Search Results (55)

Urban blue–green space (UBGS) plays a critical role in mitigating the urban heat island (UHI) effect and reducing land surface temperatures (LSTs). However, existing research has not sufficiently explored the optimization of UBGS spatial configurations or their interactions with urban morphology. This study takes New York City as a case and systematically investigates small-scale urban cooling strategies by integrating multiple factors, including adjustments to the blue–green ratio, spatial layouts, vegetation composition, building density, building height, and layout typologies. We utilize multi-source geographic data, including LiDAR derived land cover, OpenStreetMap data, and building footprint data, together with LST data retrieved from Landsat imagery, to develop a prediction model based on generative adversarial networks (GANs). This model can rapidly generate visual LST predictions under various configuration scenarios. This study employs a combination of qualitative and quantitative metrics to evaluate the performance of different model stages, selecting the most accurate model as the final experimental framework. Furthermore, the experimental design strictly controls the study area and pixel allocation, combining manual and automated methods to ensure the comparability of different ratio configurations. The main findings indicate that a blue–green ratio of 3:7 maximizes cooling efficiency; a shrub-to-tree coverage ratio of 2:8 performs best, with tree-dominated configurations outperforming shrub-dominated ones; concentrated linear layouts achieve up to a 10.01% cooling effect; and taller buildings exhibit significantly stronger UBGS cooling performance, with super-tall areas achieving cooling effects approximately 31 percentage points higher than low-rise areas. Courtyard layouts enhance airflow and synergistic cooling effects, whereas compact designs limit the cooling potential of UBGS. This study proposes an innovative application of GANs to address a key research gap in the quantitative optimization of UBGS configurations and provides a methodological reference for sustainable microclimate planning at the neighborhood scale. Full article

Neighborhoods with high-quality built environments and social environments are associated with older adults’ well-being. However, research on the complex interplay of neighborhood types and health outcomes is limited, as is the role of functional limitations. This study aims to: (1) identify neighborhood types, (2) explore the association of neighborhood type and older adults’ health, and (3) assess whether functional status affects this association. We merged data from the 2017 AARP Age-Friendly Communities Surveys and the Livability Index. Our sample included 3211 adults aged 65 and older; the majority (59%) were female. Participants identified as non-Hispanic White (81%), Hispanic (8%), Black (6%), and a member of another racial/ethnic group (2%). Employing latent class analysis, we identified a four-class model of neighborhood types: “Connected yet Limited Services”, “Service Integrated”, “Healthy Environment Zones”, and “Supportive Social Engagement”. Older adults in “connected yet limited services” and “service-integrated” neighborhoods had worse self-rated health than those in “supportive social engagement” neighborhoods, especially among those who reported functional limitations. Our findings indicate that older adults with functional limitations particularly benefit from neighborhoods with robust health support and social engagement opportunities, highlighting the importance of designing inclusive and adaptable age-friendly environments to address diverse and changing needs. Full article

Previous research has established that vegetation can significantly improve air quality. However, numerical simulations examining the purification effects of vegetation on air pollutants at the neighborhood scale remain limited, particularly regarding different neighborhood typologies. This study detailed the vegetation, buildings, and pollution emissions within neighborhoods by combining high-resolution imagery with field surveys. Then, a computational fluid dynamics model—validated through field monitoring—was used to design two scenarios to simulate and evaluate the air-purifying effects of vegetation in two typical Beijing neighborhoods. The simulation results were also well validated by the trial-and-error method compared with the computation of vegetation absorption coefficients. Findings indicated that in the Dashilar Traditional Hutong Community, vegetation contributed to reductions of 2.39% in PM_2.5 and 3.35% in CO, whereas in the east campus of Beijing University of Technology Pingleyuan, reductions were more substantial, reaching 10.07% for PM_2.5 and 8.21% for CO. The results also showed that the size and configuration of green patches directly influence PM_2.5 purification efficiency, with consolidated green areas outperforming scattered patches in particle absorption and deposition. Additionally, extensive vegetation near high-rise buildings may not yield the intended purification benefits. These findings provide a robust scientific basis for sustainable urban planning practices aimed at enhancing air quality. Full article

