Green Infrastructure Research Articles

Beyond functionality: topographical complexity as a driver of aesthetic value in urban green infrastructure

Cities face growing challenges from stormwater: flooding, pollution, and habitat loss. Green infrastructure offers solutions, yet the aesthetic dimension is often overlooked. This study introduces the Buras Beauty Scale for objectively assessing the beauty of wetland configurations and emphasises its integration into green infrastructure projects. Our methodology involved surveying diverse groups, including non-architecture students and non-traditional architects, who perceived higher beauty in wetland configurations compared to traditional architects and architecture students (mean beauty scores: 7.8 and 7.5 vs. 6.2 and 6.4, respectively). Statistical analysis revealed a strong correlation (r = 0.731, p < 0.05) between beauty assessments and Shannon-Weaver entropy, highlighting the importance of topographic diversity. We also observed that higher beauty scores correlated with greater consensus among respondents, as evidenced by a decrease in the coefficient of variation from 0.52 to 0.34. Multicriteria analyses, integrating beauty with functionality, identified optimal wetland configurations for urban landscapes.

Health information system assessments: Opportunities for international collaboration

Abstract Since the late 1990s, with the development of European Core Health Indicators (ECHI) and the European Health Interview Survey (EHIS), the EU aims to strengthen its continental database for evidence-informed public health policy and research. BRIDGE Health (2015-2017), InfAct (Information for Action 2018-2021) and PHIRI (Population Health Information Research Infrastructure 2020-2023) projects prepared for the establishment of a sustainable European health information infrastructure. Country health information system (HIS) assessments were core project activities, performed on the basis of the WHO Euro ‘Support Tool to strengthen health information systems’. To serve project objectives, the original top-down Support Tool was modified and implemented in a peer-to-peer approach among project countries. InfAct and PHIRI conducted 9 country peer-assessments each. InfAct assessments were carried out through country visits, targeting overall health information inequalities and good practices. PHIRI performed virtual country visits, focusing on COVID-19 health information flows. The WHO Tool was further adapted by the Joint Action TEHDAS (2021-2023) to assess the readiness of HIS in Europe for the European Health Data Space. Experience with these different iterations led to the revision of the Support Tool in 2021 to include a more expanded and modular approach which enables HIS assessments to opt to focus on specific aspects. To date, a sustainable European health information infrastructure has not been set up. Currently, the EU funds a joint Health Information Network with WHO Euro. Building regional infrastructures for public health and NCDI/MH monitoring and reporting depend on structures and on the political will of supranational organizations and their members. Meanwhile, HIS assessments to improve surveillance, population health and to reduce health information inequalities lend themselves to increased international collaboration and knowledge exchange.

Progressing towards personalised medicine: the Genomic Data Infrastructure (GDI) project

Abstract Funded by the European Commission under the Digital Europe Programme and through co-funding from participating Member States, the European Genomic Data Infrastructure (GDI) aims to support the 1+Million Genome initiative for establishing an effective data infrastructure for genomic data. GDI has the potential to fill the gap between genomic research and clinical practice, promoting the implementation of data-driven precision medicine in Europe with the harmonisation of genomic and related phenotypic and clinical data across adhering countries. Launched in November 2022, the GDI project is a collaborative effort involving partners from 20 European countries, divided into 8 Work Packages across three Pillars. GDI is structured with the development of a framework (Pillar I Long-term sustainability) and the necessary tools (Pillar II 1+MG infrastructure deployment), with the implementations of use cases (Pillar III Application and innovation solution) to support research and innovation, integrate findings into the clinic and healthcare, and improve public health measures. In the first 2 years, we completed the starter kit which we are currently testing with real data. Over the subsequent years, the GDI project aims to provide a federated and sustainable infrastructure for facilitating research that use genomic data. Through authorized secure access, clinicians and researchers can leverage genomic insights for faster and more precise clinical decision-making, diagnosis, and treatments. The GDI project represents a significant opportunity to improve healthcare outcomes and public health measures by leveraging the potential of genomics. By providing secure access to extensive genomic datasets combined with phenotyped data, the infrastructure sets the foundation for international partnerships in personalized medicine. Ultimately, this initiative holds the promise of advancing medical understanding, enhancing patient care, and fostering economic growth across Europe. Key messages • GDI drives personalised medicine via international collaboration, building a sustainable infrastructure. Harmonizing data accelerates innovation, improving outcomes and fostering growth in Europe. • GDI aims to revolutionize healthcare by collecting and harmonizing genomic and clinical data in Europe. It facilitates faster and more precise decisions and treatments, improving healthcare outcomes.

