Urban Science

With the need for increasing energy demand due to population growth in cities, and advancements in the efficiency of semi-transparent photovoltaic (ST-PV) technology, the integration of ST-PV modules into building windows has become feasible. This manuscript presents a novel analytical methodology for estimating incident solar energy on vertical PV modules integrated into building facades in an urban environment, emphasizing shade caused by nearby buildings. Monthly and annual direct-beam, diffusion, and global energies are calculated for different wall heights, building separation, and orientation. In addition, the distribution of the incident energy along the height of the wall is evaluated, indicating a non-uniform distribution. The incident diffusion energy is compared between isotropic and anisotropic models. The anisotropic model predicts higher diffusion energy by 3.5% to 14.5%, depending on the building separation. The incident energy on building facades is calculated for locations at low-mid (<!-- MathType@Translator@5@5@MathML2 (no namespace).tdl@MathML 2.0 (no namespace)@ --> Full article

This paper investigates the prediction of urban air temperature (Tair) from satellite-derived land surface temperature (LST) in the complex urban and topographic environment of Yerevan, Armenia. Building on previous work that demonstrated the effectiveness of machine learning (ML) approaches for point-based Tair estimation using Partial Least-Squares Regression (PLSR) with multiple environmental variables, this study shifts the focus to the spatial distribution of Tair. Several prediction methods and input variable combinations are evaluated to generate gridded Tair maps, which are assessed for spatial consistency against expected patterns driven by land cover, elevation, local knowledge, and spot observations. In total, five predicting methods were used—one regression approach (PLSR) and four ML methods: random forest (RF), quantile regression forest (QRF), support vector machine (SVM), multilayer perception (MLP). RF and QRF deliver the best overall results, with RF achieving the highest testing R² (0.74) and lowest RMSE (0.56). Spatial patterns are similar for PLSR, RF and QRF, highlighting cooler northern high-altitude areas and warmer southern urban areas. Overall, the results confirm the reliability of the proposed Tair spatial mapping methods in complex urban environments. Full article

Although the literature has extensively analyzed the determinants of tourist expenditure, studies focusing on second home tourism are scarce. Moreover, they tend to treat this segment as a homogeneous group, without delving into the existence of differentiated consumption patterns within non-market tourism. In this context, this paper analyzes the case of Spain, using a database comprising 1,253,115 observations for the period 2015–2024. First, linear regression models with interaction terms are estimated, and non-parametric tests are applied to evaluate the differences in tourist expenditure between market and non-market tourists. Specifically, market tourists refer to those staying in paid accommodation whereas non-market tourists are those using accommodation without a direct economic transaction. The results show that non-market tourists present lower direct expenditure per stay; however, their longer stays and more balanced and repetitive temporal distribution contribute to sustaining the economic activity of the destinations. Second, a segmentation analysis using the k-means clustering algorithm is applied to identify differentiated spending patterns within non-market tourism, revealing significant heterogeneity in the expenditure patterns of second home tourism. These findings suggest the suitability of adopting more segmented tourism management strategies and promoting this type of tourism as a mechanism to reduce seasonality in specialized destinations. Full article

Urban greening has transitioned from a supplementary component of urban development to a central element in contemporary planning policies, driven by its recognized environmental, social, and health benefits. This paper explores urban greening processes through the lens of Human-Centered Design (HCD), an approach that emphasizes iterative, participatory, and user-oriented approaches. While public participation in urban planning is traditionally framed through statutory procedures and deliberative models, HCD offers a distinct perspective by treating engagement as a design process aimed at deeply understanding and integrating citizen needs into the process. This study compares two internationally acclaimed cities, Melbourne, Australia, and Vitoria-Gasteiz, Spain, focusing on their urban greening strategies and citizen engagement mechanisms. Using HCD as an analytical framework, the research investigates how socio-political and cultural contexts shape participatory practices, the barriers planners face, and how these impact the effectiveness and sustainability of greening initiatives. The findings underscore the value of HCD in fostering long-term citizen relationships, adapting greening solutions to local contexts, and addressing the methodological gaps in participatory urban design. Ultimately, the paper advocates for a more structured, context-sensitive, and human-centered approach to citizen engagement. Full article

