Urban Analytics Data Infrastructure: Critical SDI for Measuring and Monitoring The National and Local Progress of SDGs

Rajabifard, Abbas; Sabri, Soheil; Chen, Yiqun; Agunbiade, Muyiwa; Kalantari, Mohsen

doi:10.1201/9780429290626-15

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…The 2030 Agenda and the Sustainable Development Goals (SDGs) constitute an existing apparatus for measuring and observing countries based on a specific system that runs into operational problems: current statistical indicators of Sustainable Development (SD) are typically nonspatial and assume a spatial homogeneity related to the scale adopted [1,2].…”

Section: Introductionmentioning

confidence: 99%

Maps and SDG11: A Complex but Possible Relationship

Lami,

Abastante,

Mecca

et al. 2024

IJSDP

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Is it possible to visualize in an immediate and powerful way the indicators that measure the sustainability of cities? While the final answer is rather positive, the process of getting there is quite complex and dense with difficulties as illustrated in this paper. The 2030 Agenda and the Sustainable Development Goals (SDGs) constitute a fundamental apparatus for measuring and observing Countries based on specific analysis systems, but without an integration with spatial analysis tools as Geographic Information Systems (GIS). Although the potential of the latter in capturing efforts toward sustainable development is recognized by the United Nations (UN), their use in analyzing systems is limited considering data operability issues in terms of spatial and temporal accuracy and proprietary diffusion modes. This paper aims at bridging the gap between urban sustainability analysis and GIS tools, testing the integration of SDG11 indicators and GIS within the Italian context. The research here investigates the applicability and potential of such integration by considering the target 11.1 and 11.3 by focusing on a case study, the City of Turin (Piedmont, Italy). In operational terms, this paper implements an open access WebGIS database providing new spatialized sub-indicators based on the use of open data at the local urban scale.

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Section: Introductionmentioning

confidence: 99%

Maps and SDG11: A Complex but Possible Relationship

Lami,

Abastante,

Mecca

et al. 2024

IJSDP

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“…After MDGs, another binding target system was set by the United Nations to fully solve the three dimensions of development, namely social, economic and environmental issues, so as to promote mankind to the path of sustainable development [2]. Subsequently, the global indicator framework formulated by the United Nations Inter-agency Expert Group on SDG Indicators (IAEG-SDGs) provides tools for the world to monitor and evaluate the progress of SDGs [3]. Although the framework is designed for the global country level, international organizations, research institutions, and governments have been actively working to localize the global Indicator Framework so that it can be applied to evaluation at the subnational level.…”

Section: Introductionmentioning

confidence: 99%

Systematic Evaluation of Regional Human Sustainable Development Based on Euclidean Distance: A Case Study of Shandong Province, China

2023

Advances in Social Science, Education and Humanities Research

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The evaluation theory system of human sustainable development is constructed based on Euclidean distance. The data of Shandong Province from 2012 to 2021 are selected for example verification. The range of sustainable development index (H) is [0.60,0.71], showing a gentle upward trend and a state of moderate and sustainable development. The evaluation results basically reflect the situation of human sustainable development in Shandong province, indicating that it is feasible to construct an evaluation method of human sustainable development based on Euclidean distance. The innovation and advantages of this method are as follows: first, it has a reliable methodology; Second, it avoids the influence of human factors; Third, the results are easy to understand and compare. The main reasons for the low level of sustainable human development in Shandong Province are Engel coefficient, labor force population ratio, unemployment rate and so on.

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“…While this will be explained in the next couple of paragraphs, it is important to mention the role of remote sensing data and analytics in mitigation measures. For instance, this special issue provides an example for exploring the role of urban green spaces and their spatial configuration and extent in mitigating the urban heat island effects [11]. Comparing the land surface temperature and urban green space patterns in Adis Ababa, Ethiopia, Terfa et al (2020) [11] demonstrated the significant role of this methodology to enable urban planners and urban designers to consider the green spaces' spatial configuration to better address the urban heat island effects of urban development.…”

mentioning

confidence: 99%

“…In this special issue, two research studies communicated the role of 3D data and analytics to improve the previous urban analytics. He et al (2021) [12], demonstrated how using 3D urban structure parameters can improve our understanding of seasonal urban land surface temperature. Sanlang et al (2021) [13] introduced an innovative methodology for urban form and functional zoning using light detection and ranging (LiDAR) point clouds and very high-resolution (VHR) images to extract the 3D urban structure parameters and combined them with the spatial patterns of land covers and 2D urban land cover information.…”

mentioning

confidence: 99%