2.G. Practice session: Africa and Europe: peer-to-peer HIS assessments for NCD, mental health and injuries surveillance

Abstract Public health surveillance is the basis for evidence-informed decision-making and health (systems) research, globally. Without robust data, public health challenges cannot be tackled. NCDs, mental health conditions and injuries (NCDI/MH) are among the biggest global public health challenges. Their risk and protective factors, including social, political and commercial determinants of health, transcend borders and require multi-disciplinary, multi-stakeholder and long-term responses. Since 2006, comparable national data on NCDI/MH are being collected in Europe on the basis of European Core Health Indicators (ECHI) and the European Health Interview Survey (EHIS). Currently, EU and WHO EURO are working together to set up a new Health Information Network. At EU level, a sustainable health information infrastructure is still lacking, despite extensive preparations in EU-funded projects. Part of these project activities were health information system (HIS) assessments, applying the WHO EURO Support tool to strengthen health information systems for peer-to-peer assessments. In the African region, the Africa Centres for Disease Control and Prevention (Africa CDC), founded in 2017, made NCDI/MH prevention and control a strategic priority. In 2021, it launched its first continental NCDs, Injuries Prevention and Control and Mental Health Promotion Strategy (2022-26) under which the organization supports its Member States. At the 3rd International Conference on Public Health in Africa (Zambia, Nov. 2023), Africa CDC presented a continental Guidance to strengthen NCDI/MH surveillance. The Guidance was developed in collaboration with Robert Koch Institute (RKI) and is based on desk reviews, surveys and national HIS assessments. Both Europe and Africa performed HIS assessments to strengthen NCDI/MH surveillance; standardized tools from WHO EURO and from the International Association of National Public Health Institutes (IANPHI) were used and adapted to fit peer-to-peer approaches and regional contexts. This workshop will present and discuss methodological approaches, experiences and lessons learned, thereby initiating knowledge exchange across continents. The presentations will address the following points: - From top-down to peer-to-peer: methods &amp; tools used in HIS assessments - From paper to practice: the importance of site visits in HIS assessments - From educated guesses to evidence: outcomes of HIS assessments at country level - From evidence to action: translation of HIS assessment outcomes into HIS improvements - From pilot to scale-up: challenges, lessons learned, sustainability of HIS developments To our knowledge, this workshop is the first one at the EPH to bring together practitioners in HIS strengthening for NCDI/MH from Africa and Europe. The workshop offers a unique opportunity to engage with the audience and to explore options for international collaboration. Key messages • Interregional collaboration helps reduce health information inequalities, facilitating better global management of high burden health challenges, such as NCDs, mental health conditions and injuries. • Peer-to-peer HIS assessments in Africa and Europe strengthen NCDI/MH surveillance. They build evidence for policy advice, research and health education and add the benefit of forging expert networks.

Sustainability in the Next Generation Hospital. Needs and Requirements collection from healthcare infrastructures supply chain stakeholders with One Health approach

