Search Results (1,489)

The Augustan Aqueduct, built between 33 and 12 BC at the command of Augustus and designed by Marcus Vipsanio Agrippa, stands as one of the most remarkable hydraulic engineering feats of the Roman era. The main route of the aqueduct extends over 100 km, starting from the caput aquae, represented by the Acquaro-Pelosi springs located at the foot of the Terminio karst massif, near the village of Serino (Campania region) and ending at Castellum Aquae, which corresponds to the Piscina Mirabilis in Bacoli, near Neapolis. Hydrogeological and hydrological features have been analyzed to reconstruct the rationale behind the selection of the aqueduct’s water sources: flow rate, ground level, and quality of the karst waters of the Serino springs best met the supply requirements. These characteristics, and others of historical and archaeological nature, suggest that the Augustan Aqueduct had a hydraulic connection with the Sannitico Aqueduct, also fed by Serino springs. The Sannitico Aqueduct fed the town of Benevento towards Nord, and it is believed to have been built in the first century AD. As shown by this study, both aqueduct systems could be part of a unique and great hydraulic system, built in the 1st century BC to supply areas of great residential importance (cities and patrician villas) or military importance (Miseno harbor and Benevento). The several studies available on the Augustan Aqueduct primarily focus on archaeological, architectural, and engineering aspects and less on hydrogeological aspects. In this paper we highlight that the hydrogeological perspective represents a key to understand the rationale behind the selection of the water sources feeding both aqueducts, built probably at the same time, and their interconnection. Full article

Limited accessibility, mountainous geography, and seismic conditions have posed challenges to both the preservation and the transmission of knowledge inherited from the Incas. Therefore, this research aims to analyze the ancestral Inca construction systems and their relationship with the Inca worldview through an architectural and structural study of the archaeological site of Choquequirao, located in Cusco, Peru. The research integrates geographic, climatic, spatial, functional, and constructive dimensions, applying digital 3D modeling tools (AutoCAD 2025, SketchUp 2024, and Sun-Path 2024) to assess the orientation, stability, and symbolic configuration of the main sectors. The results of the functional and constructive analysis reveal that Choquequirao incorporates adaptive principles in response to seismic and microclimatic conditions, as well as constructive typologies planned from an integral architectural perspective. These elements allow a clearer understanding of the spatial organization of the site and its cultural significance. Moreover, the study covers ten sectors distributed across 1800 hectares. The upper sector (4 ha) stands out for its architecture and political–ceremonial function; the lower sector (4 ha) includes ritual, administrative, residential, and storage areas for camelids; the southern sector (5 ha) contains the ushnu and priestly enclosures on terraces; and the eastern (7 ha) and western (2 ha) slopes integrate agricultural and residential uses. The study of Choquequirao highlights its complex organization and addresses contemporary challenges in terms of conservation and development. These findings provide essential insights for future restoration and conservation strategies that respect traditional construction systems and their environmental adaptation. Full article

Sinkholes caused by historical underground mining operations are significant geotechnical and safety hazards for new residential developments. This paper presents a case study concerning the assessment of the condition of the foundations of a planned multi-family residential building located within a former mining operations area in southern Poland, which is exposed to the risk of discontinuous ground deformation. This study aimed to identify potential voids within the rock mass and develop safe structural solutions for building foundations. To this end, a comprehensive site investigation was conducted, including two-dimensional electrical resistivity profiling to detect zones of high-resistivity anomalies. High-resistivity anomalies were identified beneath several building segments, suggesting the presence of voids or loose soil resulting from shallow coalmining operations. Based on these findings, a finite element analysis (FEA) of the reinforced concrete foundation slab was performed to simulate the presence of subsurface cavities. The results indicated local tensile stress in the slab of up to 0.34 MPa, which necessitated subsequent design adjustments. Consequently, the use of additional bottom reinforcement and continuous reinforced concrete ribs was proposed to enhance structural safety. This study highlights the necessity of detailed geotechnical and geophysical analyses of planned development zones located in former mining operation areas to address the risks related to sinkholes and ensure the long-term safety of new buildings. Full article

