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Faithfully flat descent of pseudo-coherent complexes in rigid geometry was proved by Mathew. In this paper, we generalize the result of Mathew to solid quasi-coherent complexes on rigid analytic varieties, which have been introduced by Clausen and Scholze by means of condensed mathematics. [ABSTRACT FROM AUTHOR]

This paper evaluates the resilience of social rental housing in the UK, Sweden and Denmark. Throughout the OECD, processes of retrenchment and privatization, alongside the growth of the owner-occupied and private rental sectors, have led to nigh universal declines in the size and scope of social rental housing. These processes have not transpired evenly, however. Embracing a historical institutionalist approach, alongside novel data and methodology, this paper assesses the variegated patterns of sectoral decline and resilience in these three northern European countries. We find the Danish, association-based model - with its polycentric governance and multi-level system of financing - to have been the most robustly resilient hitherto. In the UK and Sweden, we observe patterns of decline and evidence that the non-profit and needs-based principles which traditionally underpinned these systems have reached precarious thresholds. Nevertheless, despite manifold retrograde threats and vulnerabilities over the past decades, the social rental sectors in Sweden and the UK have proved surprisingly resilient. [ABSTRACT FROM AUTHOR]

This paper focuses on surveillance technologies that New York City landlords have been installing in low-income, public, and affordable tenant housing over the last decade. It looks at how new forms of biometric and facial recognition-based landlord technology automate gentrification and carcerality, reproducing racist systems of recognition and displacement. We offer these systems a genealogy and geography, looking at intersections of zoning, gentrification, eviction, and policing that have historically solidified to dispossess and incarcerate tenants of color. Additionally, this paper addresses how and why New York City has emerged as the world's epicenter of "landlord tech," mapping out several decades of urban datafication that have rendered low-income, nonwhite majority housing complexes as laboratories for surveillance experimentations today. We observe how processes of "catching" tenants for lease violations automate a longer history of racist surveillance and property-making. Yet we also highlight tenant-led resistance that has successfully thwarted facial recognition deployment and that continues to organize for landlord tech abolition today. Through affective organizing, grounded relationality, and alliance-building, tenants have created vital abolitionist space and knowledge to curb landlord technologies and the carceral logics they encode. [ABSTRACT FROM AUTHOR]

Local roads have numerous blind spots caused by complex geometry, obstacles, and narrow width. Thus, conventional proactive countermeasures, such as passive traffic signs and convex mirrors, have not always been effective in preventing local road collisions. In this paper, we present a novel proactive two-step approach for traffic safety on local roads, comprised of detection of pedestrian-to-vehicle and vehicle-to-vehicle collision risks and warning systems. First, using video surveillance and radars to eliminate blind spots, the system detects road objects, predicts their trajectories and reachable areas, and identifies a potential risk situation. Second, it provides road users such as vehicles and pedestrians with warnings through LED variable message signs, which allows them to react effectively in risky situations. We have applied the system to two local road sites in South Korea, including a university campus in Seoul City and an apartment complex in Daejeon City. The detecting system has been validated using a confusion matrix. We have assessed the warning effect through a before-and-after study and found that the proposed system contributed to the improvement of traffic safety at the case study site in that traffic conflicts decreased by 55–62%. [ABSTRACT FROM AUTHOR]

Sustainable housing is a worldwide challenge, while the case of Serbia could be an example of how complex the circumstances can be and how difficult it is to see the path towards sustainability. This paper sets out to answer multiple challenges; can energy-efficient, low-impact housing enter the market and respond to the needs of its population, potentially contributing to a more affordable and futureproof housing reality in Serbia? And does this demand rather different measure than the ones conventionally explored in innovative housing approaches elsewhere? To answer these questions, the paper starts from the preview of circumstances, then the methodology is proposed and explained, after which the possible building materials and technical installations for pilot multi-apartment Passive House are selected, and in the end, results are given and conclusions are drawn. Since the building is intended for a housing co-operative, both the affordability of the proposed solution and the environmental footprint has been comprehended by the methodology proposed. In the end, by carefully balancing the benefits of individual measures – favouring those that are cost-effective and discouraging the implementation of measures that are not, a viable pilot project that could step into the market-oriented society is selected. [ABSTRACT FROM AUTHOR]