Abstract Technological, demographic, epidemiological, environmental and social changes require investment in new sustainable hospital infrastructure; there is a lack of guidelines and interaction between Stakeholders. In February 2022, the Joint Research Platform Healthcare Infrastructures (JRP HI) was established consisting of Hospital Strategic Directions and Industrial Partners in Italy. Starting from the WHO Techincal Brief “Hospitals of the Future”, a national survey was carried out via web-survey and semi-structured interviews with a sample of 30 stakeholders to collect the main drivers and constraints for innovation and the framework from a One Health perspective and in terms of sustainability. The main needs to be addressed through the guidelines refer to digitalization (27%), flexibility (32%), environmental sustainability (36%) and economic sustainability (27%) as well as flow management (18%) and hospital infection (14%). The participants consider SDG-3 ‘Good Health and Wellbeing’ to be the most relevant for development activities. Hospital managers prioritize SDG-8 ‘Decent Work and Economic Growth’ (23%); vice-versa the industrial partners suggest SDG-11 ‘Sustainable Cities and Communities’ and SDG- 13 ‘Climate Actions’ (32%) as topics to be addressed. Furthermore, 57% of the respondents state that they lack adequate training, budget or leadership to apply innovative strategies in the day-to-day management of the healthcare organization. The survey highlighted a lack of initiatives, budget, and standardization for enhancing environmental sustainability in healthcare infrastructures. The sustainability of building systems depends on factors such as energy consumption, alternative energy sources, thermal comfort, water usage, waste management, ventilation, lighting efficiency, air quality, and construction materials. Ensuring the adoption of monitoring systems and harmonized standards of performance measurement is crucial for increasing the environmental sustainability.

Investigation of Community Engagement in Sustainable Construction Projects: Case Studies from Nigeria

This study investigates the role of community engagement in sustainable construction projects in Nigeria, focusing on three case studies: a green residential building in Lagos, an eco-friendly community center in Abuja, and a sustainable water infrastructure project in rural Kano. Using a mixed-methods approach, data were collected through interviews, surveys, and document analysis. The research identifies significant variations in engagement practices, with Lagos showing high engagement levels, leading to greater community acceptance and better environmental outcomes. Key success factors include strong leadership, adequate funding, and effective communication, while challenges such as socio-cultural barriers and political interference were noted. The findings emphasize the importance of sustained, tailored engagement strategies to enhance project sustainability and community support. This study contributes to the literature by providing empirical data on the long-term impacts of community engagement, offering insights for policy makers and project managers to improve community participation in sustainable construction.

Application of micro and nano modifying additives in road construction materials

The need for stronger and more sustainable road infrastructure has stimulated research into innovative materials, including micro- and nano-additives, to improve the performance of asphalt and bitumen. This paper aims to summarize the advances in the application of these additives with a focus on improving mechanical, thermal, and environmental properties. The study provides a detailed review of traditional micro-additives such as elastomers and resins, as well as advanced nanomaterials including nano silica, nano clay, and carbon nanoparticles. Methods include analyzing experimental data from recent studies on bitumen modification with biopolymeric materials such as polylactic acid (PLA), which show an increase in molecular weight, softening point, and ductility. The main results show that the use of nano additives improves the durability of the road surface, increases its resistance to cracking, and increases the service life of the material under different climatic conditions. For example, roads modified with nano silica showed a 20-30% improvement in tensile strength and a 15% reduction in deformation. In addition, PLA bitumen modification increased the softening point by 10°C and improved the overall elasticity by 25%. These results emphasize the potential of micro- and nano-additives to create more durable, environmentally friendly, high-performance road materials.

A Review of Reliability Research in Regional Integrated Energy System: Indicator, Modeling, and Assessment Methods

The increasing complexity of integrated energy systems has made reliability assessment a critical challenge. This paper presents a comprehensive review of reliability assessment in Regional Integrated Energy Systems (RIES), focusing on key aspects such as reliability indicators, modeling approaches, and evaluation techniques. This study highlights the role of renewable energy sources and examines the coupling relationships within RIES. Energy hub models and complex network theory are identified as significant in RIES modeling, while probabilistic load flow analysis shows promise in handling renewable energy uncertainties. This paper also explores the potential of machine learning methods and multi-objective optimization approaches in enhancing system reliability. By proposing an integrated assessment framework, this study addresses this research gap in reliability evaluation under high renewable energy penetration scenarios. The findings contribute to the advancement of reliability assessment methodologies for integrated energy systems, supporting the development of more resilient and sustainable energy infrastructures.