Understanding why households choose particular urban neighborhoods requires bridging traditional rational-choice explanations with emerging evidence on cognitive, social, and informational influences. This study investigates how territorial intelligence (TI)—defined as the availability and use of spatial data, planning information, and participatory knowledge platforms—interacts with behavioral factors to shape residential relocation decisions. Employing an explanatory sequential mixed-methods design, we surveyed 356 recent movers in Casablanca, Morocco, and conducted 20 follow-up semi-structured interviews. Quantitative analysis shows that each additional consulted data source increased the odds of selecting a central, transit-rich location by 45 %, while prior awareness of development plans raised those odds by 60 %, controlling for income, tenure, affordability, dwelling attributes, and socio-demographics. Data use also predicted higher post-move satisfaction, particularly when individual housing preferences aligned with chosen locations. Qualitative findings reveal that residents view territorial data as a tool for “future-proofing” but also experience information overload, leading some to revert to heuristics or social advice. The interplay of rational cost–benefit logic, bounded cognitive processing, and TI-mediated knowledge underscores the need for planning strategies that combine economic fundamentals with behaviorally informed data provision. By integrating micro-level decision evidence with the territorial intelligence framework, the study offers practical guidance for urban planners aiming to nudge residential choices toward more sustainable, policy-consistent outcomes. Full article

Traffic safety is a fundamental element of urban mobility, and speed bumps remain one of the most widely used measures for reducing vehicle speeds on local streets. This study investigates how different types of speed bumps influence traffic flow speed in the City of Zagreb, Croatia. A total of 208 locations were surveyed across all city districts, where geometric characteristics, regulatory compliance, and local contextual features were recorded. In addition, UAV monitoring was conducted at eight representative sites, capturing 906 vehicle trajectories and enabling the extraction of speed profiles at two measurement points per location, together with vehicle classification. This combined approach—integrating UAV-based speed tracking with a detailed geometric compliance assessment—provides a novel and reproducible methodological framework for evaluating vertical traffic-calming measures under real operating conditions. The results show substantial differences in performance between bump types. Raised platforms reduced vehicle speeds by up to 53%, while narrow platforms achieved reductions of up to 49%. In contrast, modular rubber elements exhibited noticeably weaker performance, particularly for heavy vehicles. These findings differ from previous research that has primarily focused on single bump types or limited samples and reported mixed effectiveness depending on height and material. The reductions observed in this study are operationally relevant, as they indicate which bump designs reliably maintain speeds below the 40 km/h safety threshold required on residential streets and around schools. By linking bump geometry and compliance with actual driver behaviour, this study offers a practical and transferable framework that can support urban traffic-safety planning, standardization of vertical calming devices, and improved selection of appropriate measures for mixed-traffic urban environments. Full article

This research aims to develop a novel spatial optimization model for locating obnoxious facilities. While various obnoxious facility location problems (OFLP) have been introduced, the optimal spatial arrangements in existing models may not adequately reflect the real-world conditions, such as the distribution of population and locational restrictions across areas in a region, often offering extreme peripheral or clustered recommendations that ignore such conditions. To address this gap, this research introduces an alternative location model named the Spatially Informed Obnoxious Location (SI-OBNOX) model. The SI-OBNOX model was developed to address the extreme spatial arrangements produced by existing models by incorporating a unique set of constraints derived from the spatial characteristics of a planning region. The constraints integrate spatial–statistical measures into the model formulation to restrict extreme facility location behaviors, resulting in more reasonably distributed obnoxious facility sites while avoiding residential areas for them. The findings demonstrate that the spatial arrangements generated by the SI-OBNOX model outperform those of existing OFLPs in terms of three planning-related indices, namely separation, externality, and proximity, based on a case study of the East Tennessee region. The SI-OBNOX model can be adapted to other planning contexts where it is necessary to locate undesirable yet essential facilities for public welfare. Full article