For the environment and the daily life of urban settlements, in the context of contemporary challenges, severe meteorological events rank second worldwide. Therefore, these events tend to become a real threat to human society and to specific economic activities. The main objective of this study is to analyze the spatio-temporal evolution of severe meteorological events in urban environments and to assess their relationship with atmospheric circulation regimes and urban thermal conditions. The analysis focuses on five types of severe events (significant atmospheric precipitation, hail, strong winds, tornadic structures, and cloud-to-ground lightning) recorded in 11 cities located in the historical region of Muntenia, Romania, over the period 2014–2024. The methodological framework is based on three complementary components. First, a new database was developed by integrating information from multiple sources, including the National Meteorological Administration (ANM), the European Severe Storms Laboratory (ESSL), international databases, and validated media reports, with spatio-temporal filtering and aggregation into synoptic episodes. Second, atmospheric circulation regimes were identified using ECMWF ERA5 reanalysis data, based on geopotential height anomalies at the 500 hPa level, allowing the classification of large-scale synoptic patterns. Third, urban thermal conditions were assessed using the ECMWF CERRA regional reanalysis dataset, which provides high-resolution air temperature data, enabling the analysis of urban–peri-urban thermal contrasts and the estimation of the urban heat island effect. The results highlight a total of 997 severe meteorological events, of which 253 (25.6%) were recorded in the analyzed urban areas, 85 (15.9%) in other towns, and 583 (58.5%) in rural areas. The analysis reveals pronounced interannual and intraseasonal variability, as well as distinct spatial clustering patterns, particularly in urban and peri-urban zones. Among the circulation regimes, the Zonal Regime exhibits the highest event rate, suggesting increased favorability for severe weather occurrence, while other regimes show weaker or even inhibitory effects. In addition, most severe events were associated with positive urban–peri-urban temperature contrasts, indicating an active contribution of the urban heat island effect. By combining observational data, synoptic-scale analysis, and urban-scale thermal assessment, this study provides an integrated regional perspective on severe meteorological events and contributes to the enrichment of data sources in the region, while improving the understanding of their dynamics in urban environments affected by data limitations. Full article

Urban growth and climate change intensify urban heat islands (UHIs), altering atmospheric stability and promoting the accumulation of particulate matter ≤ 10 µm (PM₁₀) and particulate matter ≤ 2.5 µm (PM_2.5), particularly in high-altitude megacities. However, there remains a scarcity of integrated dynamic models capable of representing these interactions at the intra-urban scale. This study develops a socio-environmental dynamic model to evaluate the influence of UHIs on PM₁₀ and PM_2.5 concentrations across localities of a high-altitude Latin American megacity (Bogotá, Colombia). A dynamic simulation model was developed in Vensim^®, integrating temperature, PM₁₀, PM_2.5, and citizen perception data. Statistical and spatial analyses were conducted to represent intra-urban thermo-atmospheric interactions. The results show that the model captures the influence of UHIs on PM₁₀ and PM_2.5 concentrations. Higher PM concentrations are simulated in localities with high imperviousness (PM₁₀: 33.4–50.4 µg/m³; PM_2.5: 21.5–25.1 µg/m³) and lower PM concentrations in areas with greater vegetation cover. Sensitivity analysis of the dynamic model reveals nonlinear amplifications of up to 15–20 µg/m³ in PM₁₀ and 8–10 µg/m³ in PM_2.5 associated with small thermal variations (1–2 °C). Under scenarios with significant UHI intensity, increases reach 4–6 µg/m³ in PM₁₀ and 3–4 µg/m³ in PM_2.5. These findings confirm that UHIs act as amplifiers of pollution and that urban thermal interventions could reduce PM concentrations by up to 10–20%. Full article

