Sustainable Urban Environment Research Articles

Strategic Digital City: Multiple Projects for Sustainable Urban Management

In the last two decades, sustainable urban environments have been predominant, meaning that knowledge production has accompanied this growth. The objective of this study is to present multiple projects for sustainable urban management applied in cities, based on the original Strategic Digital City (SDC) concept, model, and project. The research methodology included an SDC systematic literature review, highlighting the sustainability and respective action research of 11 doctoral theses and multiple projects. The obtained results highlight a set of published multiple projects that form a practical analytical cycle of sustainable and interconnected urban processes through the original SDC framework proposition, SDC, which can be applied in different cities in different countries. The innovations present in the SDC multiple projects propose a theoretical–empirical debate in the interdisciplinary areas of urban management, municipal administration, and sustainable public innovation, with a focus on local government and democracy studies, prioritizing sustainable strategies in cities and not just technologies. The conclusion reiterates that the original multiple projects, created and applied in different cities, present an interdisciplinary advance in sustainable urban management areas and public administration, focused on sustainable urban studies.

BASIC PRINCIPLES OF PARK ZONES ARRANGEMENT IN THE CONDITIONS OF THE MODERN CITY

The main principles of park zones arranging in the conditions of modern cities are analyzed in order to determine the optimal approaches to their development and organization, in particular, taking into account ecological, socio-economic and aesthetic aspects. Arguments are given that speak of the importance of observing the rules of zoning of such territories and prove the impact of the presence of properly located park zones on the physical and mental health of people. The most effective strategies for preserving the natural environment and creating a comfortable space for the city's residents have been determined, as well as potential obstacles and problems that may arise in the process of setting up park areas, and suggestions for overcoming them have been identified. The article provides a comparative analysis of the arrangement of park zones in Mariupol and Berlin. Fundamental differences in the planning of park zones as recreation areas for city dwellers have been identified. Innovative methods of using space, the introduction of eco-friendly materials and technologies, as well as the interaction of park zones with other aspects of urban planning (residential districts, the business part of the city, industrial zone, etc.) to create a healthier, sustainable and attractive urban environment were studied. The studies were carried out in accordance with the current regulatory documents, which regulate the basic principles of arranging park zones, taking into account world experience regarding location, planning, filling (small architectural forms, monuments, lighting, landscaping) and other aspects. The main criteria for the optimization of park zones are: preservation of the existing priority direction of territory use while increasing the protection regime of individual areas; preservation of green areas and historical integrity of the territory; preservation and restoration of the formed landscape and architectural features of parks-monuments of garden and park art; appropriate territorial ratio of functional zones, organization of care for park territories at the level of local authorities and compliance with rules of use. Arrangements of park and green areas of cities from different countries were compared. Keywords: park areas, modern trends, green areas.

Local Government Cybersecurity Landscape: A Systematic Review and Conceptual Framework

Local governments face critical challenges in the era of digital transformation, balancing the responsibility of safeguarding resident information and administrative documents while maintaining data integrity and public trust. These responsibilities become even more critical as they transition into smart cities adopting advanced technological innovations to revolutionize governance, enhance service delivery, and foster sustainable and resilient urban environments. Technological advancements like Internet-of-Things devices and artificial intelligence-driven approaches can provide better services to residents, but they also expose local governments to cyberthreats. There has been, nonetheless, very little study on cybersecurity issues from the local government perspective, and information on the multifaceted nature of cybersecurity in local government settings is scattered and fragmented, highlighting the need for a conceptual understanding and adequate action. Against this backdrop, this study aims to identify key components of cybersecurity in a local governmental context through a systematic literature review. This review further extends to the development of a conceptual framework providing a comprehensive understanding of the local government’s cybersecurity landscape. This study makes a significant contribution to the academic and professional domains of cybersecurity issues and policies within the local governmental context, offering valuable insights to local decision-makers, practitioners, and academics. This study also helps identify vulnerabilities, enabling stakeholders to recognize shortcomings in their cybersecurity and implement effective countermeasures to safeguard confidential information and documents. Thus, the findings inform local government policy to become more cybersecurity-aware and prepared.

The 15-minute city concept: The case study within a neighbourhood of Thessaloniki.