Conventional approaches to building energy retrofit decision-making struggle to generalize across diverse building characteristics, climate conditions, and occupant behaviors, and often lack interpretability. Generative AI, particularly Large Language Models (LLMs), offers a promising solution because they learn from extensive, heterogeneous data and can articulate inferences in transparent natural language. However, their capabilities in retrofit decision-making remain underexplored. This study evaluates six widely used LLMs on two objectives: determining the retrofit measure that maximizes CO₂ reduction (a technical task) and minimizes the payback period (a sociotechnical task). We assessed performance across accuracy, consistency, sensitivity, and reasoning. The evaluation used 400 residential buildings from a nationwide, simulation-based database. The results reveal that LLMs vary across cases, with consistently strong technical-task performance but notably weaker performance on the sociotechnical one, highlighting limitations in handling complex economic and contextual trade-offs. The models consistently identify a near-optimal solution for the technical task (Top-5 accuracy reaching 92.8%), although their ability to pinpoint the single best option is limited (Top-1 accuracy reaching 54.5%). While models approximate engineering logic by prioritizing location and geometry, their reasoning processes are oversimplified. These findings suggest LLMs are promising for technical advisory tools but not yet reliable for standalone retrofit decision-making. Full article

China’s rapid urbanization, characterized by extensive land allocations, operates within a framework of binding quotas imposed by upper-level governments, while local governments exercise broad discretion over the zoning of newly transacted land parcels. In this context, investigating the evolving patterns of land supply structure during this period is therefore of critical importance. The central government’s 2018 articulation of the “Houses are for living in, not for speculation” (fangzhubuchao) sought to mitigate housing market speculation and curb potential asset bubbles, including through changes to residential land supply. Using a panel of 266 prefecture-level cities across China, this study employs a generalized difference-in-difference model to examine how housing market regulations affect the industrial sector through adjustments in land supply. To capture cross-city variations in local policy interventions, we construct a measure based on the land price wedge between residential (and commercial) and industrial land derived from a hedonic pricing model, which reflects underlying housing market conditions. The results indicate that a reduction in residential land supply caused by these policies results in a corresponding increase in industrial land supply, while the total land supply remains unchanged. These effects are more pronounced in cities with stringent policy regulations and relaxed urban land quotas. The short-term economic outcomes are inadequate. As of 2023, our analysis reveals no substantial increase in either the number of industrial enterprises or the industrial value added, notwithstanding the augmented industrial land supply. Consequently, these findings identify a secondary determinant of industrial location patterns and provide a scientific basis for designing efficient land-use regulations and sustainable urban development strategies. Full article

The Energy Performance of Buildings Directive (EPBD) requires all EU Member States to establish Whole Life Carbon (WLC) benchmarks by 2030. While progress is being made across Europe, a comprehensive and standardised national methodology remains absent in Italy, raising broader questions about how to ensure comparability of WLC assessments across diverse territorial contexts. Italy represents a particularly complex case, as its building stock is regulated simultaneously by seismic zoning and climatic zoning, complicating the definition of representative archetypes. This study applies Life Cycle Assessment (LCA) to a prototypical residential building in Tuscany, testing scenarios that vary by seismic risk and exposure conditions. Results show that structural components dominate impacts, accounting for approximately 60% of total Global Warming Potential (GWP), and that outcomes are highly sensitive to both location and data source. These findings underscore the importance of data granularity and context-specific modelling in developing robust benchmarks. The novelty of this work lies in proposing a framework that integrates seismic and climatic factors into archetype selection, while also emphasising the adoption of nationally tailored datasets to improve accuracy and policy relevance. By situating the Italian case within the wider European debate, the paper contributes to the urgent task of establishing robust, comparable, and context-sensitive WLC benchmarks that can guide both national regulation and EU-wide decarbonisation strategies. Full article

Precast concrete sandwich panels (PCSPs) have been widely adopted for constructing exterior walls in prefabricated residential buildings, but they face threats from impact loads such as natural disasters, terrorist attacks, and runaway vehicles. Their impact performance directly affects the overall safety and durability of the structure. However, research on the impact performance of such exterior walls remains limited. In this study, LS-DYNA R11 software is employed to establish a numerical model of PCSPs. The proposed numerical simulation method is validated by comparing the results with existing experimental data. On the basis of this numerical method and adopting an actual prefabricated residential building project as the background, the damage behavior of three distinct types of PCSPs in a bedroom is numerically investigated under varying impact location and energy conditions. The results demonstrate that the interior wythe of the PCSPs studied in this work exhibit excellent stability under external impact loading, with the most of damage absorbed by the exterior wythe, which provides effective protection to the interior wythe. Compared with windowed PCSPs subjected to impact, loads at the same energy level exhibit concrete spalling and a more pronounced dynamic response. Additionally, the windowed surface of L-shaped PCSPs is more susceptible to generating significant dynamic responses, with the non-windowed side exhibiting at least 13.2% lower maximum displacement under impact compared to the windowed side. Full article

