Application of Open Government Data to Sustainable City Indicators: A Megacity Case Study

Abstract

The access to open government data has been a relevant topic for societies around the world, especially over the last ten years. This paper aims to analyze the indicators of the São Paulo City Observatory (ObservaSampa), confronting them with the ISO 3712x series (sustainable, smart, and resilient cities) standards, to assess if the former meet both open data principles and the ISO prescriptions. Bibliometric analysis, comparative analysis, cluster analysis, and principal component analysis (PCA) were the methods used in this research. From the comparative analysis, 18 indicators were identified as conforming and 41 as partially conforming. Thus, 20% of the ObservaSampa indicators adhere to the ISO standards. The PCA applied to the conforming indicators shows component 1 is related to socioeconomic dimensions, while component 2 refers to social policy, with both appraisals confirmed by cluster analysis. Measuring and presenting city data in compliance with indicator standards is relevant because they open the possibility of comparing different cities. However, there is still a lack of consensus on a common set of indicators to be accommodated within the current ISO standards system.

Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities

“…Spatial open datasets differ in quality and quantity and are used for various types of scientific and practical research in order to be exploited for various purposes, such as, for example, online applications [45], 3D city modelling [46], for collaborative geological mapping [47], for investigating historical settlements and landscape analysis [48], to study the geographic educational paths of individuals or social groups [49], for building citizen science [50], analysis of air pollution [51], vehicular traffic [52], public green spaces [53], etc. Special attention is given to the comparative analysis of open data among cities in compliance with indicator standards in order to set up a common set of indicators [54], such as economy, education, energy, environment and climate change, finance, governance, health, housing, population and social conditions, recreation, safety, solid waste, sport and culture, telecommunications, transportation, urban/local agriculture and food security, urban planning, wastewater and water. The research [55] presents an evaluation model through citizens' sustainable use of open data, with 12 indicators in four dimensions: data, platform, outcome and citizen.…”

A New Dimension of Health Sustainability Model after Pandemic Crisis Using Structural Equation Model

“…[21]. With the rise of the smart city concept, "ISO37122: Indicators for smart cities" and "ISO37123: Indicators for resilient cities" were introduced in model building as the standards in relation to the concept of smart city and urban renewal, mentioned in "Application of Open Government Data to Sustainable City Indicators: A Megacity Case Study [22]". At the time, SMM was frequently used as a sustainability assessment model with multi-criteria discission making (MCDM) when evaluating the level of sustainable development [1,[23][24][25][26][27][28][29][30][31][32].…”

“…ISO37120 IDS [20] Analyze the indicators of the São Paulo City Observatory (Observa Sampa), confronting them with the ISO 3712x series (sustainable, smart, and resilient cities) standards ISO37120 ISO37122 ISO37123 IDS [22] Applied indicators at municipal-level regulatory plans submitted to SEA in Chile. ISO37120 IDS [21] (1) The three ecological models are the links between health, environment and economy (2) All models link the social, environmental and economic dimensions of a healthy and sustainable community.…”