Progress by Research to Achieve the Sustainable Development Goals in the EU: A Systematic Literature Review

Sustainability, Journal Year: 2023, Volume and Issue: 15(9), P. 7055 - 7055

Published: April 23, 2023

Scientific research has been acknowledged to play a pivotal role in achieving the United Nations’ 2030 Agenda. Vice-versa, since its adoption, Agenda reinvigorating academic production on sustainable development. This study provides systematic literature review of most used and newly developed approaches by support achievement SDGs EU. The results are presented descriptive, bibliometric, content analysis. descriptive analysis highlights rising interest scholars operationalizing Agenda, with growing at urban level. A text-mining tool was employed scan investigated selected papers. Major is devoted environmental concerns (especially linked SDG 13, 7, 6, 12, 15), while social issues (e.g., 4, 5, 10) still deserve more research. bibliometric unveiled poor intra-cluster connections, highlighting need for transdisciplinary recurrent fields EU governance, circular economy, ecosystem services, localization, decision making. We advise future studies focus gaps highlighted adopt system perspective, boosting Policy Coherence across governance levels scales implementation looking trade-offs assessing context-specific priorities.

Language: Английский

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Global Mapping of Three-Dimensional (3D) Urban Structures Reveals Escalating Utilization in the Vertical Dimension and Pronounced Building Space Inequality

Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: March 1, 2024

Three-dimensional (3D) urban structures play a critical role in informing climate mitigation strategies aimed at the built environment and facilitating sustainable development. Regrettably, there exists significant gap detailed consistent data on 3D building space with global coverage due to challenges inherent collection model calibration processes. In this study, we constructed structure dataset (GUS-3D), including volume, height, footprint information, 500 m spatial resolution using extensive satellite observation products numerous reference samples. Our analysis indicated that total volume of buildings worldwide 2015 exceeded 1 × 1012 m3. Over 1985 period, observed slight increase magnitude growth (i.e., it increased from 166.02 km3 during 1985–2000 period 175.08 2000–2015 period), while expansion magnitudes two-dimensional (2D) (22.51 103 km2 vs. 13.29 km2) extent (157 133.8 notably decreased. This trend highlights intensive vertical utilization land. Furthermore, identified heterogeneity provision inequality across cities worldwide. is particularly pronounced many populous Asian cities, which has been overlooked previous studies economic inequality. The GUS-3D shows great potential deepen our understanding creates new horizons for studies.

Language: Английский

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Modeling Low Energy Demand Futures for Buildings: Current State and Research Needs

Annual Review of Environment and Resources, Journal Year: 2023, Volume and Issue: 48(1), P. 761 - 792

Published: Nov. 13, 2023

Buildings are key in supporting human activities and well-being by providing shelter other important services to their users. are, however, also responsible for major energy use greenhouse gas (GHG) emissions during life cycle. Improving the quality of provided buildings while reaching low demand (LED) levels is crucial climate sustainability targets. Building sector models have become essential tools decision support on strategies reduce GHG emissions. Yet current significant limitations ability assess transformations required LED. We review building ranging from subnational global scale identify best practices critical gaps representing toward LED futures. focus three dimensions intervention (socio-behavioral, infrastructural, technological), megatrends (digitalization, sharing economy, circular economy), decent living standards. This recommends model developments needed better decision-making

Language: Английский

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Does ecological network affect the construction land spatial development intensity? -An empirical study based on the main urban area of Jinan, China

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102609 - 102609

Published: April 21, 2024

The ecological network as the cornerstone of urban security protection, understanding interaction between and construction land spatial development intensity (CLSDI), which is crucial for guiding orderly utilization territorial space promoting regional sustainable development. However, information on complex temporal interactions networks CLSDI has not yet been adequately studied. This study takes main area Jinan City an example, explores coupling relationship change rule during 2006–2018 through multiple buffer analysis tools, proposes optimization path under perspective network. results showed that: from 2006 to 2018, there a significant effect elements; within zone 300–3000 m sources nodes, rises with increase distance; while corridor exhibits decreased 500-m zone, 500–3000-m tends increase. Based empirical analysis, proposed three aspects: source, node. 300 control range source designated "specific protection zone", strictly zone; set up differential zoning, activity types are controlled in hierarchical classified manner; CLDSI around nodes order prevent encroachment activities nodes. provides reference value constructing pattern coordinated construction.

Language: Английский

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Exploring urban building space provision and inequality: A three-dimensional perspective on Chinese cities toward sustainable development goals

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 102, P. 105202 - 105202

Published: Jan. 12, 2024

Language: Английский

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Optimising Energy Performance of buildings through Digital Twins and Machine Learning: Lessons learnt and future directions

Published: April 16, 2024

In recent years, the energy efficiency of buildings has received increasing attention due to climate change mitigation goals, and higher costs. This paper explores integration 3D models, IoT sensors, Digital Twins (DT), data-driven modeling, Artificial Intelligence (AI), particularly Machine Learning (ML) algorithms, enhance performance prediction optimisation in existing buildings. By leveraging real-time data from DTs provide a comprehensive digital representation buildings, facilitating intelligent monitoring control for enhanced occupant comfort. presents development application DT an office building Norway, focusing on prediction. Through case study, specific outcomes insights are gathered regarding feasibility benefits this approach, together with its inherent limitations. The results highlight that significant advancements could be achieved through predictive modeling strategies. future, adaptation these technologies requires addressing key challenges advancing methodologies broader implementation. identifying challenges, DTs, AI holds considerable scope optimising sustainability objectives.

Language: Английский

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Study of interior hygrometry profiles for the hygrothermal assessment of social housing envelopes in humid temperate climates

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112031 - 112031

Published: Feb. 1, 2025

Language: Английский

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An Indicator-Based Framework of Circular Cities Focused on Sustainability Dimensions and Sustainable Development Goal 11 Obtained Using Machine Learning and Text Analytics

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106219 - 106219

Published: Feb. 1, 2025

Language: Английский

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Wastewater recovery for sustainable agricultural systems in the circular economy – A systematic literature review of Life Cycle Assessments

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169310 - 169310

Published: Dec. 19, 2023

Water availability and quality are known to affect agricultural production nutrition. The aim of this study was elaborate a systematic literature review the most sustainable ways wastewater treatment towards achieving circular economy (CE) in agro-industry activities. From SLR, authors selected twenty-seven papers that they classified into three research themes recovery irrigation water, extraction sludge for bio-based compounds, nutrients soil amendment, including recovering feeds aquaculture, nutrient biosolids amendment. Results underlined amendment can generate GWP gain up - 37 kg CO2-eq. So, highlighted multiple purposes be truly effective environmental sustainability systems, LCA is valid tool assess improve sustainability. Under perspective, SLR's findings stimulate public administrations at national local scales their planning funding activities implementing bioeconomy paths based upon sustainable, resilient agriculture. Overall, believe article overviewing current CE context, highlighting key methodological aspects reviewed LCAs, advance specialised knowledge, guide practitioners future applications field. Finally, through its main findings, effectively contributes whole project which it part deeply involved in. That performed under Progetto GRINS "Growing Resilient, Inclusive Sustainable" thanks PNRR M4C2- Investment 1.3 with "Building dataset Italian systems".

Language: Английский

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Addressing resource scarcity and fostering sustainability through environmental education in Asia

Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104823 - 104823

Published: Feb. 14, 2024

Language: Английский

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