Automated vehicle (AV) technology is expected to alter travel behavior and residential location choices, yet the psychological motivations behind relocation decisions under current partial automation (Level 2) remain underexplored, as most studies focus on fully autonomous scenarios. This study explores why individuals might relocate in response to AV availability in both short-term and long-term contexts and predicts how willingness to relocate changes as automation levels advance. In a survey of Kentucky residents, data were collected on demographic and economic characteristics, travel needs, built environment attributes, AV familiarity, comfort with different automation levels, and willingness to relocate if AVs were available. Multiple machine learning models with Shapley Additive Explanations (SHAP) were used to predict and interpret changes in relocation willingness. Results indicate that greater comfort with high-level automation and higher AV familiarity increase relocation intentions, particularly among men, older adults with higher incomes, and urban residents. SHAP analysis reveals that built environment, age, and comfort with fully autonomous driving are the most influential predictors of changes in relocation willingness. Findings inform land use and housing policy by identifying where perception-driven relocation pressures are likely to emerge and by outlining adaptive tools to guide spatial growth as AV technology advances. Full article

This study investigates the effect of rotation step size on the performance of flat-plate solar collectors (FPSC) equipped with single-axis tracking. Numerical simulations were carried out in EnergyPlus, coupled with a custom Python interface enabling dynamic control of collector orientation. The analysis was carried out for the city of Kragujevac in Serbia, located in a temperate continental climate zone, based on five representative summer days (3 July–29 September) to account for seasonal variability. Three collector types with different efficiency parameters were considered, and inlet water temperatures of 20 °C, 30 °C, and 40 °C were applied to represent typical operating conditions. The results show that single-axis tracking increased the incident irradiance by up to 28% and the useful seasonal heat gain by up to 25% compared to the fixed configuration. Continuous tracking (ψ = 1°) achieved the highest energy yield but required 181 daily movements, which makes it mechanically demanding. Stepwise tracking with ψ = 10–15° retained more than 90–95% of the energy benefit of continuous tracking while reducing the number of daily movements to 13–19. For larger steps (ψ = 45–90°), the advantage of tracking decreased sharply, with thermal output only 5–10% higher than the fixed case. Increasing the inlet temperature from 20 °C to 40 °C reduced seasonal heat gain by approximately 30% across all scenarios. Overall, the findings indicate that relative single-axis tracking with ψ between 10° and 15° provides the most practical balance between energy efficiency, reliability, and economic viability, making it well-suited for residential-scale solar thermal systems. This is the first study to quantify how discrete rotation steps in single-axis tracking affect both thermal and economic performance of flat-plate collectors. The proposed EnergyPlus–Python model demonstrates that a 10–15° step offers 90–95% of the continuous-tracking energy gain while reducing actuator motion by ~85%. The results provide practical guidance for optimizing low-cost solar-thermal tracking in continental climates. Full article

Residential buildings near transport corridors are exposed to traffic-induced vibrations that can affect their safety. This paper presents a dynamic diagnosis of a masonry building located near a grade-separated junction. The study aimed to determine whether traffic-induced vibrations were responsible for the diagonal cracking of plaster observed in a dormer wall. The methodology included simultaneous acceleration measurements on the ground and building, traffic recording, 3D laser scanning for geometric reconstruction, and finite element modelling with soil–structure interaction. Time history and modal analyses were performed for various soil stiffness values. The results show that vibrations are predominantly attenuated at the soil–building interface, whereas soil flexibility markedly lowers the fundamental (lowest) natural frequencies of the building. The effect of soil stiffness on wall shear stress was more significant than that of dynamic action in load combinations. A comparison of the principal stress trajectories with the observed cracking patterns suggests that the damage was primarily due to the support condition of the wall. Traffic-induced vibrations are not the main cause of the observed damage. The integrated diagnostic procedure was effective in distinguishing vibration effects from other structural factors and was useful in assessing building safety. Full article