Cities, crucial cultural hubs, mould individual and group identities. The global urban expansion, with over half the population in urban areas, presents interconnected challenges such as pollution, poverty, inequality, ageing infrastructure, resource overconsumption, land use changes, biodiversity impact and climate change. Addressing these demands ambitious actions targeting political, social and economic systems for transformative change. The theoretical framework guiding city transformation centres on an interdisciplinary approach influenced by the Smart and Green Transition. The '15-minute city' concept, emphasizing human scale and urban experience, proposes that cities enable residents to meet daily needs within a short walk or bike ride. The aim of this study was the exploration of its implementation in Greek cities, particularly Thessaloniki, which reveals inherent characteristics supporting the 15-minute concept. Through an interdisciplinary approach rooted in the Smart and Green Transition framework, the research provides concrete guidance for policymakers in tailoring urban planning strategies, allocating resources effectively and crafting policies conducive to successful and sustainable urban transformations. Moreover, prioritizing public engagement highlights the significance of community involvement in shaping urban development plans, ensuring that proposed initiatives align with residents' needs and desires. In essence, this research contributes tangible insights and actionable recommendations for Greek cities, paving the way for more liveable, resilient and sustainable urban environments.

Analyzing Walkability in Hyderabad: A Study of Sakhi Sultan Road

The current study aimed to address the critical issue of climate change and the role of urbanization in exacerbating global warming. Urban sprawl and reliance on automobiles have led to the occurrence of significant urban problems. Therefore, the current study focused on the concept of walkability and its potential to foster sustainable urban neighborhoods. Walkability can be referred to as an effective green transport option that reduces congestion, environmental impact, and energy consumption while promoting healthier lifestyles and social cohesion. Moreover, the study also emphasized the necessity of innovative and strategic design and planning of neighborhood streets to enhance walkability. The research methodology comprised a case study of Sakhi Sultan Road in Hyderabad using field observations and visual analysis to assess the current condition and potential for improvement. The visual analysis identifies various environmental features that influence walkability including aesthetics, functionality, and safety. The findings revealed a mixture of present and absent features across different spots on the street. Additionally, the study also identified multiple issues, such as inadequate maintenance, lack of accessibility features, and encroachments on pedestrian pathways. All these issues highlight a need to improve and enhance walkability. Literature review supports the relationship between walkability and sustainability, citing that walkable environments enhance the quality of life, promote environmental sustainability, and reduce urban issues, such as traffic congestion and pollution. The study concluded with recommendations to address the highlighted issues and enhance the environmental features in order to foster a more walkable and sustainable urban environment.

Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments

Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments

The influence of road network topology on street flooding in New York City—A social media data approach

Urban road network is crucial stormwater infrastructure as city roads serve as paths for stormwater runoff and urban flooding. However, it remains unclear how different road networks influence urban flooding. While past studies have examined high-magnitude and high-intensity flooding events at the large river basin scale, they neglected smaller and more frequent street flooding events (SFEs) which could have a higher cumulative cost. Hence, this study used urban road network topology (RNT) factors and social media big data related to street flooding to investigate their associations with data-driven methods for 557 sewer catchments across New York City (NYC). 11,042 SFEs were taken from raw street flooding complaints (SFCs) recorded on the NYC 311 sewer complaints platform between January 1, 2010, and April 28, 2022. We then used generalized linear mixed models to identify the relationship between RNT factors and street flooding risk (SFR) and found that the characteristics of SFR periodically changed with spatial–temporal heterogeneity. While impervious factor was previously found important, RNT emerged as a new significant factor influencing SFR, with the effects being larger in combined sewer systems and heavy precipitation events. We discerned that planning a dendric road network pattern, increasing RNT connectivity in downstream areas, and having wider roads with more intersections could reduce SFR. Decreasing RNT connectivity in upstream areas, road length, the number of roads, and sewer catchment area also mitigated SFR. Our analysis provided informed street flooding mitigation and adaptation strategies to promote a more resilient, healthy, and sustainable urban environment.