Climate Resilience in Nigerian Construction: A Systematic Review of Strategies and Outcomes

Climate resilience in the construction sector is critical for ensuring the durability and sustainability of infrastructure amidst the increasing impacts of climate change. This study systematically reviews climate resilience strategies in the Nigerian construction sector, evaluating their effectiveness and outcomes. A comprehensive literature search yielded 50 peer-reviewed journal articles, conference papers, and official reports, focusing on design innovations, material selection, policy frameworks, and case studies across Nigeria's diverse climatic zones. Key findings indicate that strategies such as flood barriers, green roofs, and sustainable materials are effective in mitigating climate risks, although challenges such as financial constraints, regulatory gaps, and lack of awareness persist. The study highlights the importance of community involvement, government support, and technological innovation in successfully implementing resilience measures. Comparative analysis with global best practices underscores the need for integrated approaches tailored to Nigeria's unique context. The study concludes with recommendations for future research, emphasizing the need for longitudinal studies, cross-regional comparisons, and the integration of traditional knowledge. Policy implications include the development of comprehensive regulatory frameworks and public-private partnerships to enhance the sector's adaptive capacity. This research provides valuable insights and practical recommendations for enhancing climate resilience in Nigeria's construction industry, contributing to broader goals of sustainable development and climate adaptation.

Informing healthy urban policy making through quantitative health impact appraisal – a co-designed approach

Abstract Quantitative health impact appraisal for land use development is currently challenging. We show how a co-designed process between urban decision makers and academics can help to improve ways of deriving evidence for creating healthier cities. The Health Appraisal of Urban Systems (HAUS) economic valuation model was developed with local partners to inform a strategic framework for a UK urban regeneration site. HAUS is a comparative risk assessment model which allows the user to understand mechanisms for change through applying an impact-pathway approach to quantify changes in health. It is informed by systematic reviews of epidemiology and societal costs of 85 individual health end-points. Scenarios combined a range of characteristics including air and noise pollution, green space, crime, walkability, food environment and transport. Health outcomes include morbidity and mortality impacts. Results show the value of a holistic approach to comparing health risks in designing urban living. By monetising outcomes, practitioners were able to understand the relative magnitude of risk within a specific area and compare alternate urban development scenarios. Compared to an unmanaged development, the Strategic Framework can mitigate health risks by improving safety and quality of the public realm and add health benefits by encouraging activity and active commuting. Flood risks are managed, and green infrastructure improved and extended. These benefits extend to communities outside the site boundaries. Over 25 years, the PV benefits are £60 - 80 million in averted health costs. Strategic planning for urban areas can unlock the potential of the public realm to tackle health inequalities and mitigate serious risks to public health. Timely access to quantitative information on health can help inform understanding of unhealthy environments, strengthen arguments for good design, reinforce capacity of planning teams and so improve the quality of urban developments. Speakers/Panelists Odile Mekel NRW Centre for Health, Bochum, Germany

Sustainable Urban Tourism Development in Doha: Balancing Economic Growth and Environmental Stewardship

This study investigates the development of sustainable urban tourism in Doha, Qatar, with a focus on balancing economic growth and environmental stewardship. The research explores the integration of sustainable practices within Doha’s tourism sector, the implementation of key policies such as the Qatar National Vision 2030, and the impact of the FIFA World Cup 2022 on tourism and sustainability efforts. Using a mixed-methods approach, including qualitative interviews with 30 key stakeholders and quantitative data analysis, the findings reveal that while Doha has made substantial progress in areas such as resource management and green infrastructure development, challenges remain—particularly in retrofitting older buildings and enforcing sustainability standards. The FIFA World Cup 2022 acted as a catalyst for sustainable practices, but the long-term success of these efforts depends on continued investment and policy enforcement. This study provides valuable insights for policymakers, urban planners, and tourism officials working to promote sustainable urban tourism in rapidly developing cities.