Assessing carbon footprints has become increasingly important globally as a key tool for quantifying environmental impacts and supporting sustainable decision-making. However, although allegorical floats—central elements of large-scale parades in internationally recognized cultural festivals such as the Rose Parade in Pasadena, USA (RPP), the Rio de Janeiro Carnival, Brazil (RJC), the Black and White Carnival in San Juan de Pasto, Colombia (BWC), and the Fruit and Flower Festival in Ambato, Ecuador (FFF)—represent significant expressions of cultural heritage and artistic creativity, their environmental impact has received limited attention in sustainability research. The primary objective was to quantify the carbon emissions associated with constructing these temporary structures. The methodology integrated geometric surface estimation with carbon accounting principles commonly applied in life-cycle assessment. Emissions were calculated based on the material composition of the structural, covering, and finishing stages, and normalized using two indicators: kilograms of CO₂ equivalent (kg CO₂e) per square meter of float surface area and kg CO₂e per float. Results indicate that emission intensity varies substantially across festivals, with RJC exhibiting the highest value (approximately 9 kg CO₂e/m²) due to extensive use of synthetic materials, while BWC demonstrates the lowest intensity (approximately 4.3 kg CO₂e/m²) as a result of greater reliance on wood- and paper-based components. When assessed per float, the large scale of RJC structures leads to emissions exceeding 30,000 kg CO₂e per float, whereas FFF floats generate less than 1000 kg CO₂e due to their smaller dimensions and use of natural materials. This research constitutes the first comparative carbon assessment of allegorical float construction and advances the emerging intersection of cultural heritage studies and environmental sustainability. Full article

Rapid urbanization in Saudi Arabia puts increasing pressure on energy, water, mobility, and waste-management systems, strengthening the need for evidence-based smart-city policy under Vision 2030. Rather than offering a descriptive inventory of projects, this paper develops a verification-oriented framework for assessing smart-city initiatives in the Kingdom. The framework is built on four principles: (i) distinguishing national contextual indicators from city-level evidence, (ii) separating stated ambitions from observed outcomes, (iii) applying an evidence-grading rubric that prioritizes publicly verifiable mechanisms and performance indicators over anecdotal or promotional claims, and (iv) introducing a readiness–impact matrix adapted to Saudi climatic, infrastructural, and institutional conditions. The framework is applied to major Saudi smart-city cases, including NEOM, KAEC, Riyadh, Jeddah, Makkah, and Madinah. The analysis shows that the strongest publicly documented evidence is concentrated in selected sectoral applications, particularly demand response and smart-building control in electricity systems, leak detection and pressure management in water networks, and intelligent traffic management in urban transport. These cases indicate plausible pathways for improving service efficiency and reducing resource waste; however, publicly verifiable city-level outcome data remain limited, fragmented, and uneven across cases. In response, the paper proposes a policy playbook centered on KPI transparency, interoperable data governance, cybersecurity safeguards, and public–private partnership templates to improve the measurability, comparability, and scalability of smart-city outcomes. By formalizing verification and cross-case assessment, the study contributes a reproducible methodological basis for evaluating smart-city progress and prioritizing future investments in Saudi Arabia. Full article

Urban air pollution in Skopje, a city with complex topography, is strongly influenced by traffic emissions, household heating, industrial activities, and meteorological conditions, leading to pronounced spatial and seasonal variability. The objective of this study is to assess the contribution of major urban emission sources to air quality in Skopje, with a focus on traffic pollution, and to quantify their seasonal influence on NO₂, PM₁₀, and PM_2.5 concentrations using a high-resolution urban dispersion modelling approach. The methodology is based on the ADMS-Urban dispersion modelling system, integrating traffic activity data as line sources, together with area sources representing household heating, point sources representing industrial facilities, and seasonally representative meteorological data. Model performance was evaluated through comparison with measurements from official urban monitoring stations. The results show that the model successfully reproduces the observed spatial gradients and seasonal trends of NO₂, PM₁₀, and PM_2.5 concentrations across the urban area. Source contribution analysis indicates that household heating dominates particulate matter pollution throughout the year, while traffic and industrial combustion are the main contributors to NO₂. The isolated traffic contribution exhibits clear seasonal variability, with the highest concentrations occurring during winter due to reduced atmospheric dispersion and increased traffic-related emissions. The model is primarily suitable for assessing spatial patterns and relative source contributions rather than accurate prediction of absolute concentration levels, due to the use of aggregated Tier 1 emission factors. The study confirms that physically based urban dispersion modelling provides a robust framework for identifying pollution hotspots, quantifying traffic contributions, and supporting targeted air quality management strategies in Skopje. Full article