Local Climate Zone Classification Using YOLOV8 Modeling in Instance Segmentation Method

Local climate zones play a crucial role in understanding the microclimates within urban areas, contributing to urban planning, environmental sustainability, and human comfort. Istanbul, as a transcontinental city straddling Europe and Asia, exhibits a rich blend of historical and modern architecture, varying land use patterns, and diverse microclimates. In this study, using high-resolution Google Earth imagery for explores the classification, utilizing a cutting-edge deep learning architecture YOLOv8 model, of Local Climate Zones (LCZ) in Istanbul, a city known for its diverse and dynamic urban landscape. The latest cutting-edge YOLO model, YOLOv8, is designed for tasks such as object detection, image classification, and instance segmentation, showcasing its versatility in computer vision applications. Labeled data was created according to WUDAPT's sharing the things to consider when "create LCZ training areas" from google earth images. The model is trained on high-resolution, bird's-eye-view images of Istanbul obtained from Google Earth, meticulously labeled with LCZ categories. The results obtained from the test images demonstrate the model's efficacy in accurately classifying and segmenting LCZ categories, providing valuable insights into the local climate variations within Istanbul. This research contributes to the field of urban climate studies by offering a robust and scalable approach to LCZ classification using advanced deep learning techniques. The outcomes hold implications for urban planning, environmental sustainability, and informed decision-making in the context of Istanbul's unique and diverse urban environment.

Enhancing Najran’s sustainable smart city development in the face of urbanization challenges in Saudi- Arabia

ABSTRACT This research offers valuable perspectives on the nexus between urbanization and the smart environment within the Najran city, Saudi Arabian context. Najran City, with its diverse districts and evolving urban landscape, is at the forefront of adopting advanced technologies and participatory governance models to create a resilient, environmentally conscious, and sustainable urban environment, likewise positioning itself as a model of smart urban development but is also fostering an innovation-driven community equipped to address the difficulties and exploit the prospects given by the 21st century. The study systematically analyzes the multifaceted factors of smart city variables in Saudi Arabia and their direct impact on urban sustainability through extensive quantitative investigations. This study reveals the positive correlations between smart city attributes, on the attainment of urban sustainability. In order words, the smart city’s attributes such as IoT (Internet of Things) devices, smart infrastructure, and data-driven solutions are linked to the creation of a resilient urban environment in the face of urbanization and sustainability challenges. On the other hand, the study noted that the integration of smart technologies might lead to unintended consequences in urban planning. For example, an overemphasis on technology may overshadow human-centric approaches, which might potentially affect the community well-being and social cohesion. Study’s insights provide policymakers, urban planners, and players with an in-depth knowledge of the pathways to harness smart city attributes for sustainable Najran urban development. The implications of this research extend beyond the borders of Saudi Arabia, serving as a valuable reference for regions worldwide grappling with similar urbanization and sustainability challenges in the 21st century. By harnessing the potential of smart cities, Saudi Arabia and other nations can pave the way for greener, more resilient urban futures.

Unlocking the Potential of Sustainable Smart Cities: Barriers and Strategies

The development of sustainable smart cities (SSCs) is pivotal for contemporary urban expansion, as highlighted by numerous international frameworks and scholarly studies. This study focused on Saudi Arabia to identify and assess the key challenges impeding the evolution of intelligent and sustainable urban environments. By categorizing and hierarchically analyzing these impediments, the research isolates the most significant barriers to SSC advancement. A total of 18 obstacles were identified, organized into four categories, and reviewed using existing scholarly literature. Semi-structured interviews were conducted with stakeholders engaged in executing SSC initiatives, enriching the research from a practical perspective. Additionally, a survey ranked these barriers, revealing that social and economic factors pose the most significant challenges, followed by governance and legal, technology, and environment. The findings of this study offer critical insights for policymakers and governments to mitigate the barriers to SSC development efforts.

