020/06/national_sample_of_cities_english.pdf
Scale of application: Global, Regional, National
Scale of data disaggregation/aggregation:
Global/ regional scale indicator can be disaggregated to national level:
National data is collated to form global indicator:
Additional information: The indicator is applicable from city to national and regional/global levels. Measurement is done at the city level (for all cities and/or using a sample of representative cities) from where data can be aggregated to national, regional and global levels.
Global SDG 11.7.1 methodology is applicable to national and local city levels (see https://unstats.un.org/sdgs/metadata/files/Metadata-11-07-01.pdf).
Since countries have the responsibility to produce data on the indicator, the underlying data is available to them through existing national and local data sharing mechanisms. Data produced through the efforts of international organizations such as UN-Habitat is openly available to countries for use.
Minimal to no differences are likely to emerge for this indicator since measurement is done at the city level, with data aggregated to national, regional then global levels. Data produced by international organizations is to be shared with countries for validation, and nationally produced data will be treated as the most authoritative data. The only likely source of variations may be on the application of the globally harmonized approach to defining cities and urban areas, where countries may choose to use their national definitions as opposed to the harmonized approach. Data for this indicator should thus be accompanied by an explanation on the definition of city/urban area used in the computations.
6d.1 Description of the methodology
Data produced at the city/urban level within each country is aggregated to produce a national value based on the national sample of cities approach developed by UN-Habitat, through which a weighting scheme is developed for each city as a factor of its national representativeness (See: https://unhabitat.org/sites/default/files/2020/06/national_sample_of_cities_english.pdf). The national aggregates from different countries are then used to produce regional and global estimates.
Anticipating the challenge of limited data availability from countries in the earlier years of the indicator, the global sample of cities developed jointly by UN-Habitat, New York University and the Lincoln Institute of Land Policy presents a consistent approach to producing regional and global aggregates. The global sample of cities includes a list of cities which are representative of all regions and for which data can be produced and used to produce weighted regional and global values on the indicator performance (see https://www.lincolninst.edu/sites/default/files/pubfiles/atlas-of-urban-expansion-2016-volume-1-full.pdf).
6d.2 Additional methodological details
6d.3 Description of the mechanism for collecting data from countries
No
Based on availability of high-resolution population data, population with access to open public spaces should be disaggregated by age, gender and disability.
Wherever possible, it would also be useful to have information disaggregated by:
Indicators for biodiversity used in Goal A are valuable to assessing the contribution of urban green and blue spaces to urban biodiversity targets. Complementary indicators for estimating the integrity, connectivity and resilience of ecosystems are relevant and could be applied to urban ecosystems. Also relevant are indicators for Goal B, such as those to be used for ecosystem services and other contributions of nature to human well-being.
UN-Habitat
Robert Ndugwa: robert.ndugwa@un.org
Axon Johnson Foundation, Public Spaces and Place making, Future of Placeshttp://futureofplaces.com
UN-Habitat (2013) Streets as Public Spaces and Drivers of Urban Prosperity, Nairobi
UN-Habitat (2014) Methodology for Measuring Street Connectivity Index
UN-Habitat (2015) Spatial Capital of Saudi Arabian Cities, Street Connectivity as part of City Prosperity Initiative
UN-Habitat (2015) Global Public Space Toolkit from Global Principles to Local Policies and Practice
UN-Habitat (2018). SDG Indicator 11.7.1 Training Module: Public Space. United Nations Human Settlement Programme (UN-Habitat), Nairobi. Available athttps://unhabitat.org/sites/default/files/2020/07/...
Kaw, Jon Kher, Hyunji Lee, and Sameh Wahba, editors. 2020. The Hidden Wealth of Cities: Creating, Financing, and Managing Public Spaces. Washington, DC: World Bank. doi:10.1596/978-1-4648-1449-5. License: Creative Commons Attribution CC BY 3.0 IGO
SDG 11.7.1 metadata, 2020. https://unstats.un.org/sdgs/metadata/files/Metadat...
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