Urban sprawl and brownfields are recognized as the main challenges for sustainable land use in post-industrial cities. Using a mixed methodology (GIS and interviews), this research aimed to examine the relationship between the redevelopment process of former Soviet military brownfields and urban sprawl in Hungary. Research findings highlighted the overall importance of the regeneration of military brownfields in urban development; however, not all the assessed projects appeared to be beneficial to densification objectives. We could identify two groups of brownfields lying within the boundaries of the compact city and outside the boundaries. The regeneration of military brownfields embedded in the built-up areas of cities can contribute to densification objectives and attract new functions and residents to abandoned areas. They can also support wider regeneration strategies of local governments, especially in run-down neighborhoods. However, a large number of military brownfields are located on the peripheries of metropolitan areas. The regeneration of such sites, as demonstrated by the case studies, can play a catalyst role in urban sprawl. Therefore, it is important to emphasize that local municipalities should make a careful strategic selection of military brownfield sites for redevelopment based upon their characteristics and location, as supported by the typology presented in this study, together with locally perceived socio-economic and risk factors. Full article

In Brazil, social housing is standardized into two-bedroom units, even when the beneficiary families have been previously identified. In Portugal, despite standardization, housing projects have adopted the concept of evolutionary housing. These are flexible proposals with typological diversity, allowing for a variety of family arrangements. While numerous studies analyze the quality of Brazilian housing projects, few of these studies have directly influenced the reality of the projects implemented. Thus, this study seeks to identify clear and objective parameters that can be applied to the design of social housing projects in Brazil. The evaluation of evolutionary social housing projects used in the resettlement process of Lisbon social neighborhoods was based on the housing program developed by the Laboratório Nacional de Engenharia Civil of Portugal. The findings consist of reference percentages indicating the necessary increases in minimum areas, according to the adopted housing typology, to enable project evolution. By systematizing design practices, this study aims to contribute to the dissemination and application of flexibility as a requirement in the conception of social housing proposals in Brazil, improving the ability to meet residents’ needs and enhancing the quality of life for the most vulnerable populations. Full article

As China’s urbanization progresses, the urban heat island (UHI) effect has become more pronounced, impacting the health of residents and the activity intentions of visitors within historic urban areas. This study focuses on the historic district of the Three Lanes and Seven Alleys Tourist Area (SFQX) in Fuzhou, where simulations were conducted on four representative streets across various times during a typical summer meteorological day. Typological methods were employed to simplify neighborhood modeling, and Phoenics software was utilized to simulate the neighborhood’s wind environment and the outdoor pedestrian thermal comfort index. Aspect ratio (AR), sky view factor (SVF), air velocity (Va), and universal thermal climate index (UTCI) values at specific locations were collected for statistical analysis. The findings reveal that: (1) the N–S orientation exhibits more significant correlations between Va, the UTCI, and street geometry compared to the E–W orientation; (2) the relationship between SVF and the UTCI fluctuates with time; (3) areas with higher AR values, such as medium and deep canyons, offer better thermal comfort for outdoor pedestrians; and (4) at 8:00, the UTCI and wind speed show minimal correlations with street geometry and direction, being predominantly influenced by objective climatic factors. These insights are expected to significantly inform the geometric design and planning of streets in Fuzhou’s historic districts, aiming to create more comfortable outdoor environments for inhabitants and visitors alike. Full article

Many cities are looking to adopt nature-based solutions (NBS) in greenspace to manage urban flooding and provide diverse co-benefits. Yet little research exists to inform the planning and design of park NBS. This study investigated NBS adoption in 58 public parks across major U.S. cities, using a 2022 survey by the Trust for Public Lands and other secondary datasets. We developed a typology to conceptualize a wide range of park NBS into five high-level categories by size/capacity, location of the gray–green spectrum, and design objectives. We then employed this typology to explore how a park’s adopted NBS types may relate to its landscape and sociodemographic contexts. We found that the most used type of NBS in the studied parks was ECO (a typology we defined as conserving, restoring, or creating ecosystems to mitigate flooding through ecological processes and functions), while the least used NBS type was ENG (a typology we defined as imitating natural infiltration processes but having no living elements). Further, parks that adopted ECO had significantly higher percentages of greenspace in the surrounding, as well as higher flood risks. We also found notable—though not statistically significant—evidence of potential associations between the type of NBS implementation in a park and its nearby neighborhoods’ income level, poverty, and population racial and age compositions. Moreover, our findings indicated that park visitors were more privileged compared to residents living near a park. We concluded that park contextual factors deserve more explicit consideration in the planning and design of NBS and discussed key implications of this study for practice and future research around park NBS for urban flooding. Full article

