Search Results (48)

Several studies in the literature have emphasized that public open spaces, such as recreational parks in residential neighborhoods, play a crucial role in enhancing social interaction among residents. As such, access to these parks is a key factor that may influence their use and, in turn, affect the quality of social engagement within the community. Traditional approaches to park accessibility, which focus solely on physical distance, have notable limitations, as proximity alone does not reliably predict park usage. Therefore, physical accessibility should be complemented by assessments of perceived or psychological accessibility. This study is designed to propose a framework for enhancing social interaction through improved access to recreational parks in the residential neighborhoods of the Dammam Metropolitan Area (DMA). It employs a mixed-methods approach comprising two primary methodologies: (1) observational behavioral mapping to identify key influencing factors based on user activities within the selected case study areas, and (2) an end-user questionnaire survey analyzed through inferential statistics, specifically Analysis of Variance (ANOVA), to assess residents’ perceptions of park accessibility and social interaction. The results indicate that adequate park maintenance significantly improves physical accessibility, while elements such as safety are essential for fostering psychological comfort. The ANOVA results yielded an F-value of 4.72 and a p-value of 0.00, confirming a statistically significant effect of the park’s physical features on facilitating social contact among local residents. The study presents a framework that integrates key demographic and social factors influencing park usage, advocating for infrastructure improvements aligned with user perceptions to foster greater community engagement. It highlights that addressing psychological barriers is just as important as making physical enhancements to achieve effective park accessibility. By combining physical design, demographic insights, and user experiences, the framework serves as a practical guide for planning inclusive and socially responsive public spaces. This research contributes to the fields of urban planning, social sustainability, and environmental psychology by offering localized insights and practical tools for implementation. Future research is recommended to further refine urban strategies that promote equitable access to recreational parks, particularly by addressing demographic-specific needs and psychological barriers that influence social interaction in open spaces. Full article

Agricultural terraces are critical landscape elements that promote sustainable rural development by enhancing water retention, mitigating soil erosion, and conserving cultural heritage. In northeastern Türkiye, particularly in the mountainous Erikli neighborhood of Uzundere, traditional terraces face growing threats due to land abandonment, topographic fragility, and socio–economic decline. This study applies a spatial–functional assessment framework that integrates UAV–based photogrammetry, GIS analysis, terrain modeling, and DBSCAN clustering to evaluate terrace conditions. UAVs provided high–resolution topographic data, which supported the delineation of terrace boundaries and morphometric classification using an adapted ALPTER model. A combined Terrace Density Index (TDI) and Functional Status Index (FSI) approach identified zones where terraces are structurally intact but functionally degraded. Results indicate that 76.4% of terraces fall within the meso and macro classes, yet 58% show partial or complete degradation. Cohesive terrace clusters are located near settlements, while isolated units in peripheral zones display higher vulnerability. This integrated approach demonstrates the analytical potential of drone–supported spatial diagnostics for monitoring landscape degradation. The method is scalable and adaptable to other terraced regions, offering practical tools for site–specific land use planning, heritage conservation, and resilience–based restoration strategies. Full article

This study presents a methodology for estimating the carbon footprint of urban neighborhoods as a necessary step in proposing and evaluating potential GHG reduction measures to enhance the sustainability of cities. Additionally, this method has been applied to Benicalap, a district in Valencia, Spain. This research employs the Datadis, QGIS, and HOMER tools to assess emissions across Scopes 1, 2, and 3. Tailored mitigation strategies are proposed, primarily focusing on reducing emissions in Scopes 1 and 2. While previous studies have extensively examined CO₂ emissions at broader geographic scales, like nations, regions, and cities, this study emphasizes the importance of neighborhood-level analysis to address localized environmental challenges effectively. The results reveal that Benicalap’s emissions contribute 28.69 ktCO₂ (15.56%) to Scope 1, 13.71 ktCO₂ (7.43%) to Scope 2, and 142 ktCO₂ (77%) to Scope 3. By 2030, targeted interventions could reduce emissions from Scopes 1 and 2 by 19,885 ktCO₂, representing a 50.69% reduction. Among the proposed measures, sustainable transportation improvements and photovoltaic deployment stand out, contributing to 25.39% and 24.87% of the reduction, respectively. Enhancements in public lighting and nature-based solutions would offer a minor decrease of 0.43%. These insights underscore the need for strategic, localized interventions to achieve meaningful emission reductions and support sustainable urban development efforts. Full article