Association between park vitality and commercial vitality: a case study in Chengdu

ABSTRACT Urban vitality stands as a pivotal metric for evaluating the sustainability and appeal of urban environments. Global experiences underscore the significance of parks and shopping centers as crucial components of urban vitality spaces. However, existing literature predominantly concentrates on the individual impacts of parks or shopping centers on urban vitality, with limited exploration into the vitality relationship between them, often relying on linear correlation analyses. To address this gap, this study, centered on the renowned Park City of Chengdu in China, employs Baidu heatmap and POI data, utilizing a combination of spatial syntax and linear and non-linear analysis methods to examine the influence of road accessibility on the vitality of shopping malls and parks, as well as their correlation. Findings indicate: (1) High-vitality shopping malls primarily cluster within the first ring road, while park utilization is notably higher in the southern urban area. (2) High-vitality parks and shopping centers are situated in regions characterized by elevated global integration and efficiency values, suggesting their vitality is influenced by road accessibility. (3) Linear correlation analysis, with global integration and efficiency values controlled, yields correlation coefficients of 0.797 and 0.795 for high-vitality parks and shopping centers, respectively. Non-linear correlation analysis indicates a correlation coefficient close to 0.7 between park vitality and shopping mall vitality, highlighting a strong correlation between them. This study elucidates the critical relationship between park vitality and commercial vitality in urban layout, offering valuable insights for urban planning strategies aimed at promoting sustainable urban development.

GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling

Understanding building morphology is crucial for accurately simulating interactions between urban structures and hydroclimate dynamics. Despite significant efforts to generate detailed global building morphology datasets, there is a lack of practical solutions using publicly accessible resources. In this work, we present GLAMOUR, a dataset derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009° across urbanized areas worldwide. Validated in 18 cities, GLAMOUR exhibits superior accuracy with median root mean square errors of 7.5 m and 0.14 for building height and footprint estimations, indicating better overall performance against existing published datasets. The GLAMOUR dataset provides essential morphological information of 3D building structures and can be integrated with other datasets and tools for a wide range of applications including 3D building model generation and urban morphometric parameter derivation. These extended applications enable refined hydroclimate simulation and hazard assessment on a broader scale and offer valuable insights for researchers and policymakers in building sustainable and resilient urban environments prepared for future climate adaptation.

Systematic Review of Built Environment Attributes of Walkability: Cases of Malaysia

Walkability has gained considerable traction in recent years as a key concept for promoting sustainable urban environments and healthier lifestyles. Built environment attributes such as infrastructure, streetscape design, land use mix, and street connectivity were found to have a high impact on walking behavior. However, due to the context-specific nature of walkability, where attributes deemed important in one context may not hold the same significance in another, this study aims to examine walkability attributes and methods within the Malaysian context. The goal is to offer valuable insights for researchers and policymakers operating in similar contexts. This study employed a systematic review following the PRISMA guidelines. A comprehensive search of SCOPUS and Google Scholar identified and assessed studies related to walkability in Malaysia. Rigorous screening and application of inclusion criteria yielded 32 Malaysian articles published between 2011 and 2021 for detailed review. Data extraction focused on specified factors including data source, built environment attributes, unit of analysis, and type of walking. The results identified both similarities and differences in the influence of built environment attributes on walking behavior in Malaysia compared to global patterns. Micro-scale factors, such as the aesthetics and attractiveness of walkways (65%), and safety and security (59%), were found to be leading factors in creating walking-friendly environments. Conversely, macro-level attributes, including density (15%) and mixed land use (18%), did not show a significant impact. This reliance on perceived assessments may struggle to capture the complexity of actual density and diversity, leading to inconsistent results. However, data collection and analysis approaches require further refinement. Future Malaysian research may prioritize the use of GIS-based walkability indexes to comprehensively measure walkability and improve the validity and accuracy of assessments. Additionally, consideration should be given to the regional transferability of these indexes.