We harnessed the analytical power of geospatial analysis and modeling techniques, pioneering a novel approach to studying the spatial distribution of households with at least one senior aged 65 or over, known as senior households (SHHs). We developed and implemented a spatial modeling approach that disaggregates the senior household counts obtained from the U.S. Census block data to residential land parcels. This innovative method models the senior household count on each land parcel, generating a detailed, reliable synthetic microspatial dataset for urban senior studies. Robust spatial analysis techniques are then applied to examine senior household spatial distribution in the context of segregation and access vulnerability in the study area. Our research, conducted in the urban setting of Colorado Springs, provides a deeper understanding of the senior residential landscape and identifies vulnerability. Our research findings are not just academic but also practical tools for planners, policymakers, and community advocates in the city to understand senior residential settlements, segregation, and social inequality. Our adaptable approach can be applied using similar modeling and analysis techniques for different study areas. The synthetic data and its generation approach are valuable resources for future urban senior research, enabling further examinations of different senior residential neighborhood typologies beyond basic demographic and socioeconomic aggregated indicators. They can assist studies interested in analyzing the influence of local factors and neighborhood effects on active aging among individuals, as well as simulating individual senior choices and spatial behaviors. Furthermore, they serve as a comparison baseline for future attempts to develop synthetic senior population data with socioeconomic and health characteristics. Full article

This research focuses on the residential patterns that were traced in Amman in the last decades due to the constant influx of migrants. Therefore, mapping the residential patterns that are emerging was seen important to understand the morphology of the area. A mixed-methods approach was used to identify the typologies emerging into the setting. New residential patterns that called for new strategic thinking were captured and analyzed. Enhancing the new image of “celebrated character” that urges new perception of heterogeneous communities and attracting more sustainable residential attributes towards the neighborhood were the two main outcomes of the study. Full article

Caño Roto (Madrid) is one of the most relevant Spanish post-war architectures. Its typological contributions have already been studied within the framework of the so-called “Led Settlements”. This paper proposes a systematic analysis of the evolution of the neighborhood townscape, its most singular characteristic as a critical approach to the CIAM city project. It starts with the photographic documentation, studied through the methodology established by Gordon Cullen and developed, in a systematic way, by Nigel Taylor. The comparative study includes the original published photographs, a sample of photographs from the 2010s, and the shots taken in a new exhaustive documentation campaign. The comparison yields relevant results on the evolution of urban space definers: building volumes, facade composition, pavements or vegetation, and the presence of people in public areas. Several paths are studied to allow an understanding of the overall landscape structure. As a result, the key elements of the townscape of the settlement are identified and valued. The aim of this paper is to provide tools for the preservation of both the architectural and landscape heritage of Caño Roto. In short, thorough knowledge will help residents to become aware of the heritage value of their neighborhood. Full article

The study of energy consumption in buildings, particularly residential ones, brings with it significant socio-economic and environmental implications, as it accounts for approximately 40% of CO₂ emissions, 18% in the case of residential buildings, in Europe. On a number of levels, energy consumption serves as a key parameter in urban sustainability indicators and energy plans. Access to data on energy consumption is crucial for energy planning, management, knowledge generation, and awareness. Urban Building Energy Models (UBEMs), which are emerging tools for simulating energy consumption at neighborhood scale, allow for more efficient intervention and energy rehabilitation planning. However, UBEM validation requires reliable reference data, which are often challenging to obtain at urban scale due to privacy concerns and data accessibility issues. Recent advances, such as automation and open data utilization, are proving promising in addressing these challenges. This study aims to provide a standardized UBEM validation process by presenting a case study that was carried out utilizing open data to develop bottom-up engineering models of residential energy demand at urban scale, with a resolution level of individual buildings, and a subsequent adjustment and validation using reference tools. This study confirms that the validated GIS-UBEM model heating and cooling demands and consumption fall within the confidence bands of ±15% and ±12.5%, i.e., the confidence bands required for the approval of official alternative simulation methods for energy certification. This paves the way for its application in urban-scale studies and practices with a well-established margin of confidence, covering a wide range of building typologies, construction models, and climates comparable to those considered in the validation process. The primary application of this model is to determine the starting point and subsequent evaluation of improvement scenarios at a district scale, examining issues such as massive energy rehabilitation interventions, energy planning, demand analysis, vulnerability studies, etc. Full article