Amid growing concerns over global warming, ensuring the outdoor thermal comfort (OTC) of public urban spaces is crucial for creating liveable and resilient cities. This study focused on the intensification of the urban heat island (UHI) effect and the heat stress experienced by the vulnerable older population. Evidence was found through the case study in a highly vulnerable area of Porto, with a high ageing ratio. The primary aim was to assess the influence of design-based adaptation strategies on OTC using ENVI-met, with a specific focus on older adults. Thermal stress was evaluated using the Physiological Equivalent Temperature (PET) index. The analysis confirms that older adults consistently experience higher PET values (+2–5 °C) and larger areas of thermal discomfort than active-age adults. Simulations reveal that the effectiveness of adaptation measures depends on the characteristics of the urban space but enhanced green infrastructure achieves the most significant heat mitigation results. Artificial shading only provides localized thermal relief. Cool pavements contribute meaningfully by lowering surface heat storage and reducing longwave radiation. However, their impact on PET, beneficial or detrimental, depends significantly on the morphology of the outdoor space and the materials used. In the analysed street canyon, PET was higher in the central hours of the day for both age ranges, when the pavement material had a higher albedo. An effective heat mitigation needs a combination of vegetation-based strategies and climate-responsive materials to ensure comfortable and age-inclusive public spaces. This research presents an actionable methodological approach for evaluating and enhancing OTC, advocating the use of microclimate simulations in a carefully selected set of public spaces within an intervention urban area to define effective climate adaptation measures for each space. Full article

At the global level, as well as in Lithuania, the risks associated with climate change and other emerging threats—such as war, radiation, and pandemics—are increasing, and adequate preparedness is necessary to avoid their negative consequences. Despite international and other strategic efforts to assess emerging threats, preparedness to adapt to them and to mitigate their impacts remains insufficient. Considering the insufficient level of preparedness of the country’s cities to cope with these threats, this article introduces a new, sustainable element of urban structure—a comprehensive territorial structural unit capable of functioning under adverse and hazardous conditions. The formation of this new urban complex is based on three core sustainability principles—social, ecological, and economic—alongside international and national urban planning experience. The newly proposed sustainable urban structural complex consists of a group of blocks with diverse building types bounded perimetrically by urban public transport streets connecting the complex with other urban areas. For the functionality of the complex, a structural element—a green core—is envisaged in its central part, intended to serve residents through recreation, social interaction, civil security, and other functions. Due to its functional characteristics, structure, autonomy, capacity to integrate with other urban structures, and other properties, this urban complex closely resembles a biological cell; thus, for semantic clarity, it is termed an urbocell (urban cell). This urbocell is integrated into the urban fabric of residential districts and the entire city, forming a sustainable spatial and urban structure suitable for safe living, working, and recreation. The article models potential structural elements of the urbocell—namely, selected urban block morphotypes—using the computational tool Autodesk Forma, the results of which may support more informed urban planning decisions for developing a more sustainable and climate-resilient urban environment. Full article

The rapid growth of e-commerce has significantly increased direct-to-consumer deliveries, putting competitive and environmental pressure on urban last-mile logistics. Out-of-home (OOH) delivery options, particularly parcel lockers, are increasingly integrated into city mobility strategies to reduce congestion and emissions. However, the role of mobile applications front-ending these networks remains under-researched. This study aims to evaluate the user experience (UX) and functional adequacy across three major parcel-locker apps in Poland: InPost Mobile, DPD Mobile, and ORLEN Paczka. A cross-sectional, mixed-methods approach combining in situ corridor testing and structured post-task questionnaires was employed with 30 users at real locker locations in Katowice. The results indicate that interface simplicity, predictable information flow, and technical stability are the dimensions most consistently associated with higher user ratings. InPost Mobile consistently achieved the highest ratings due to its focus on core workflows, whereas applications emphasizing broader functional coverage (ORLEN Paczka) exhibited usability trade-offs, and DPD Mobile underperformed in speed and stability. Because the study relied on a small convenience sample (n = 30) in a single city and was skewed toward younger adults (18–24), the findings should be interpreted as exploratory and primarily reflective of a digitally proficient demographic rather than the broader user population. Full article