Building information modeling (BIM) object classification is a key step in supporting the full automation of architecture, engineering, and construction (AEC) domain tasks such as cost estimation and building code compliance checking. A machine learning approach is designated to address any classification task without requiring the domain knowledge to be explicitly or manually specified in detail. The success of machine learning, however, relies on the quality and suitability of input features. In order to support seamless interoperability of BIM applications, the authors have proposed invariant signatures that uniquely define each AEC object and capture their intrinsic properties. In this paper, the authors combine the use of invariant signatures together with machine learning approach to address BIM object classification. The developed invariant signatures include geometric signatures, locational signatures, and metadata signatures. To test the robustness of their use as machine learning features, the authors created a new BIM object data set with 1,900 AEC objects in five major categories of building elements, including beams, columns, footings, slabs, and walls. The data were manually annotated by independent annotators to ensure the quality. Among those AEC objects in the data set, 1,330 objects (70% of the data) were used as training/development data and 570 objects (30% of the data) were used as testing data. The authors extracted the predefined invariant signatures as features and tested the robustness of them in AEC object classification using different machine learning algorithms. The best-performing algorithm achieved 99.6% F1-measure in the testing data, which outperformed the state of the art (94.9% F1-measure). As a demonstration of the value of such object classification, a comparative experiment was conducted to take off quantities of walls from a student apartment complex, both using the state-of-the-art commercial software and using the object classification–based automation. Consistent results were found between these two quantity takeoff methods, whereas using object classification–based automation further saved time and manual efforts significantly (saved 98.1% of the loading and object selecting time). These results showed that the use of proposed invariant signatures and machine learning algorithms in BIM applications is promising. [ABSTRACT FROM AUTHOR]

With the development of e-commerce, the last-mile delivery has become a significant part of customers' shopping experience. In this paper, an autonomous last-mile delivery method using multiple unmanned ground vehicles is investigated. Being a smart logistics service, it provides a promising solution to reduce the delivery cost, improve efficiency, and avoid the spread of airborne diseases, such as SARS and COVID-19. By using a cooperation strategy with multiple heterogeneous robots, contactless parcel delivery can be carried out within apartment complexes efficiently. In this paper, the last-mile delivery with heterogeneous UGVs is formulated as an optimization problem aimed at minimizing the maximum makespan to complete all tasks. Then, a heuristic algorithm combining the Floyd's algorithm and PSO algorithm is proposed for task assignment and path planning. This algorithm is further realized in a distributed scheme, with all robots in a swarm working together to obtain the best task schedule. A good solution with an optimized makespan is achieved by considering the constraints of various robots in terms of speed and payload. Simulations and experiments are carried out and the obtained results confirm the validity and applicability of the developed approaches. [ABSTRACT FROM AUTHOR]

A review has been undertaken which focusses on the fire safety document 'Open plan flat layouts' (NF 19), where the review identifies that NF 19 comes with limitations in its representation of sprinkler performance and its adopted values for door closing behaviours, location of fires, heat release rate and number of occupants when compared to more recent literature. To assess the impact of assumptions for door closing behaviours and fire location specifically, an event tree analysis of exemplar apartments has been undertaken, comparing NF 19 assumptions to data from literature. This analysis indicates that the previous assumptions for these parameters would not be expected to alter the conclusions of NF 19. As a result of the review and analysis, recommendations are made for the design of open plan apartments. The paper ultimately lays the groundwork for future studies, where additional assessments are needed to consider other NF 19 assumptions, including sprinkler performance, as well as to reassess existing guidance limitations derived from NF 19. [ABSTRACT FROM AUTHOR]