Confronted with the climate emergency, reducing CO₂ emissions has become a priority for all nations of the world because the follow-up of humanity depends on it. Most European Union (EU) member states have pledged to cut their net greenhouse gas emissions by at least 55% by 2030 and reach full carbon neutrality by 2050, using 1990 as the baseline year. Despite this common effort, there is still a lack of effective decision-making on carbon neutrality strategies applied throughout the life cycle of a building in all EU countries. A common strategy is proposed in this study to fill this gap in the literature. The building sector is a real lever for reducing the carbon footprint and saving energy. Currently, the methodology for achieving large-scale carbon neutrality is well established. However, there is only a limited number of experts worldwide who have mastered this technology, making it challenging to develop a standardized approach for all nations. The absence of extensive, regular, and consistent data on carbon emissions has considerably hindered the understanding of the root causes of climate change at both the building and neighborhood levels. Is it not it time to break this barrier? With this in mind, this study was carried out with the intention of proposing a common method to achieve carbon neutrality at the neighborhood scale in European Union countries. The most significant parameters having a direct impact on carbon emissions have facilitated the adaptation of the three types of neighborhood in the different capitals of the EU countries, in particular, local building materials, microclimate, the energy mix of each country, and the mode of daily transport. The life cycle assessment of the three districts was conducted using the Plaides LCAv6.25.3 tool in combination with Meteonorm software version 8.2.0, considering a 100-year lifespan for the buildings. In addition, the cost of the various environmental impacts is assessed based on the monetary indicators for European Committee for Standardization indicators method. The main results showed that the distribution of carbon dioxide is 73.3% higher in urban areas than in sustainable neighborhoods and 39.0% higher in urban districts than in rural districts. Nearly zero emissions in the next decade are again possible by applying the scenario involves global warming combined with the complete (100%) renovation of all buildings and the transition to 100% electric vehicles along with the use of solar panels. This strategy makes it possible to reduce between 90.1% and 99.9% of the emission rate in residential districts regarding EU countries. Full article

Neighborhood facilities received global attention in sustainability implementation because they meet the daily needs of residents and represent the relationship between them, neighborhoods, and cities. This study aims to reveal the factors influencing sustainable facilities in Chinese neighborhoods under rapid urbanization through a systematic review of relevant empirical studies and the Chinese context. This review looks through the Scopus and WoS databases for 59 papers published between 1981 and 2025 on the implementation of sustainable neighborhood facilities; additional evidence was collected from neighborhood sustainability assessments (NSAs) conducted around the world and China’s current relevant regulations in neighborhood facilities for the literature review. The findings indicate that the influencing factors of sustainable neighborhood facilities are an intersubjective structure of providers, recipients, and coordinating mediators. This study extends the current knowledge and literature on sustainable neighborhood facilities and deepens our understanding of how sustainability implementation standards and decision-making influence these facilities to improve livability in China. Meanwhile, it also provides a perspective on four aspects, including the compilation of influencing factors, the development of assessment tools, the categorization assessment, and the development of a framework of sustainable neighborhood facilities in China. In addition, it further enriches sustainable cities and neighborhoods in applications worldwide. Full article

Currently, urban development has entered the stage of renewal and transformation. Energy transition is an important trend for sustainable urban development, and the assessment of solar energy potential in old residential areas in cold regions is of great significance. This study selects 47 old residential communities in Jinan, a cold region of China, as case samples. Using clustering algorithms based on spatial form characteristic parameters, the study divides the samples into five categories. The study then uses the Ladybug tool to simulate the distribution and total solar energy utilization potential of buildings in the five categories and analyzes the correlation between eight spatial form parameters and building solar energy potential. A linear regression model is established, and strategies for the application of BIPV in community buildings are proposed. The study finds that factors such as plot ratio, building density, open space ratio, volume-to-surface ratio, and form coefficient have a significant impact on the solar energy potential of residential communities; the p-values are −0.785, −0.783, 0.783, −0.761, and 0.724, respectively. Among these, building density (BD) is the most crucial factor affecting the solar energy potential of building facades. Increasing by one unit can reduce the solar energy utilization potential by 28.00 kWh/m²/y. At the same time, installing photovoltaic panels on old residential buildings in cold regions can reduce building carbon emissions by approximately 48%. The research findings not only provide methodological references for photovoltaic technology application at varying neighborhood scales in urban settings but also offer specific guidance for low-carbon retrofitting of aging urban communities, thereby facilitating progress in urban carbon emission reduction. Full article