Local planning scenario for shading from trees as an urban nature-based solution

With more than 75% of the European Union’s population living in urban areas covering 21.5% of the EU territory, the importance of climate-resilient cities, towns and suburbs has increased dramatically. However, the rising impact of human-induced land-use changes on ecosystem services (ES) poses a major challenge to the urban environment. This study focuses on scenario development for nature-based solutions (NbS) in a European town with its intense development area. The concept is exemplified in a town in Croatia, Grad Velika Gorica (GVG), that like many others cities undergoes urbanisation processes with limited resources. It serves as a showpiece for the influence of NbS, in particular street trees along various paths.Using spatial analysis and modelling, the approach explores NbS for future urbanisation. The results, supported by quantitative analysis, show that 49% of cycle lanes and footpaths in GVG can be shaded by strategically planted street trees. The shading scenario analysis provides a nuanced perspective on the potential of NbS, offering insights into the key tasks for a climate-resilient city and opportunities towards equitable, green and healthy urban areas.In the context of urbanisation processes and climate adaptation, the study is in line with the overarching objectives of the European Commission which emphasises the need for sustainable NbS alternatives to address environmental challenges. The findings contribute to the framework of informed decision-making towards urban climate resilience. It also supports the pursuit of a sustainable local governance for climate-adjusted environmental quality in urban planning. As towns and cities grapple with the imperative of balancing urban development with environmental protection, this research highlights the central role of NbS, particularly street trees, in shaping climate-resilient and more sustainable urban environments for human well-being in cities.

Assessing the land use dynamics and thermal environment using geospatial techniques in the industrial city of Chotanagpur Plateau Region, India.

The phenomenon of urban heat island (UHI) is characterized by industrial, economic development, unplanned and unregulated land use as well as a rapid increase in urban population, resulting a warmer inner core in contrast to the surrounding natural environment, thus requiring immediate attention for a sustainable urban environment. This study examined the land use/land cover (LULC) change, pattern of spectral indices (Normalized Difference Vegetation Index, NDVI; Normalized Difference Water Index, NDWI; Normalized Difference Built-up Index, NDBI and Normalized Difference Bareness Index, NDBaI), retrieval of land surface temperature (LST) and Urban Thermal Field Variance Index (UTFVI) as well as identification of UHI from 2000 to 2022. The relationship among LST and LULC spectral indices was estimated using Pearson's correlation coefficient. The Landsat-5 (TM) and Landsat-8 (OLI/TIRS) satellite data have been used, and all tasks were completed through various geospatial tools like ArcGIS 10.8, Google Earth Engine (GEE), Erdas Imagine 2014 and R-Programming. The result of this study depicts over the period that built-up area and water bodies increased by 119.78 and 35.70%, respectively. On the contrary, fallow and barren decreased by 55.33 and 32.31% respectively over the period. The mean and maximum LST increased by 3.61 °C and 2.62 °C, and the study reveals that a high concentration of UTFVI and UHI in industrial areas, coal mining sites and their surroundings, but the core urban area has observed low LST and intensity of UHI than the peripheral areas due to maintained vegetation cover and water bodies. An inverse relationship has been found among LST, NDVI and NDWI, while adverse relationships were observed among LST, NDBI and NDBaI throughout the period. Sustainable environment planning is needful for the urban area, as well as the periphery region and plantation is one of the controlling measures of LST and UHI increment. This work provides the scientific base for the study of the thermal environment which can be one of the variables for planning of Asansol City and likewise other cities of the country as well as the world.

An Ontological Model to Enhance Traffic Conditions in Smart City Domain

The rising trend of the increasing interconnection of city services refers to the growing integration and interconnectedness of various urban systems and services through the utilization of technology and data. One of the primary objectives of smart city initiatives is to establish more efficient and sustainable urban environments by optimizing resource utilization and infrastructure. In this paper, we introduce a traffic ontology named "TrafCsOnto," which encompasses a comprehensive range of traffic concepts. The primary aim of this ontology is to address traffic congestion issues within the smart city context. The formalization of this ontology has been carried out using the OWL language and the protégé tool. We endeavor to illustrate the practical application of the traffic ontology through the manipulation of real-world instances and inferences.

Resident demand-oriented selection and spatial layout strategy for public sports facilities

In response to elevated living standards and evolving recreational values, public sports facilities have become a focal point. This study, targeting the central districts of Yiyang City across 17 neighborhoods, integrates questionnaire surveys, in-depth interviews, and geographic information system analysis to address the diversified needs in sports infrastructure. It reveals a discrepancy characterised by uniform facility types and flawed layouts, notably in Heshan and Ziyang, that fail to satisfy the diversified demands of residents. Consequently, the research introduces a bottom-up strategy, emphasising the need for facility selections and spatial layouts informed by community needs. Furthermore, it highlights the importance of demographic factors such as age, income, and education in guiding facility placement strategies to accommodate a broad spectrum of users. By doing so, the study contributes a novel, resident-focused framework to the discourse on public sports facilities, promoting sustainable and inclusive urban sports environment development.

