GPP - SDG11.7

Description

Public space has an essential role to play in making cities liveable and is interlinked with various other development issues such as environment and climate change, economic development, urban poverty, security, community cohesion, social interaction, civic identity, entertainment, gender and social equality and quality of life. Even if public space can be difficult to define (e.g., different features/elements, different geographical and cultural contexts), one key element towards the sustainability of cities is when there is a good balance between private and public spaces. Public spaces can be regarded as symbols of equality because they are usually accessible, safe, open, inclusive (e.g., sex, age and disability) and available to everyone . However, according to United Nations (UN)-Habitat, public spaces in cities have gradually diminished in recent years. Such privatisation of public space increases exclusion and marginalisation, underlining the need for policies and strategies that ensure appropriate planning, design and management of public spaces.

In response to this issue, we present an innovative, scalable and flexible approach to monitor accessibility to urban green spaces at various scales (e.g., national, regional, global) using various components of the Global Earth Observation System of Systems (GEOSS) platform to leverage EO resources for informing SDG 11.7. The proposed approach follows the Data-Information-Knowledge pattern using the AccessMod model (https://www.accessmod.org) and various data sources to generate the indicator. It also implements additional components for model execution and orchestration, knowledge management, and visualization.

The proposed approach has been successfully applied at global, regional and national scales and advances the vision of (1) establishing data analytics platforms that can potentially support countries to discover, access and use the necessary datasets to assess land degradation; and (2) developing new capacities to effectively and efficiently use EO-based resources.

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