Introduction. The global challenge of physical inactivity necessitates innovative approaches and strategies to optimize built environments in order to promote healthy and sustainable lifestyles, such as active transportation. For this reason, walkability is a crucial area of research in urban health, with several studies focusing on assessment frameworks. However, a gap persists between theoretical development and practical implementation. This study explores the application of the Milan Walkability Measurement Tool (MWM-Tool), a walkability assessment framework previously developed by Politecnico di Milano, to evaluate the urban features in favor of walkability by integrating GIS technology with an extended testing scope. It is based on a scientific approach utilizing 10 sub-indicators divided into three macro-areas (Density, Diversity, Design), identified through a comprehensive literature review. Method. Focusing on the application of the MWM-Tool in Milan, the study employs the 88 Nuclei of Local Identity (NILs), which are the official designations for Milan’s neighborhoods, as the units of urban analysis. Based on previous experience, the digitalization of the assessment framework has been improved: geospatial data corresponding to 10 sub-indicators were filtered to generate vector layers, primarily sourced from two public geographical platforms. The GIS-based method produces thematic maps evaluating all neighborhoods according to the dimensions of Density, Diversity, and Design. Darker and lighter colors represent the range of the scores. Both single indicators and macro-area maps, as well as overall walkability level maps, were generated to illustrate the results. Result. The results of the macro dimension assessment, combining 10 sub-indicators, provide an objective view of the distribution of walkable space quality in Milan. Only 7 out of 88 neighborhoods achieved the highest score, all of which are located in the city center, while suburban areas showed significantly lower scores. By incorporating census GIS data, the study also identified the population distribution across areas with varying walkability levels. Based on the results of the assessment, it may be possible to develop and prioritize the optimization of walkable features, revitalizing underserved areas and fostering a healthier community environment. Conclusion. The georeferenced-data maps represent an effective tool to highlight both neighborhoods with high urban quality, which could be used to promote active mobility and healthy lifestyle adoption, as well as those requiring improvement strategies from policy and decision makers. The research output provides a reference for further urban planning initiatives in Milan and contributes to enhancing pedestrian-oriented built environments. Using GIS open-source data, the method is scalable and can be easily replicated in other cities. It could also be used as a system for monitoring walkability over time. Full article

The physical characteristics of urban spaces play a role in outdoor social interactions, which are considered crucial for promoting social sustainability; however, the spatiality of social outdoor activities in neighborhood urban spaces is less investigated. To address this gap, four neighborhoods of varying urban tissue patterns in Erbil City were selected for detailed investigation. The social context of outdoor social activities as a framework consisting of three components—physical form features, uses (activities), and users—was suggested for assessing the socio-spatial characteristics of outdoor social activities. Data were collected through direct observation. ArcGIS Pro’s visualization tools, the Kernel density geoprocessing tool, and SPSS v27 were used to map the spatial distributions of outdoor activities, and their centers of formation across urban spaces illustrated in topographic density maps. A total of 3565 outdoor activities conducted by 7134 users were recorded. The findings indicate significant differences in the density and intensity of activity types, gender associations with urban form characteristics, strong relationships between land use and outdoor social activities, and concentrations of activity centers in areas of mixed land use. The study also reveals the absence of elderly individuals, high populations of children in older cases/areas, significant associations with gender, an even distribution of females and males in traditional organic urban tissue, and the presence of females in spaces with lower connectivity and greater privacy. This study provides valuable insights into urban planning, focusing on the spatiality of outdoor social activities, integrating intersubjective and objective spatiality, and understanding the built environment’s influence on urban life by revealing socially desired urban form characteristics. Full article