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

The integration of remote technology into the construction industry has advanced the emergence of smart, self-learning infrastructure across all levels of land transportation design and development. However, energy harvesting capabilities for smart road ventilation purposes have not yet been fully researched as the world gravitates towards energy sustainability. This study thus presents a mathematical investigation of the self-draining design potentials of road pavements, leveraging on energy absorption and conversion to accelerate conductive and convective ventilation of these pavements during wet conditions, as a means of ensuring the skid resistance and safety of such pavements are not compromised. Applying numerical methods with the aid of commercial software code MATLAB®, the classical physics of fluid-surface interaction was used to model accelerated drainage of microflood off paved surfaces through methodical modification of the thickness of the boundary layer associated with the flow regime over the flat road surface. Results indicate significant influences of energy exchange, thermal, and viscous diffusivity on flow acceleration. Alterations in parameters such as the slip factor, thermally induced Brownian motion or phoretic characteristics of the fluid particles at the boundary induce accelerated flow at the surface of the pavement. The findings contribute to the advancement of smart infrastructure by offering practical insights into the potential benefits of integrating energy-harvesting technologies into road pavement systems. By optimizing flow acceleration mechanisms, smart pavements can play a crucial role in improving road safety and sustainability in urban environments.

Urban energy transition in renewable energy management considering policy and law challenges and opportunities in the pursuit of clean and sustainable urban environments

This research presents a novel approach to enhance sustainable energy development based on wind turbine (WT) output power prediction through the development of a hybrid deep learning model, considering policy and law challenges associated with the problem. The proposed model integrates a Self-Supervised Generative Adversarial Network (GAN) with Attention-based Recurrent Neural Networks (RNNs). The Self-Supervised GAN contributes to improved feature representation learning, while Attention-based RNNs capture temporal dependencies for accurate WT output power forecasting considering political challenges. Additionally, a Modified Adaptive Flower Pollination Algorithm (AFPA) is introduced to optimize the selection of the GAN model structure in view of the legal and political objectives. This adaptive approach refines the architecture of the GAN, enhancing its ability to generate realistic and informative features for the subsequent Attention-based RNNs. The efficacy of the hybrid model is demonstrated through real-world applications in an urban area, emphasizing sensitivity and stability analyses. A thorough investigation into the sensitivity of key model parameters, including the number of hidden units in the Attention-based RNNs and GAN structures, is conducted to fine-tune the model's performance. Stability analysis is employed to assess the robustness of the proposed method under dynamic conditions, ensuring its reliability in practical scenarios. Results indicate that the hybrid model, guided by the Modified AFPA, outperforms existing approaches in WT output power prediction. The proposed methodology showcases the significance of combining state-of-the-art deep learning techniques with adaptive optimization algorithms for accurate and stable predictions in urban energy management applications.

The Impact of Urban Green Spaces on Community Health and Well-being

Purpose: This study sought to investigate the impact of urban green spaces on community health and well- being. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of urban green spaces on community health and well- being. Preliminary empirical review revealed that urban green spaces played a crucial role in enhancing the health and well-being of urban communities. Through a comprehensive review of literature and empirical evidence, the study found that green spaces positively influenced physical, mental, and social well-being. Access to green spaces was associated with increased physical activity levels, improved mental health outcomes, and enhanced social cohesion among residents. These findings underscored the importance of prioritizing investments in green infrastructure and ensuring equitable access to green spaces for all urban residents to promote healthier and more sustainable cities. Unique Contribution to Theory, Practice and Policy: Biophilia Theory, Attention Restoration Theory and Social Determinants of Health Theory may be used to anchor future studies on the impact of urban green spaces on community health and well- being. The study offered offered valuable recommendations that contributed to theory, practice, and policy. It provided empirical evidence supporting theories like Biophilia and Attention Restoration, advocating for the integration of green spaces into urban environments. The recommendations emphasized equitable access to high-quality green infrastructure, community engagement in planning processes, interdisciplinary collaboration, and continued research and monitoring efforts. These recommendations aimed to inform evidence-based decision-making, promote community health and well-being, and create sustainable and resilient urban environments.