Multi-story residential buildings present distinct challenges for demand-side management due to shared infrastructure, diverse occupant behaviors, and complex load profiles. Although demand-side management strategies are well established in industrial sectors, their application in high-density residential communities remains limited. This study proposes a cost-optimized energy management framework for urban multi-story apartment buildings, integrating rooftop solar photovoltaic (PV) generation, shared battery energy storage, and flexible electric vehicle (EV) charging. A Mixed-Integer Linear Programming (MILP) model is developed to simulate 24 h energy operations across nine architecturally identical apartments equipped with the same set of smart appliances but exhibiting varied usage patterns to reflect occupant diversity. A Mixed-Integer Linear Programming (MILP) model is developed to simulate 24 h energy operations across nine architecturally identical apartments equipped with the same set of smart appliances but exhibiting varied usage patterns to reflect occupant diversity. EVs are modeled as flexible common loads under strata ownership, alongside shared facilities such as hot water systems and pool pumps. The optimization framework ensures equitable access to battery storage and prioritizes energy allocation from the most cost-effective source solar, battery, or grid on an hourly basis. Two seasonal scenarios, representing summer (February) and spring (September), are evaluated using location-specific irradiance data from Joondalup, Western Australia. The results demonstrate that flexible EV charging enhances solar utilization, mitigates peak grid demand, and supports fairness in shared energy usage. In the high-solar summer scenario, the total building energy cost was reduced to AUD 29.95/day, while in the spring scenario with lower solar availability, the cost remained moderate at AUD 31.92/day. At the apartment level, energy bills were reduced by approximately 34–38% compared to a grid-only baseline. Additionally, the system achieved solar export revenues of up to AUD 4.19/day. These findings underscore the techno-economic effectiveness of the proposed optimization framework in enabling cost-efficient, low-carbon, and grid-friendly energy management in multi-residential urban settings. Full article

In recent years, European and national policies on energy efficiency and sustainable construction have promoted a profound rethinking of building practices and strategies for upgrading the existing building stock. With the conversion of Law Decree No. 34 of 19 May 2020 (Decreto Rilancio) into Law No. 77 of 17 July 2020, and of Law Decree No. 76 of 16 July 2020 (Decreto Semplificazioni) into Law No. 120 of 11 September 2020, the tax deduction rate was increased to 110% for expenses related to specific interventions such as seismic risk reduction, energy retrofit, installation of photovoltaic systems, and charging infrastructures for electric vehicles in buildings—commonly known as the Superbonus 110%. Furthermore, the category of “building renovation,” as defined in Presidential Decree No. 380 of 6 June 2001 (art. 3, paragraph 1, letter d), was expanded with specific reference to demolition and reconstruction of existing buildings, allowing—under certain conditions—interventions that do not comply with the original footprint, façades, site layout, volumetric features, or typological characteristics. These measures were designed not only to positively affect household investment levels, thereby significantly contributing to national income growth, but also to support the broader objective of decarbonising the building sector while improving seismic safety. Within this regulatory and policy framework, instruments such as the Superbonus 110% have acted as a driving force for the diffusion of renovation projects aimed at enhancing energy performance and reducing greenhouse gas emissions, in line with the objectives of the European Green Deal and the Energy Performance of Buildings Directive (EPBD). This paper is situated within such a context and examines a real-world case of bio-based renovation admitted to fiscal incentives under the Superbonus 110%. The focus is placed on the procedural framework as well as on the technical, economic, and evaluative aspects, adopting a multidimensional perspective that combines regulatory, operational, and financial considerations. The case study concerns the demolition and reconstruction of a single-family residential chalet, designed according to near-Zero-Energy Building (nZEB) standards, located in the municipality of San Roberto, in the province of Reggio Calabria. The intervention is set within an environmentally and culturally sensitive area, being situated in the Aspromonte National Park and subject to landscape protection restrictions under Article 142 of Legislative Decree No. 42/2004. The aim of the study is to highlight, through the analysis of this case, both the opportunities and the challenges of applying the Superbonus 110% in protected contexts. By doing so, it seeks to contribute to the scientific debate on the interplay between incentive-based regulations, energy sustainability, and landscape–environmental protection requirements, while providing insights for academics, practitioners, and policymakers engaged in the ecological transition of the construction sector. Full article