SMEXI – a Data-Based Approach for the Small-Scale Investigation of Sustainability Goals in Cities

Memmel, Martin and Yeerasam, Akhil (2024) SMEXI – a Data-Based Approach for the Small-Scale Investigation of Sustainability Goals in Cities. KEEP ON PLANNING FOR THE REAL WORLD. Climate Change calls for Nature-based Solutions and Smart Technologies. Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society. pp. 517-525. ISSN 2521-3938

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Abstract

To address the wide range of global challenges and a more sustainable society, the UN Sustainable Development Goals (SDGs) were developed. They are a set of 17 global, interconnected goals and provide a comprehensive framework for governments, organizations, and communities to work towards common objectives. When aiming at a data-bsed approach to promote a sustainable development, it is necessary to identify for each SDG associated indicators and data sets that provide insights into the status quo or past developments. Existing approaches that aim to provide such data-based information for cities are often limited regarding the spatial resolution of the cities under consideration: they only allow the exploration and analysis of SDGs on a macro level, usually the complete city. However, cities are not homogeneous – different quarters vary a lot with regard to their population, usage, building structure, etc. Even inside of quarters, social disparities can typically be determined. Thus, to accurately identify existing problems, and to improve living conditions accordingly, an analysis at macro level is not enough. The SMEXI (Small Scale Exploration of SDG Indicators) tool presented in this work tries to overcome this limit and enables users to track the progress of SDGs in cities at a fine-grained level.

Item Type:	Article
Uncontrolled Keywords:	SDG, planning, smart city, sustainability, development
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA76 Computer software
Depositing User:	REAL CORP Administrator
Date Deposited:	29 Apr 2024 08:41
Last Modified:	10 May 2024 09:13
URI:	http://repository.corp.at/id/eprint/1117

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