Randomized Estimation of the Net Present Value of a Residential Housing Development

Randomized estimation of the net present value of a housing development allows for the assessment of the efficiency of projects in random implementation conditions. The efficiency of a project is estimated on the basis of primary input data, usually used in project planning. For this purpose, random disturbances are identified that may randomly affect the course and results of the project. The probability and severity of disturbances are determined. The primary initial data is then randomized, and a randomized probabilistic index of the project’s net present value is calculated, the value of which indicates whether the project is profitable or whether implementation should be stopped. Based on this data, the expected total revenue, the expected total cost, the expected gross profit, and the net present value of the randomized performance of the project are calculated. The values of these are estimated for expected, favorable, and unfavorable conditions of implementation. Finally, the risks for the total revenue and total cost of the project are calculated and plotted for comparative revenue values in the range [1, 0] and cost in the range [0, 1]. Their analysis makes it possible to make the right investment decisions before starting the investment at the preparation stage.

Cost-Saving through Pre-Cooling: A Case Study of Sydney

Air conditioning is responsible for a considerable proportion of households’ electricity bills. During summer afternoons when households usually run their air conditioners, the retail time-of-use electricity tariffs are highest, and there is a peak demand in the electricity network. Pre-cooling is a method to shift air conditioning demand from peak hours to hours with lower demand and cheaper electricity tariffs. In this research, the pre-cooling potential of nine different types of residential housing in Sydney constructed with different star ratings and construction weights is evaluated. Star rating is the method to represent the annual heating and cooling requirements of buildings in Australia. Results highlight that pre-cooling produces cost saving for most of the days in 6-star and 8-star buildings. For 2-star buildings, pre-cooling sometimes leads to higher electricity costs. Moreover, pre-cooling improves thermal comfort, especially in 2-star light and medium weight buildings.

Rehabilitating Healthcare: Therapeutic Landscapes as a Catalyst for Health, Well-being and Social Equity

<p>Aotearoa New Zealand is a society with inequality deeply embedded in its culture, and this translates to the health of vulnerable members of the community. In its current state, healthcare infrastructure and rehabilitative landscapes are isolated from one another, creating physical and mental barriers for achieving well-being. Therapeutic landscape research suggests outdoor spaces can facilitate rehabilitative healing, community support, and self-empowerment. This form of preventive and rehabilitative health may bridge the gap between treatment at the institutional level, and day-to-day living, to better support the well-being, of people in transition. The under-utilized interface between the residential landscape and Kenepuru Community Hospital in Porirua is used as a design case study, for testing how hospital infrastructure, residential housing, and therapeutic landscapes may coexist for mutually beneficial health and well-being outcomes. Results suggest that careful design of the interstitial spaces bridging housing with healthcare can form an important service for the well-being of vulnerable people.</p>

Defab: Architecture for a Circular Economy

<p>Mainstream construction practices result in the production of large quantities of toxic waste at all stages of a building’s life cycle. This can be attributed to widespread adoption of irreversible fixing methods that prioritise rapid assembly, bespoke design practices and the increased use of ‘low-value’ materials. Unprecedented levels of consumption and waste production are set to continue as demand for residential housing in New Zealand grows rapidly. In response to these concerns, this thesis aims to develop innovative construction methods that facilitate the development of a Circular Economy for the building industry. The resulting design proposal is a modular architectural construction system with integrated jointing capacity, redundant expansion potential and details that enable the effective separation of discrete building layers. This proposed assembly specification calls for the mass-standardisation of structural components to promote economically viable material retrieval and resale at the end of a building’s useful life. Computer-aided manufacturing technologies are used to facilitate the incorporation of sophisticated reusable assembly parameters into connection details on a large scale. Analysis of the proposed solution indicates that waste over an entire building’s life can be reduced by more than 94% through the deployment of alternative architectural assemblies. Additionally, optimised assemblies enable deconstruction times to be reduced by up to 30% versus conventional light timber framing.</p>

Rehabilitating Healthcare: Therapeutic Landscapes as a Catalyst for Health, Well-being and Social Equity

<p>Aotearoa New Zealand is a society with inequality deeply embedded in its culture, and this translates to the health of vulnerable members of the community. In its current state, healthcare infrastructure and rehabilitative landscapes are isolated from one another, creating physical and mental barriers for achieving well-being. Therapeutic landscape research suggests outdoor spaces can facilitate rehabilitative healing, community support, and self-empowerment. This form of preventive and rehabilitative health may bridge the gap between treatment at the institutional level, and day-to-day living, to better support the well-being, of people in transition. The under-utilized interface between the residential landscape and Kenepuru Community Hospital in Porirua is used as a design case study, for testing how hospital infrastructure, residential housing, and therapeutic landscapes may coexist for mutually beneficial health and well-being outcomes. Results suggest that careful design of the interstitial spaces bridging housing with healthcare can form an important service for the well-being of vulnerable people.</p>

SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp

Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on surfaces is emerging as an important tool for identifying past exposure to individuals shedding viral RNA. Our past work has demonstrated that SARS-CoV-2 reverse transcription-quantitative PCR (RT-qPCR) signals from surfaces can identify when infected individuals have touched surfaces such as Halloween candy, and when they have been present in hospital rooms or schools. However, the sensitivity and specificity of surface sampling as a method for detecting the presence of a SARS-CoV-2 positive individual, as well as guidance about where to sample, has not been established. To address these questions, and to test whether our past observations linking SARS-CoV-2 abundance to Rothia spp. in hospitals also hold in a residential setting, we performed detailed spatial sampling of three isolation housing units, assessing each sample for SARS-CoV-2 abundance by RT-qPCR, linking the results to 16S rRNA gene amplicon sequences to assess the bacterial community at each location and to the Cq value of the contemporaneous clinical test. Our results show that the highest SARS-CoV-2 load in this setting is on touched surfaces such as light switches and faucets, but detectable signal is present in many non-touched surfaces that may be more relevant in settings such as schools where mask wearing is enforced. As in past studies, the bacterial community predicts which samples are positive for SARS-CoV-2, with Rothia sp. showing a positive association.ImportanceSurface sampling for detecting SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is increasingly being used to locate infected individuals. We tested which indoor surfaces had high versus low viral loads by collecting 381 samples from three residential units where infected individuals resided, and interpreted the results in terms of whether SARS-CoV-2 was likely transmitted directly (e.g. touching a light switch) or indirectly (e.g. by droplets or aerosols settling). We found highest loads where the subject touched the surface directly, although enough virus was detected on indirectly contacted surfaces to make such locations useful for sampling (e.g. in schools, where students do not touch the light switches and also wear masks so they have no opportunity to touch their face and then the object). We also documented links between the bacteria present in a sample and the SARS-CoV-2 virus, consistent with earlier studies.

Defab: Architecture for a Circular Economy

<p>Mainstream construction practices result in the production of large quantities of toxic waste at all stages of a building’s life cycle. This can be attributed to widespread adoption of irreversible fixing methods that prioritise rapid assembly, bespoke design practices and the increased use of ‘low-value’ materials. Unprecedented levels of consumption and waste production are set to continue as demand for residential housing in New Zealand grows rapidly. In response to these concerns, this thesis aims to develop innovative construction methods that facilitate the development of a Circular Economy for the building industry. The resulting design proposal is a modular architectural construction system with integrated jointing capacity, redundant expansion potential and details that enable the effective separation of discrete building layers. This proposed assembly specification calls for the mass-standardisation of structural components to promote economically viable material retrieval and resale at the end of a building’s useful life. Computer-aided manufacturing technologies are used to facilitate the incorporation of sophisticated reusable assembly parameters into connection details on a large scale. Analysis of the proposed solution indicates that waste over an entire building’s life can be reduced by more than 94% through the deployment of alternative architectural assemblies. Additionally, optimised assemblies enable deconstruction times to be reduced by up to 30% versus conventional light timber framing.</p>

Dimensions of Students’ Satisfaction with Residential Housing and its Impact on their Loyalty – A South African Study

As an important component of student lifestyle, satisfaction with residential housing has become important in examining student housing quality and services. The current study used five attributes – bedroom environment, building quality, washroom facilities, support services, and leisure room facilities – to examine the relationship between student satisfaction with and loyalty to their residential housing. Each construct was measured using four items on a five-point Likert scale, ranging from 1 ‘Strongly disagree’ to 5 ‘Strongly agree’. The data were collected from South African students aged 18 years and above in tertiary institutions in Johannesburg, using paper-based questionnaires. Four hundred and forty-three (443) usable questionnaires were obtained for the analysis. The results showed that all the attributes, except for the bedroom environment, had a positive and significant relationship with student loyalty to student housing, although the effect was small for all the attributes. The control variables – age and gender – showed a similar relationship in regards to student loyalty. Academic and management implications of this study’s results are also discussed extensively. Overall, students’ satisfaction with residential housing dimensions has a positive and significant impact on their loyalty to the providers of residential housing.

Impact of public water supply unreliability on residential property prices in Marion County, West Virginia

Water supply unreliability in many public water systems stems from aging infrastructure. We measure unreliability by the issuance of boil water notices (BWNs) within one year prior to single-family residential sale observations. Using a spatial quantile regression framework on transactions between 2012 and 2017, we find statistically significant, negative relationships between BWNs and residential properties. The estimated impacts of unreliability on residential housing prices, however, are not uniform across the distribution of prices. Specifically, we find that BWNs have a larger impact on medium- to low-priced houses (at or below the 60 percent quantile) compared with high-priced houses. An aggregate marginal willingness-to-pay value of $4.2 million was computed for a one-day reduction in annual BWN throughout Marion County.

How Does the Effect Fade over Distance? An Inquiry into the Decay Pattern of Distance Effect on Property Values in the Case of Taipei, Taiwan

It is generally accepted that the perception of homeowners towards certain potential risks or amenities fades as distance from the risk or amenity increases. This study aims to illustrate the distance–decay pattern with an appropriate mathematical function. Distance–decay functions and parameters that yield the minimum residual sum of squares (RSS) for a given regression model are considered to be the optimal approximation for the pattern of decay. The effect of flood risk and mass rapid transit (MRT) accessibility on residential housing prices in Taipei, Taiwan, are used as examples to test the optimization process. The results indicate that the type of distance function affects both the significance and the magnitude of the regression coefficients. In the case of Taipei, concave functions provide better fits for both the flood risk and MRT accessibility. RSS reduction is up to 10% compared to the blank. Surprisingly, the impact range for the flood risk is found to be larger than that for MRT accessibility, which suggested that the impact range of perception for uncertain risks is larger than expected.