Building Information Modeling Applications in Civil Infrastructure: A Bibliometric Analysis from 2020 to 2024

Building Information Modeling (BIM) has emerged as a transformative technology in the Architecture, Engineering, and Construction (AEC) industry, with increasing application in civil infrastructure projects. This study comprehensively reviews the research landscape of BIM applications in civil infrastructure through bibliometric analysis. Based on data from the Web of Science database, 646 relevant papers published between 2020 and 2024 were collected, and 416 papers were selected for in-depth analysis after screening. Using bibliometric methods, the analysis reveals the evolution of research trends, identifies key contributors and influential publications, and maps the knowledge structure of the field. Our study shows a significant increase in research output over the past five years, particularly in studies focusing on the integration of BIM with emerging technologies such as Digital Twins, the Internet of Things (IoT), and Machine Learning. The results indicate that the United States, China, and the United Kingdom lead in terms of research output and citation impact. Additionally, based on clustering results and representative keywords, several key research clusters were identified, including BIM in infrastructure lifecycle management, BIM collaboration in large-scale projects, and BIM for sustainable infrastructure design.

Indigenous justice frameworks for relational ethics in land-based design

ABSTRACT In the face of systematic expropriation, massive biodiversity loss, and the ongoing climate crisis, Indigenous peoples, knowledge, and labor have protected over 80% of the global biodiversity. This is remarkable given that Indigenous management or tenure remains over 20–25% of the planet’s terrestrial surface. Indigenous people’s capacity to protect biodiversity within their territories cannot be separated from the ethical frameworks that shape their relationships with land. These frameworks have been articulated by a diverse array of Indigenous scholars across the globe, and while they cannot be generalized, many share principles that go beyond dominant Western Scientific approaches that normalize utilitarian or idealized (e.g. ideals of wilderness) ethical systems. We argue that dominant policy and research discourses around land-based practices such as nature-based solutions and green infrastructure, will not be effective ‘solutions’ to ongoing crises of climate change and biodiversity loss. Instead, we must go beyond paradigms of improvement and anthropocentric utility and ground land-based practices in the paradigm of relational ethics. Through this perspective paper, we argue that rather than seeking solutions through redesigning ecosystems for utilitarian reasons, all interventions on Indigenous ancestral lands (recognized by settler states or not) should first center relational ethical approaches for land-based design practices and ground efforts in Indigenous justice. Our proposed ‘Indigenous Justice Frameworks for Relational Ethics in Land-based Design’ is based on the inseparability of bodies, lands, and knowledges, and is guided by the following elements: (1) generative refusal, (2) centering healing, reparation, and right relations, and (3) restoring and evolving Indigenous governance.

Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction

The integration of artificial intelligence (AI) and statistical methods has revolutionized civil engineering by enhancing accuracy, efficiency, and reliability in various processes. This review systematically examines how advanced optimization techniques, including artificial neural networks (ANNs), Design of Experiments (DOE), and fuzzy logic (FL), are transforming civil engineering practices. It emphasizes the significant roles these methods play in addressing modern challenges such as structural health monitoring, damage detection, seismic design optimization, and concrete condition assessment. The review delves into case studies and real-world applications, showcasing the potential of these methods to create more resilient, sustainable, and cost-effective infrastructures. It critically examines the limitations and scalability of these techniques, identifying gaps in current research and practical challenges in real-world applications. The investigation also highlights the need for substantial computational resources, data privacy, security, and software interoperability. By addressing these issues, the review not only shows advancements in optimization techniques but also outlines future research directions, aiming to bridge the gap between theoretical developments and practical applications in civil engineering. This review serves as an essential resource for researchers, professionals, and policymakers interested in leveraging optimization techniques to advance civil engineering practices.

Intelligence in Photovoltaic Fault Identification and Diagnosis: A Systematic Review

The increasing global demand for renewable energy has propelled the adoption of photovoltaic systems as a key component of sustainable energy infrastructure. Undetected photovoltaic system faults can lead to significant energy losses, often exceeding 10%, necessitating efficient fault detection and diagnosis. Artificial intelligence, particularly machine learning and deep learning, offers promising solutions for real-time, high-volume fault detection and complex pattern recognition in PV systems. This research analyzes various PV fault detection studies, examining their objectives, methods, results, and the prevalence of ML/DL approaches. The analysis highlights the application of both classical ML algorithms, such as K-Nearest Neighbors and Random Forest, and advanced DL models, including Convolutional Neural Networks, for PV fault diagnosis.

Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage

Structural health monitoring ensures the safety and longevity of structures like buildings and bridges. As the volume and scale of structures and the impact of their failure continue to grow, there is a dire need for SHM techniques that are scalable, inexpensive, can operate passively without human intervention, and are customized for each mechanical structure without the need for complex baseline models. We present a novel “deploy-and-forget” approach for automated detection and localization of damage in structures. It is a synergistic integration of entirely passive measurements from inexpensive sensors, data compression, and a mechanics-informed autoencoder. Once deployed, the model continuously learns and adapts a bespoke baseline model for each structure, learning from its undamaged state’s response characteristics. After learning from just 3 hours of data, it can autonomously detect and localize different types of unforeseen damage. Results from numerical simulations and experiments indicate that incorporating the mechanical characteristics into the autoencoder allows for up to a 35% improvement in the detection and localization of minor damage over a standard autoencoder. Our approach holds significant promise for reducing human intervention and inspection costs while enabling proactive and preventive maintenance strategies. This will extend the lifespan, reliability, and sustainability of civil infrastructures.

Sustainable Transportation Characteristics Diary—Example of Older (50+) Cyclists

Cycling is a sustainable and healthy form of transportation that is gradually becoming the primary means of transportation over shorter distances in many countries. This paper describes the dataset used to determine the cycling characteristics of seniors in the USA and Canada. For these purposes, a specially created questionnaire was used in a survey conducted from August 2021 to July 2022. The questionnaire contained sections related to the general socio-demographic characteristics of the respondents, general characteristics of cycling (type of bicycle, cycle time, mileage, etc.), and specific characteristics of cycling (riding in night conditions, termination of cycling, motivating and demotivating factors for cycling, etc.). The total sample consisted of 5096 respondents (50+ years old). This database is particularly significant because it represents the first set of publicly available data related to the cycling characteristics of older adults. The database can be used by various researchers dealing with this topic, but also by the decision-makers who want to design a sustainable and accessible cycling infrastructure, respecting the requirements of this category of users. Finally, this dataset can serve as an adequate basis in the process of determining the specificities and understanding the needs of older cyclists in traffic.

Green nexus womenpreneurs: harnessing internal-external capabilities for sustainable MSMEs fashion

Purpose This study aims to analyze the capabilities and external conditions of womenpreneur owners of micro, small and medium enterprises (MSMEs) Fashion EcoPrint Indonesia in green business practices and their implications for sustainable business performance. Design/methodology/approach This study chooses a quantitative approach with a sustainable business internal-external capability model. Using the structural equation modeling-partial least square analysis tool, the analysis was conducted on a sample of womenpreneurs who owned MSMEs EcoPrint Indonesia (n = 493). Findings In the internal capability dimension, total quality environment and green core competence affect green supply chain management, affecting green product innovation performance. Meanwhile, women entrepreneurs’ external capability dimensions (regulation, customer awareness of the environment and technological innovation infrastructure) are connected to sustainable development business capabilities, which affect the performance of green process innovation. The study confirms that green products and processes have the potential to influence sustainable business performance. A key finding is the strong influence of environment-based total quality management governance on both sides. At the same time, womenpreneurs have a significant impact on their respective dimensions. Research limitations/implications This study has implications for increasing competency, Sustainable MSME industrial infrastructure, and protecting women in developing countries. The theoretical implications of creating a model that examines the impact of womenpreneurs’ internal and external abilities on eco-friendly businesses’ success are significant for developing nations’ promising growth. Originality/value This study explores women’s contributions to family well-being and environment-based economies, focusing on eco-friendly supply chain management and sustainable external capabilities of women entrepreneurs in Indonesia, using a gender equality approach in developing economies.

AI for Sustainable Ground Infrastructure

AI for Sustainable Ground Infrastructure

Effectiveness of Legislative Measures in Protecting Trees as Key Elements of Green Infrastructure

Effectiveness of Legislative Measures in Protecting Trees as Key Elements of Green Infrastructure