Sustainable Development Goal 11 Monitoring

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Sustainable Development Goal 11 Monitoring Current Status and Perspectives on Spatial Indicators Donatien Beguy, Ph.D. Robert Ndugwa, Ph.D. Global Urban Observatory, UN-Habitat Session 08 - EO Towards Sustainable Urban Development in Africa June 14, 2017

Urban areas hold the future of our planet

Goal 11 Make cities and human settlements inclusive, safe, resilient and sustainable 10 Targets 11 Indicators 11.1 Housing and Slums 11.2 Sustainable Transport 11.3 Participatory Planning 11.4 Cultural Heritage 11.5 Disaster Reduction 11.6 Air Quality and Waste Management 11.7 Public spaces 11.a Rural-urban and regional planning 11.b Mitigation of Climate Change, Resilience 11.c LDCs support – buildings Output 4 Indicators Process UN-Habitat designated custodian Agency for 10 indicators:

Urban related SDG indicators Out of 234 Global SDG indicators ~ 56 % require monitoring and reporting at urban or city levels. Out of all the urban/city related SDG indicators: only 45% are totally/partially covered by routine survey programmes (MICS, DHS, etc.) The rest require spatial data. 11 indicators are monitoring land or land use directly or indirectly.

Need for Spatial data in the Monitoring of SDG11 APPROVED INDICATORS Need for Spatial data in the Monitoring of SDG11 Target 1 Housing & slums 11.1 Proportion of urban population living in slums or informal settlements and inadequate housing Spatial data Target 2 Transport 11.2 Proportion of the population that has convenient access to public transport (within 0.5 km ….) Target 3 Planning 11.3 Ratio of land consumption rate to population growth rate – Efficient land use Percentage of cities with a direct participation structure of civil society in urban planning and management which operate regularly and democratically

Need for Spatial data in the Monitoring of SDG11 APPROVED INDICATORS Need for Spatial data in the Monitoring of SDG11 Target 6 Environment 11.6.1 Percentage of (urban) solid waste regularly collected and with adequate final discharge with regards to the total waste generated by the city Target 7 Public space 11.7.1 The average share of the (total) built-up area of cities that is open space in public use for all Spatial data

Some challenges ahead HS indicators monitoring and reporting presents major challenges that other SDGs do not necessarily confront Use of the ‘city’ as the unit of analysis But what is a “city”?  Challenge related to use of Spatial Indicators Geospatial data Adequate technology Management systems How to aggregate this data at national level? How to create a regional balance? How to know where are the challenges (small, intermediate cities, coastal, boarder)? Which cities are having problems of data collection and why? Spatial disaggregated data provides relevant information for policy-makers… but how to decide on: Local-level allocation of resources Monitoring of equitable outcomes

Support countries to create a consistent set of cities for national level reporting that is representative of their territory, geography and history report on national (urban) progress in a systematic manner over time

Spatial Indicators 11.2.1: Proportion of population that has convenient access to public transport, by sex, age and persons with disabilities (Tier II) Main features: Public transport stops City population Built-up area The method to estimate the proportion of the population that has convenient access to public transport is based on four steps: Spatial analysis to delimit the built-up area of the urban agglomeration Inventory of the public transport stops in the city or the service area; Estimation of urban area with access to public transport; Estimation of the proportion of the population with convenient access out of the total population of the city. =𝟏𝟎𝟎𝒙 𝒑𝒐𝒑𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝒘𝒊𝒕𝒉 𝒄𝒐𝒏𝒗𝒆𝒏𝒊𝒆𝒏𝒕 𝒂𝒄𝒄𝒆𝒔𝒔 𝒕𝒐 𝑷𝒖𝒃𝒍𝒊𝒄 𝒕𝒓𝒂𝒏𝒔𝒑𝒐𝒓𝒕 𝑪𝒊𝒕𝒚 𝑷𝒐𝒑𝒖𝒍𝒂𝒕𝒊𝒐𝒏 % 𝒘𝒊𝒕𝒉 𝒂𝒄𝒄𝒆𝒔𝒔 𝒕𝒐 𝑷𝒖𝒃𝒍𝒊𝒄 𝒕𝒓𝒂𝒏𝒔𝒑𝒐𝒓𝒕

Spatial Indicators 11.3.1: Ratio of land consumption rate to population growth rate (Tier II) Main features: City population Built-up area The method to estimate land use efficiency is based on two stages:   Where Popt Total population within the city in the past/initial year Popt+n Total population within the city in the current/final year y The number of years between the two measurement periods 2. Estimate the population growth rate   Where Urbt Total areal extent of the urban agglomeration in km2 for past/initial year Urbt+n Total areal extent of the urban agglomeration in km2 for current year y The number of years between the two measurement periods Ratio of land consumption rate to population growth rate (LCRPGR) is estimated as follows:  

Spatial Indicators 11.7.1: Average share of the built-up area of cities that is open space for public use for all, by sex, age and persons with disabilities (Tier III) Main features: Built-up area Open public space Street space The method to estimate area of public space is based on three stages: Spatial analysis to delimit the built-up area of the urban agglomeration. Computation of total area of open public space. Estimation of land allocated to streets.  

Overall coordination of indicators and organization of several EGMs Goal 11 UN-Habitat work already done Overall coordination of indicators and organization of several EGMs Participation in various SDGs related commissions/teams 1st Technical meeting in February 2017 1st Spatial indicators technical meeting in April 2017 1 report on metadata SDGs indicators IA-EG 1 proposal connecting SDG and CPI (technical material + CPI revision) 2 contributions to the SG SDG Report 2016/2017

Partnerships for SDGs For the goals to be reached, everyone needs to do their part Governments Private sector Civil society People like you

Donatien.Beguy@unhabitat.org guo@unhabitat.org