This paper presents and discusses a quantitative analysis of culture-led urban regeneration initiatives in Italy. It draws on a database of projects built using the filter of the national funding schemes launched between 2012 and 2018. The main objective of the research is to build an overview of the phenomenon of culture-based urban regeneration in Italy, recognizing common trends and recurring dynamics. The projects in the database are analyzed quantitatively on the basis of 28 attributes, taking into consideration different aspects such as the projects’ localization, the typology, dimension and ownership of the spatial assets mobilized, the relationship with public policies, and the scale of actors and networks involved in the projects. The findings show that culture-led regeneration initiatives “like to do it in public”; namely, to achieve their objectives—to “do culture”—they seek to connect with the public sector to receive forms of economic, material, and organizational support, such as public spaces in which to host their activities. Therefore, the interaction with the public administration is interpreted as the sine qua non condition for the success of culture-led urban regeneration initiatives and to ensure that these are able to generate strong and durable impacts on the revitalization and regeneration of distressed urban neighborhoods. Full article

Rapid urbanization across hot arid environments transforms local microclimates, yet linkages between density, layout, and outdoor thermal comfort remain inadequately characterized. This study investigates these correlations in the desert city of Biskra, Algeria. We conducted extensive in-situ measurement campaigns during peak summer and winter periods across six neighborhoods spanning low to high-rise density fabrics. We captured air temperature, humidity, and wind velocity to enable thermal comfort assessment via the Effective Temperature (ET) and Equivalent Temperature (TEK) stress indices. Index sensitivity to density metrics from 23–86% was explored through One-Variable-At-A-Time (OVAT) analysis. Results show marked summer comfort deterioration with rising density due to constrained ventilation. However, higher densities demonstrate superior winter warmth through wind blocking despite reduced sunlight exposure. Sharp nonlinear differences emerge between seasons. Precision density thresholds prove difficult to define conclusively given typological diversities. However, indicative ranges tied to hazards are identified, providing guidelines for informed climatic adaptation. This research delivers vital evidence to advance bioclimatic strategies for enhancing habitability amidst urban expansion across delicate hot deserts. Full article

How did Chicago develop one of the largest and most successful Bicycle Sharing Systems in a very short time, what benefits does this system afford to the city and its residents, and what developments threaten this success? Urban areas benefit significantly and in a variety of ways from micromobility, which contributes to an urgently needed sustainability transformation. In this qualitative, exploratory case study, we examine the foundations of the success and types of benefits of the second largest bicycle sharing system in North America, the City of Chicago’s Divvy. We juxtapose our data, which consists of participant and non-participant observations, fieldwork, interviews, documents, and social media posts, with a typology gleaned from the academic literature on bicycle sharing systems to explore Divvy’s wide-ranging positive impact. This typology includes economic, environmental, health and safety, and quality of life benefits. In addition, we identify two further benefits from our data: modularity and zoetic capacity. Despite this impact, we show how the consequences of changes in the ownership structure since 2018 are threatening the success and benefits. The emerging service model is no longer based on the initial pillars of its success: the city’s policy and vision for Divvy, the funding and ownership structure, and the strategic deployment of bicycle stations to balance demand potential with locational equity. Based on our study, we conclude that it is unlikely that the new micromobility system, refocused on more profitable e-bike and e-scooter rentals in privileged neighborhoods, is viable in the long term because it is abandoning the core values that embedded Divvy into the fabric of the city. Worse, the emergent model may actually contribute to a systematic exclusion of poorer neighborhoods and less privileged residents of Chicago. Full article

This research provides an abstract representation of neighborhoods, accounting for the actors involved in the process of their formation and transformation as local entities embedded in a complex yet specific configuration of historical, social, structural, and political contexts. The analysis uses a conceptual framework combining Assemblage Theory and Actor–Network Theory to examine how both human and non-human actors or agents interact and consequently exert an impact on three different neighborhoods in Limassol, Cyprus. The methodology combines both qualitative as well as quantitative approaches. The tools used include space syntax, land use, and building typology, descriptive statistics of social factors, a photographic survey, observation of the built environment’s expressive features, and archival research of press articles. The findings reveal the extent to which global factors, such as colonialism and the mobility of wealthy populations from former Soviet countries, have an impact on the social makeup and expressive features of the environment, while local factors, such as block size and housing typology, have a strong impact on the use of public space. Furthermore, more complex networks may exhibit structural resilience or adaptability but may be, at the same time, more sensitive to varying and conflicting interests. Full article