In Seoul, apartment complexes have proliferated over the past half-century with distinctive spatial and morphological characteristics. From the 1980s, aggressive housing policies by the developmental state drove massive construction of apartment complexes, ensuring housing supply and the restructuring of society to a modern lifestyle. Over time, developments shifted to become more market-driven and luxury high-rise apartment complexes increased, reflecting the trend towards socioeconomically homogeneous communities, which propelled self-contained gated communities. To understand the increasingly exclusive nature of apartment complexes, particularly the boundary where the inside (private) and outside (public) meet, this paper examines two apartment complex neighbourhoods made with different development methods: Mok-dong, a master-planned area by 'Housing Site Development' in the 1980s and Geumho-dong, a neighbourhood transformed by apartment complexes under 'Housing Redevelopment' from the 1980s to the present. The research focused on 28 complex's boundary, including the surrounding vertical borders, pedestrian paths, roadways, and access control. The results show two different patterns of gating process: additive closure among older complexes and innate closure of newly built complexes. However, by tracing these features over time, gating proved to be an intensifying phenomenon with the application of various elements and methods to secure the internalized complex infrastructure. [ABSTRACT FROM AUTHOR]

Advances in automated energy metering system over the years have engendered transparency, self-control, efficiency, and equity in energy use especially among residential households globally. Despite this development, only few studies have shown the disaggregated effects of household attributes, dwelling characteristics, and metering systems on residential energy efficiency in the Global South. This paper argues that apart from household contextual factors—socio-economic and housing—the metering systems could indirectly account for energy disparities among urban households. This study therefore compared electricity consumption by urban households under the postpaid meter system and the prepaid meter system using electricity utility data obtained from residents in Ojo Lagos, Nigeria. Findings indicated that electricity consumption levels differed significantly between the postpaid and the prepaid metered households. Further analyses showed that the prepaid meter households used 47% less electricity kWh per annum compared with the postpaid meter households, intra-group variations in domestic electricity use were attributed to the household socio-economic and residential characteristics, and inter-group variations in electricity use rates were attributed to the metering system used by households. This study has both practical and policy implications for urban energy management especially with regard to the metering systems put in place for residential energy use and the need to ensure energy justice in socio-economically polarized cities. [ABSTRACT FROM AUTHOR]

The special features of some old residential complexes make reconstructing a better option than rebuilding. The complexity of redesign issues, the ability of computers to solve problems, and the capability of evolutionary optimization techniques in architecture make the use of these methods a priority over traditional processes. This paper, while introducing Particle Swarm Optimization (PSO) as one of the swarm intelligence based algorithms, answers the question of how this algorithm can be used to redesign residential complexes. To achieve this, after reviewing the application of PSO algorithms in architectural space planning, the redesign criteria and constraints was divided into four categories; including primary design specifications, contact-related criteria, designer-related criteria and redesign-related constraints. After the quantification process of these criteria, how to implement the algorithm to achieve optimal plans for each of the five plan types available in high-rise apartment complex in Mashhad, Iran, was shown as a case study. [ABSTRACT FROM AUTHOR]

This paper combines forecasts of Australia's population with microsimulation and tenure choice models to generate estimates of housing assistance demand from older Australians in 2031. Our projections suggest that singles retreat from home ownership, while rental tenures become increasingly feminised by 2031 as they turn into the tenures of (constrained) choice for a growing proportion of singles and sole parents. Even if home ownership declines by a modest 5 percentage points, real government expenditure on Commonwealth Rent Assistance for Australians aged 55 years and over in 2031 is projected to be more than three times its level in 2011. [ABSTRACT FROM AUTHOR]

The means of achieving urban consolidation is extensively discussed in urban planning literature. However, it is not completely clear how consolidation goals could be facilitated by promoting homes on smaller lots. The paper addresses the dichotomy in Perth's housing market created by strong policy support for apartments and multi-occupancy dwellings whereas there is an overwhelming demand for larger block single-family residences. We interviewed local government planners and developers to explore their views on appropriate design codes, consumer preferences and the potential for trade-offs. Findings from this study could encourage relevant stakeholders to approach urban consolidation in a more realistic way. [ABSTRACT FROM AUTHOR]

The mismatch between basic household needs and the conditions and characteristics of dwellings is at the centre of residential vulnerability. According to the guidelines established in the international and national level, this paper aims to apply a two-dimensional perspective in urban and housing research. Indeed, the concept of residential vulnerability is used to address, jointly, the areas and social groups at risk due to housing characteristics and conditions. By analysing 2011 Population and Housing Census data, three indicators were developed, linking physical housing conditions to relevant social dimensions. This integrated perspective is used to identify the size and range of residential vulnerability situations brought about by the physical characteristics of dwellings and how they link to relevant social dimensions in the Andalusia metropolitan system. Results revealed significant deficiencies in housing conditions, yielding different impacts by metropolitan area and social group. Although the reported problems did not affect a sizeable proportion of the population, they proved relevant given the severity of the issues addressed and the social groups involved. These shortcomings should constitute a priority for sustainable housing policies and urban plans. [ABSTRACT FROM AUTHOR]