Sustainable urban development depends not only on efficient design and construction but also on the long-term governance of built assets during their operational phase. However, Building Information Modeling (BIM) is still predominantly applied to design and delivery processes, with limited integration into structured maintenance and renewal planning. This study develops a BIM-enabled lifecycle governance methodology that integrates lifecycle cost modeling, service-life estimation, and time-based renewal scheduling into a unified digital asset environment. Rather than proposing a new theoretical model, the study focuses on the systematic integration and operationalization of these components into a reproducible and auditable workflow. The methodology is validated through an anonymized multi-asset industrial portfolio comprising buildings, technical infrastructure, and external works, modeled over a 30-year planning horizon using structured maintenance and renewal data. Comparative scenario analysis between reactive and planned lifecycle strategies evaluates expenditure distribution, capital concentration, and intervention synchronization. The results demonstrate that embedding structured lifecycle parameters within BIM improves the predictability of annual expenditures, reduces cost concentration in peak renewal years, and enhances transparency of long-term asset planning without significantly altering cumulative lifecycle costs. These outcomes support more structured financial planning and coordination of maintenance and renewal activities at the portfolio level. The study does not quantify environmental or social sustainability impacts; its contribution lies in providing a governance-oriented methodology that transforms BIM-based asset data into decision-support outputs for long-term lifecycle planning. Full article

The presence of wild species in urban areas is becoming increasingly common. In southern Spain, species such as wild boar cause significant damage and problems in human-dominated environments, such as peri-urban areas, sports facilities, and urban parks. Here, we used camera trapping to monitor the entry rates of ungulates (wild boar and red deer) into three golf courses located in urban areas in southern Spain. The courses are surrounded by hunting estates and other non-urban areas where species are controlled through lethal methods. Wild boars are controlled year-round, and red deer are controlled during specific hunting periods. We tested for differences during periods of normal human activity and periods of the COVID lockdown using generalised linear mixed models. We controlled ungulate raids for 2639 trapping nights, obtaining 1093 wild boar and 225 red deer independent events. During the COVID lockdown, wild boar raids on golf courses decreased significantly. Meanwhile, equivalent deer raids increased significantly during the hunting period. The results indicate that certain urban areas where control by firearms is not permitted—such as golf courses—can function as safe zones for wild species. This reserve effect is related to the structure of the urban habitat and the resources it offers in terms of security and food. Full article

Urban forestry research increasingly promotes proximity-based benchmarks, such as the 3–30–300 rule, to expand tree canopy, enhance access to nature, and support healthier and more climate-resilient cities. However, a growing body of evidence links green proximity to rising property values and residential displacement, raising concerns regarding green gentrification. These tensions suggest that proximity-based greening cannot be understood solely as an environmental or accessibility intervention; rather, its social outcomes are mediated by the broader housing system. This Perspective argues that the 3–30–300 rule operates as a value-generating urban forestry intervention whose distributive effects are conditioned by housing governance, tenure structures, and the presence of affordability protections. We advance a governance-conditional framework that reconceptualises the rule as a housing-conditioned greening strategy, illustrating how environmental improvements may translate into escalating housing costs and displacement pressures in contexts where housing regulation is weak or fragmented. The analysis highlights the institutional mechanisms through which environmental value is captured, retained, or redistributed across scales, without positing a deterministic relationship between greening and displacement. Aligning urban forestry initiatives with affordability measures and tenant protections is therefore essential if proximity-based greening is to contribute not only to greener and healthier cities, but also to more equitable ones. Full article

This article draws on public opinion surveys conducted as part of the AV-PL-ROAD project, “Polish Road to Automation of Road Transport”. Although selected findings from this survey material were published in 2023, the earlier study was limited to descriptive statistical analysis. The present paper re-examines the same empirical dataset through a different analytical framework focused on latent-structure reconstruction, using a different analytical framework focused on latent-structure reconstruction, providing a more structured and informative interpretation of perceptions of autonomous vehicles in Poland. The study combines within-respondent standardization, Principal Component Analysis (PCA), and k-means clustering to identify the dominant dimensions of perception and recurring perception profiles, complemented by qualitative insights from focus group interviews (FGI) used to support interpretation. The results indicate that perceptions of autonomous vehicles are not one-dimensional, but are organized around three main axes: systemic benefits versus implementation barriers, technological trust and information security, and regulatory-ethical readiness linked to deployment conditions. The analysis also reveals four recurring perception profiles that do not map directly onto simple demographic divisions and are better understood in relation to operational and institutional context. In addition, statistically significant differences between clusters were confirmed using nonparametric tests (Kruskal–Wallis with Dunn–Šidák post hoc analysis). The main contribution of the paper is methodological: it illustrates that previously analyzed survey data can yield structurally informative insights, including the identification of latent dimensions, perception profiles, and statistically significant differences between clusters when reinterpreted through a latent-space approach rather than conventional descriptive methods. The findings provide additional evidence on the social and institutional conditions of transport automation in Poland and provide a more robust analytical basis for future mobility policy and implementation strategies. Full article