Improving microclimate conditions is a pivotal aspect of urban design, particularly in hot, arid climates, where it directly influences outdoor comfort, mitigates the urban heat island (UHI) effect, and reduces the indoor cooling energy demand. The objective of this study is to quantitatively assess the impacts of neighborhoods’ urban size when combined with compact streets’ geometry regarding the outdoor thermal comfort generated in a typical vernacular settlement of the Saharan region of Algeria. The Ksar of Al-Atteuf in the city of Ghardaïa is taken as a case study. The related interior thermal conditions of buildings assumed to be potentially affected by the urban morphology are also examined. To study the effectiveness of the two urban morphology parameters (i.e., urban size and compactness) on outdoor and indoor thermal conditions, a mixed methods approach was adopted, integrating in situ climatic measurements and dynamic simulations. Indoor temperatures were examined in a traditional house located in the core of the Ksar. Year-round operative temperature (OT) simulations were achieved using the Ladybug tool within Grasshopper, and they were complemented by the Universal Thermal Climate Index (UTCI) values calculated during peak hot and cold weeks. Furthermore, a parametric analysis was conducted, focusing on the thermal performance of the compact urban fabric by varying progressively the neighborhood sizes from 20 m, 40 m, and 60 m. The results indicate stable indoor thermal conditions across the monitored residential building, which suggests that the architectural envelope is closely affected by its immediate surroundings. On the other hand, the UTCI analysis revealed significant differences in outdoor thermal comfort since the larger urban area provides better mitigation of heat stress in summer and cold stress in winter, the improved outdoor thermal conditions generated at the neighborhood level, being proportional to the size of the urban area. The findings underscore the value of compact urban fabrics in creating climate-responsive built environments and provide further insights into sustainable urban planning and energy-efficient design practices in hot, arid regions. Full article

Positive Energy Districts (PEDs) represent an innovative approach to thinking and designing cities sustainably, in compliance with the European Union energy strategy. This strategy integrates sectors such as urban planning, energy, and construction to synergistically address energy and environmental challenges. Studies on sustainability assessment systems applied in PEDs evidenced that they focus mostly on energy aspects, while few include a comprehensive life cycle assessment of equivalent CO₂ emissions, considering the building component and the impacts of the materials used. Additionally, most assessments are conducted on the urban and district scale, such as Neighborhood Sustainability Assessments (NSA), which begin to correlate PEDs with the dynamics of selecting sustainable materials for green-certified projects, analyzed throughout the entire life cycle, relying on the adoption of Green Building Rating Systems (GBRS) at the building scale. To explore the impact of environmentally friendly (i.e., ‘green’) GBRS certifications in the selection of building materials and products according to sustainability criteria, and to encourage their use in projects explicitly referring to PEDs, this study analyzes the technical solutions implemented in two significant residential building renovation projects in Italy from a PED perspective. It proposes a classification system based on the required targets of energy efficiency, energy production, and energy flexibility. The results include the definition of an expandable portfolio of technical solutions, an analytical comparison between the materials used in the energy renovation projects of the case studies examined, and the sustainability criteria provided by voluntary ’green’ certification tools (GBRS). The collected evidence offers an operational framework that confirms the positive impact of GBRS certifications and the related selection of materials on sustainable urban development, contributing to the scientific debate on PEDs. Furthermore, the use of voluntary ’green’ certifications at the building scale can be encouraged in the context of the transition towards PEDs, aiming to identify specific criteria and indicators for the selection of building materials to be integrated into future PED certifications. This aims to contribute to creating energy self-sufficient urban areas, focusing on sustainability, efficiency, and innovation, in line with global emission reduction and climate change mitigation goals. Full article

Circular Economy (CE) and circular cities are recognized as essential approaches for achieving sustainability and fostering sustainable urban development. Given the diverse definitions and principles, multidimensional complexities, and lack of a comprehensive list of CE indicators, this study aims to propose an innovative method for identifying macro-level indicators to assess urban circularity. This methodology combines a systematic literature review (SLR) with advanced machine learning (ML) and natural language processing (NLP) techniques. A multi-algorithmic approach, incorporating BERT, TF-IDF, Word2Vec, graph-based and clustering models, is employed to extract a comprehensive set of indicators from reputable scientific articles and reports to compare frequency and similarly based on each model. The overlap and accuracy of results from these five methods are analyzed to produce a refined list of indicators with high precision and alignment with core CE principles. This curated collection serves as a valuable tool for policymakers, urban planners, and designers, enabling the prediction of future trends in urban circularity. Additionally, it provides guidance for research and practical projects at various scales, from buildings and neighborhoods to entire cities, facilitating a more precise assessment of sustainability and circularity in modern urban environments. Full article