The design of mass housing projects, with their complex array of apartment types and constraints, can be challenging for architects. Automated-organizing programs can assist in exploring various design alternatives, but the computational cost of checking all possible building organizations grows exponentially. This paper describes a method that utilizes a variant of the Constraint Satisfaction Problem (CSP) to bound and direct the growth of search trees. The method allows designers to explore design alternatives using geometrical objects and incorporates constraints related to daylight and privacy evaluation. Two search tree strategies, breadth-first search (BFS) and depth-first search (DFS), are implemented using a custom solver, with DFS proving suitable for larger search trees and BFS being appropriate for searching through the entire tree. By clearly defining the problem and adjusting the constraints, designers can efficiently explore the design space and obtain valid building alternatives in a reasonable time. • Solver employs direct search strategies for constraint solving. • Light and privacy constraints integrated via object-oriented data modeling. • Designers efficiently explore and generate residential complex alternatives. [ABSTRACT FROM AUTHOR]

In the past decades, second homes have caused important transformations in the morphology of traditional village-based settlements in many mountain areas. Such changes are particularly evident in the intense concentration of these buildings in some settlements and can occur in the form of multi-apartment recreational complexes, intentionally designed for second home users. This paper analyses spatial development of registered second homes in the municipality of Bovec, Slovenia, thus contributing to understanding the specifics of this phenomenon in the wider Alpine region, as well as in other mountainous regions. The authors examine the selected characteristics of the municipal second home housing stock (location, age, intensity of the phenomenon) and present the data in detailed cartographic representations. The analysed data were obtained from the statistical censuses and the Real Estate Registry of the Surveying and Mapping Authority of the Republic of Slovenia. [ABSTRACT FROM AUTHOR]

Legislative initiatives regarding universal accessibility promote the elimination of architectural barriers. This is a positive measure as it aims to ensure equal rights and opportunities for disabled people, in accordance with the Convention on the Rights of Persons with Disabilities (United Nations, 2006). One of the challenges facing society today is the determination of reasonable accommodation, a concept that encompasses those necessary modifications and adjustments which do not impose a disproportionate burden. For this purpose, technical, economic and social aspects shall be taken into consideration, as required by legislation. This paper proposes reasonable accommodation in residential buildings, taking into account the different options for its attainment, by applying a multi-criteria analysis based on a wide range of objective indicators of three types: technical, social and economic. This proposal was one of the objectives of the R + D + i Project called "VIVable-From accessible housing to sustainable housing: The essence of reasonable accommodation". From VIVable, the fuzzy multi-criteria assessment method for determining reasonable accommodation may be totally extrapolated to other uses. At the same time, the proposed method may also be extrapolated to other countries where basic requirements for universal accessibility in buildings and equal rights of persons with disabilities are standardized. [ABSTRACT FROM AUTHOR]

Cities around the world are increasingly marked by the proliferation of speculative real estate developments that are owned, but rarely occupied, by the global elite. This paper examines the emergence of a particular form of speculative real estate development unique to smaller college towns across the American South, largely as a result of the regional prominence of American football: the gameday home. Just like luxury real estate in global cities, gameday homes are rarely inhabited by their owners and serve primarily as an investment vehicle, but also serve to reshape the character of urban space and put increased pressure on local housing markets. This paper represents the first known attempt at quantifying and analyzing the local geographies of gameday home investments, using a case study of Starkville, Mississippi. While estimates of gameday homes are inherently fuzzy, it is argued that gameday homes represent somewhere between 5% and 10% of the total housing units in the city. Ultimately, it is argued that even though such vacant investment properties do little to improve the lives of local residents, the tax revenue generated by such properties makes it unlikely that such forms of speculation will be regulated moving forward. • Examines the emergence of a new form of speculative/absentee housing development • Represents the first known attempt at quantifying and mapping gameday homes • Estimates that between 5 and 10% of all housing units in Starkville are gameday homes. • Some city neighborhoods have upwards of 75% of housing units used as gameday homes. [ABSTRACT FROM AUTHOR]