The redevelopment of aging planned cities in South Korea presents a significant carbon dilemma, balancing long-term operational savings against the immediate impact of embodied emissions from new construction. This study addresses this challenge by systematically identifying and prioritizing carbon reduction measures applicable across the entire building life cycle for this specific urban context. Following a comprehensive literature and case study review that produced an initial list of 28 measures, an expert panel of 21 South Korean professionals from academia, public, and private sectors was convened to evaluate their practical applicability and importance. The analysis yielded a final, prioritized framework of 23 measures. Experts strongly endorsed measures related to improving building envelope performance and enhancing energy efficiency, highlighting their immediate impact and feasibility. Conversely, several renewable energy systems and sustainable construction methods were rated lower, primarily due to concerns over high costs, low public acceptance, and prevailing technical constraints. By moving beyond a simple inventory to a prioritized, evidence-based framework, this research provides a clear and actionable guide for policymakers to make strategic decisions for low-carbon urban transformation. Full article

Advanced Driver Assistance Systems (ADAS) are increasingly shaping urban mobility and road safety, yet their benefits depend not only on technical performance, but also on driver acceptance. This study examines how Hungarian drivers perceive and evaluate key ADAS functions, Adaptive Cruise Control (ACC), Lane Keeping/Centering Assist (LKA/LCA), and Forward Cross Traffic Alert (FCTA), in urban driving contexts. The research is based on qualitative focus group discussions conducted in Győr, Hungary, involving drivers aged 20–50 from different age cohorts. Data were analyzed using thematic analysis. The findings show that the acceptance of ADAS is strongly context-dependent and function specific. ACC was perceived primarily as a comfort-enhancing tool, especially on longer or more monotonous routes, while LCA was often regarded intrusive and less reliable in urban conditions due to poor road markings, potholes, and frequent stop-and-go situations. On the contrary, blind spot and cross-traffic-related functions were evaluated more positively due to their direct safety benefits. Trust, perceived risk, and control emerged as key dimensions of acceptance, with many participants emphasising the importance of warning-based support rather than a strong autonomous intervention. In general, the study concludes that urban acceptance of ADAS is shaped by the interaction of infrastructure conditions, perceived usefulness, and driver trust, highlighting the need for more transparent, context sensitive, and user-centered system design in support of safer urban mobility. Full article

Urban heat stress is a growing challenge in hot semi-arid cities, where neighbourhood urban design influences microclimate and outdoor comfort. This study evaluates the effect of neighbourhood spatial layout in Erbil city, using ENVI-met simulations. Five neighbourhoods with varying layouts were modelled under standardized conditions, including uniform building height, surface characteristics, and meteorological forcing. Hourly outputs of air temperature, relative humidity, wind speed, surface temperature, mean radiant temperature, universal thermal climate index, and sky view factor were analyzed after excluding the spin-up period. Results indicate that, while all neighbourhoods exhibited similar diurnal timing of thermal extremes, a key distinctive finding is the identification of a neighbourhood that behaves differently across seasons. The Pavilion neighbourhood remained cooler during summer conditions, while maintaining warmer thermal conditions during winter. This dual seasonal behaviour contrasts with the other neighbourhoods, which generally exhibit a trade-off between reduced summer heat stress and winter cooling. The Pavilion neighbourhood is distinguished by the presence of integrated water lagoons, suggesting that the blue infrastructure, in combination with spatial openness and greenery, can moderate thermal extremes. Overall, the study highlights the importance of neighbourhood-scale spatial design in mitigating urban heat and provides evidence to support the development of sustainable neighbourhoods. Full article