This article analyzes the service distribution imbalance within the Metropolitan District of Quito (DMQ) and its impact on urban mobility, aiming to propose strategies for more equitable territorial planning. The data were gathered from sources such as the National Institute of Statistics and Census (INEC), the Ministry of Health, the Ministry of Education, and OpenStreetMap. These data were integrated with GIS tools to model patterns of accessibility and mobility. Through a comprehensive approach, the study assessed education, banking services, employment, and healthcare, identifying how inequitable access to these services drives increased travel demand, especially in rural and peri-urban areas. In the education field, over 500 neighborhoods faced a shortage of institutions, compelling students to commute to other neighborhoods. For financial services, only 67% of neighborhoods had adequate access, with disparities across different socioeconomic zones. Additionally, employment-related mobility posed another challenge, with 88% of workers commuting outside their residential parish. Finally, access to healthcare was also unequal across the DMQ, particularly in peripheral areas where residents must travel long distances. In this context, it can be concluded that more efficient urban planning in the Metropolitan District of Quito (DMQ) is crucial to address imbalances in the distribution of services and enhance quality of life. Proposed strategies include establishing a land reserve, decentralizing services to underserved areas, integrating smart technologies, and promoting incentives for remote work, sustainable mobility, and public transport. These actions aim to foster greater territorial equity and accessibility. Full article

The need for energy efficiency in neighborhood-scale architectural design is driven by environmental imperatives and escalating energy costs. This study identifies three key phases in a design process framework where machine learning can be applied to optimize energy consumption in early design stages. The overall framework integrates machine learning tools into the design workflow, enhancing design exploration from concept level and enabling targeted energy assessments. This paper focuses on the first phase (Phase 1) of the framework, which employs machine learning for building energy forecasting using only the few inputs available in a business-as-usual early-stage design workflow. The CatBoost model was selected for its high accuracy in predicting energy consumption using minimal input data. A preliminary application to a case study in New York City showed high predictive accuracy while reducing the input needed, with R² scores of 0.88 for both cross-validation and test datasets. Shapely additive explanation analysis validated the selection of key influencing parameters such as building area, principal building activity, and climate zones. The test demonstrated discrepancies between the test data-driven model and a physics-based energy model values ranging from −8.69% to 11.04%, which can be considered an acceptable result in early-stage design. The remaining two phases, though outside the scope of this study, are introduced at a conceptual level to provide an overview of the full framework. Phase 2 will analyze building shape and elevation, assessing the total energy use intensity, while Phase 3 will apply district-level energy optimization across interconnected buildings. The findings from Phase 1 underscore the potential of machine learning to integrate energy efficiency considerations into neighborhood-scale design from the earliest stages, providing reliable predictions that can inform sustainable design. Full article

Continuous changes in society and the need for sustainable development demand updates in designing better built environments to respond to the variety of user needs. Notwithstanding the growing interest of research and the introduction of guidelines and standards on inclusion, diversity, equity, and accessibility, there are still several limitations in effectively and efficiently embedding such principles for the design of buildings and neighborhoods. Previous research demonstrated the critical need for innovative tools and methods to support professionals in designing responsive, inclusive spaces for an extended range of users. This article reports the results of a pilot study using the new IDEA Audit Tool for assessing how inclusion, diversity, equity, and accessibility are perceived by building occupants in a specific facility. The analysis of significant data provided by this study shows the challenges and highlights the benefits of the tool, including fostering an evidence-based decision-making process, speeding up the prioritization of critical design improvements, demonstrated through a six-month trial with a London-based inclusive design firm. The research-driven outcomes showcase the huge potential that the tool offers to improve the company strategy while evolving towards more inclusive, accessible spaces that foster diversity and equity, and has the potential to be replicated in several fields of action to raise awareness and improve the application of IDEA principles in all phases of the design process. Full article

In a global context, the identification of frameworks and assessment tools for achieving sustainable development requires the study of urban sustainability at different scales. While sustainability can be quantified more precisely on a larger scale, it is challenging to adapt these accounting techniques to smaller sites. Measuring becomes more challenging when researching urban sustainability from several viewpoints, especially when constructing an acceptable set of measurements while taking into account the several issues of the unique decision-making apparatus from theoretical and geographical perspectives. Which sorts of indicators should be prioritized above others? How many indicators should be used? Which criteria should be employed to choose the best indicators for the location of interest? This study addresses the aforementioned research problems by proposing a systematic, multidirectional approach to defining an adequate collection of indicators for sustainability accounting in urban situations. A top-down strategy, which provides a literature study to identify regularly used indicators in essential sustainability categories, is joined by a bottom-up approach, which creates indicators based on real-world circumstances. The combination of these two methodologies seeks to produce a set of relevant sustainability measurements. A neighborhood rehabilitation project for public housing in Le Lignon (Switzerland) serves as a pilot case for calibrating the proposed multidirectional technique. The final findings can support the public and private parties involved in sustainable urban planning procedures in assessing urban projects based on location-specific features. Full article