For apartment complexes receiving medium-voltage electrical energies, the apartments can choose an electricity charging method between the single and general contracts in the Republic of Korea. In the single contract, a residential high-voltage rate is applied to the total electrical energy consumptions of households and common areas. On the other hand, in the general contract, different rate plans are applied to the electrical energy consumptions of households and their common areas, where a generic high-voltage rate plan is applied to the common consumption. Hence, depending on the amounts and composition of the consumptions, both contracts have their own strengths and weaknesses in terms of the total electricity charge. The management office of an apartment complex can select its preferred contract considering the amount and composition of the power consumptions on an annual basis. In this paper, we first formulate a model for the contracts and analyze their properties based on Monte-Carlo simulations. We then observe the contract properties through actual metering data from 30 apartment complexes in Korea. From the analysis of this paper, we can select appropriate contract for a given apartment complex and have guidelines for saving electricity charges. The greater the consumption of the electrical energy and the common area portion, the more advantageous the general contract is in terms of reducing electricity charges. [ABSTRACT FROM AUTHOR]

Developing high-rise gated communities is a challenging task for architects and developers because of the conflict of interests. To find a balance between them, regulating minimum distances between buildings is a simple yet practical method. However, laying out many buildings while maintaining adequate spaces is time-consuming and resource-intensive for humans and computers. Architects arrange buildings one by one by a trial-and-error method. Computers prefer multi-variable equation solvers or agent systems to optimize buildings' positions. Computational optimization is faster, but it needs a starting point: human inputs such as building types, counts, and initial layout are critical to the successful result. Knowing the pros and cons of both, the method in the paper takes a hybrid approach by adopting humans' linear workflow and fast-forward it by exploiting computational horsepower. The result is fast and reliable, taking a few seconds to calculate a building layout of a fairly large project. • A practical method of packing buildings on a site without expensive computational algorithms. • Automated building planning solution with minimal user intervention. • Fast calculation – few seconds for a project with 570 units in seven buildings. • Real-time feedback helps architects make design decisions. • Readily applicable on Rhino3d and Grasshopper without additional plug-ins. [ABSTRACT FROM AUTHOR]

[Display omitted] • Techno-economic model of 72-apartment residential complex with rooftop solar. • Tariffs for cost and benefit distribution between stakeholders in embedded network. • Cost-recovery, incentivising efficient behaviour and ensuring consumer acceptance. • Cost-reflective demand charges unacceptable and cannot sustain embedded network. • Implications for tariff design, network regulation and policy. Deployment of rooftop solar photovoltaics on multi-family buildings lags behind other residential buildings sectors, despite the benefit of significantly higher self-consumption achievable by applying on-site generation to aggregated building load. This is, in part, because of challenges in developing suitable business models to ensure the fair allocation of costs and benefits between different stakeholders. Embedded networks can provide a mechanism for consumers to co-ordinate their engagement in the energy market, as well as to distribute on-site generation between multiple households. However, to succeed, an embedded network must deliver benefits to all households as well as providing returns to investors. This paper uses a case-study of a 72-apartment complex in Sydney Australia to explore different ways to distribute the costs and benefits of a potential shared photovoltaic system between apartment owners and residents. A range of tariff structures, including demand or capacity charges as well as fixed and time-varying volumetric charges, are compared for their ability to recover investment costs, incentivise efficient energy behaviour and achieve customer acceptance through fairness and transparency. The analysis demonstrates the tension between these desired outcomes and the significant challenge of designing a mechanism to deliver them all. In particular, tariff structures incorporating peak demand charges, while cost-reflective and efficient, are unable to deliver benefits to all stakeholders and thereby ensure the sustainability of the embedded network. The findings have implications for market design and for policy approaches to support embedded networks and energy communities. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to examine whether salience of neighbor comparison information attracts more attention from residents and consequently leads to significant energy conservation. An eye-tracking experiment on 54 residents in a local apartment complex in Korea found that the average time of attention to the neighbor comparison information increased to 277 ms when the size of the information was four times larger and the information was located to the far left. However, the interviews with the subjects suggest that salience of the information is seemingly unrelated to energy conservation, because most of them did not agree with the social consensus that individuals need to refrain from consuming energy when they know that they have consumed more than the neighbor's average. Utility data on 502 households in the apartments revealed that, of the households notified that they consumed more than their neighbors, only less than 50% reduced their energy consumption, which supports the interview results. Therefore, it was concluded that neighbor comparison information did not lead to significant energy conservation effects in the community, although salience of the information contributed to attracting more attention to the information. Unavailable household data remained as limitation to clarify the effect by households. [ABSTRACT FROM AUTHOR]

Common property (CP) is a significant consumer of electricity in apartment buildings. Although some apartments in Australia have adopted shared microgrid configurations to offset grid consumption, the characteristics and load patterns of CP are rarely discussed due to lack of available data. As common areas normally constitute part of owner corporations, energy distribution in these premises requires attention. This paper presents empirical analysis of the CP load connected to shared solar and battery storage for three apartment complexes located in Perth Australia. Load patterns for CP over a defined dataset period were analyzed, and grid usage reduction was examined by implementing and comparing three energy allocation strategies based on surplus energy utilization. The findings indicated significant grid usage reduction for CP load in different apartments after implementation of three strategies. Instantaneous consumption decreased 72%, and surplus allocation strategy reduced 91%, while consumption-based allocation reduced 76%, of grid electricity. Moreover, consumption-based allocation offered improved cost benefits compared to the other two strategies. The results further revealed the usefulness of energy allocation and effectiveness of surplus energy utilization. Based on outcomes, the strategies provide consolidation with conventional energy trading mechanisms and broadly link to the virtual power plant concept for coordinating energy flows between multiple generators. [ABSTRACT FROM AUTHOR]

Common property (CP) is a significant consumer of electricity in apartment buildings. Although some apartments in Australia have adopted shared microgrid configurations to offset grid consumption, the characteristics and load patterns of CP are rarely discussed due to lack of available data. As common areas normally constitute part of owner corporations, energy distribution in these premises requires attention. This paper presents empirical analysis of the CP load connected to shared solar and battery storage for three apartment complexes located in Perth Australia. Load patterns for CP over a defined dataset period were analyzed, and grid usage reduction was examined by implementing and comparing three energy allocation strategies based on surplus energy utilization. The findings indicated significant grid usage reduction for CP load in different apartments after implementation of three strategies. Instantaneous consumption decreased 72%, and surplus allocation strategy reduced 91%, while consumption-based allocation reduced 76%, of grid electricity. Moreover, consumption-based allocation offered improved cost benefits compared to the other two strategies. The results further revealed the usefulness of energy allocation and effectiveness of surplus energy utilization. Based on outcomes, the strategies provide consolidation with conventional energy trading mechanisms and broadly link to the virtual power plant concept for coordinating energy flows between multiple generators. [ABSTRACT FROM AUTHOR]

• Attempts to create typologies for different forms of apartment ownership are challenging because each system differs in practice due to context. • Similar systems of ownership can result in different outcomes in practice, and different legal systems can result in similar outcomes. • The relationship between legal systems of ownership and owners' experiences is mediated by social, cultural, economic and political context. • This has implications for the success of policy mobilities in systems of apartment ownership. No matter where in the world they live, if a person lives in a city it is increasingly likely that, if they can buy a property, it will be an apartment. Yet the documents a Sydney buyer's lawyer will review will be different to those in New York or Helsinki because there are many different systems of multi-owned property ownership around the world. These differ because of underlying differences in property law, but also because different jurisdictions have dealt with the dual challenges of horizontal subdivision and cooperative management in very different ways. While creating typologies for these different systems is helpful to understand the varied forms they can take, typologies are challenged by the fact each system differs in practice. In this paper, we draw on Ho's (2014) 'credibility thesis' to explain why it is so difficult to classify multi-owned property systems across jurisdictions. We demonstrate that similar legal systems of multi-owned property can result in different outcomes for owners in practice, just as different legal systems can result in similar outcomes. This is because the relationship between legal systems of ownership and the experiences of owners is mediated by local social, cultural, economic and political contexts. [ABSTRACT FROM AUTHOR]