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As is the case internationally, there is also an increased focus on urban space diversity in South Africa. Is it appropriate to pursue place diversity in South Africa? If so, what are the design factors that support place diversity and can these be accommodated by the development of medium density mixed housing in the country? Furthermore, could these emerging trends be considered as part of a larger global trend moving towards greater place diversity in cities, or does it only offer local fragments and practices of fashionable international ideas? This paper explores the multiple meanings of place diversity in the country as evident in the development of medium density mixed housing developments and highlights a number of paradoxes that emerge as a result of the context-specific realities.

This paper adds to the emerging knowledge base in the Nigeria and is of relevance to all residential property stakeholders. A number of empirical studies have demonstrated that several factors influence residential property values. However, there is a paucity of empirical research on critical factors influencing rental value of residential property in Nigeria. The purpose of this paper is to serve to address this gap by examining critical factors influencing rental value of residential property in the three densities area of Ibadan metropolis, Nigeria.

The study used random sampling to select 624 residential properties out of 3,120 residential properties in the portfolio of 52 Estate Surveying and Valuation firms located within Ibadan metropolis, Nigeria. Data collected were analysed using a hedonic pricing specification.

The results show that different critical factors influences rental values of different types of building in different residential densities. Number of bathroom (NOB), number of living room (NOL) and existence of burglar alarm (EOBA) were critical to bungalow in the whole area of Ibadan while number of toilet (NOT) was critical to duplex. In low-density area; residential location and EOBA have a significant positive impact on rental value of bungalow while NOT, NOBs (NOR), NOL and EOBA have a significant positive impact on detached house. However, it was NOR and EOBA that were critical in the medium density to bungalow.

The study concluded that each of the residential densities is homogenous and, therefore, every residential property stakeholders should recognise the importance of each factor on rental values so that their valuation estimates will be useful and reliable.

The study is one of the few attempts at examining factors affecting residential property value. This paper examined critical factors influencing rental value of residential property in the three densities area of Ibadan metropolis, Nigeria.

In 2016 all new houses in England and Wales must be zero carbon. To date most work in zero carbon housing has been carried out on detached family housing typologies. Practice has shown that one of the overriding factors in the struggle to achieve zero carbon status (Code for Sustainable Homes Level 6) is the projected significant increase in construction cost. While grant funding can offset some of this increase, further costs savings will be required to allow developers to deliver affordable homes within reasonable profit margins. One result of this will be a reduction in design quality; which will impact on the quality of the spaces provided and the robustness and longevity of the construction and finishes. In order to deliver better design standards, higher density attached family housing models should be considered to ensure that a proportion of the projected increase in cost of the building fabric can be transferred to the internal volume of the house, thus achieving better quality living spaces. The following paper reviews the context for future housing provision in the UK and examines two existing medium density terraced housing developments. The existing examples reflect two contrasting approaches: one derived from low-energy principles utilising minimum space standards, the other reflecting the need for high quality spaces but at premium cost. A new medium density terrace model is proposed that deals with these conflicting demands to demonstrate that it is possible to provide affordable, high quality, higher density, family housing whilst meeting low energy targets.

This paper aims to highlight the pertinent design issues that could impact upon satisfaction with apartment living. Till date, the literature review identifies “design inadequacies”, along with a range of other factors, in embracing apartments as a permanent housing option.

This paper presents findings from a face-to-face household survey undertaken in a medium-density apartment housing in Fairfield, Sydney, using a mixed method.

First, the paper states the four predictors of overall living satisfaction derived through a logistic regression analysis. Second, the top five variables that commanded high dissatisfaction and the two most negative aspects of apartment living for the open-response question are identified. Further, it discusses the possible influence of dwelling floor on residential satisfaction. The coherent narratives of the residents substantiate the design inadequacies from the aforementioned empirical analysis.

The paper reflects upon ideal design suggestions from a face-to-face household survey, the first of its kind in more than 30 years in Sydney.

The microseismic monitoring technique has great advantages on identifying the location, extent and the mechanism of damage process occurring in rock mass. This study aims to analyze distribution characteristics and the evolution law of excavation damage zone of surrounding rock based on microseismic monitoring data.

In situ test using microseismic monitoring technique is carried out in the large-span transition tunnel of Badaling Great Wall Station of Beijing-Zhangjiakou high-speed railway. An intelligent microseismic monitoring system is built with symmetry monitoring point layout both on the mountain surface and inside the tunnel to achieve three-dimensional and all-round monitoring results.

Microseismic events can be divided into high density area, medium density area and low density area according to the density distribution of microseismic events. The positions where the cumulative distribution frequencies of microseismic events are 60 and 80% are identified as the boundaries between high and medium density areas and between medium and low density areas, respectively. The high density area of microseismic events is regarded as the high excavation damage zone of surrounding rock, which is affected by the grade of surrounding rock and the span of tunnel. The prediction formulas for the depth of high excavation damage zone of surrounding rock at different tunnel positions are given considering these two parameters. The scale of the average moment magnitude parameters of microseismic events is adopted to describe the damage degree of surrounding rock. The strong positive correlation and multistage characteristics between the depth of excavation damage zone and deformation of surrounding rock are revealed. Based on the depth of high excavation damage zone of surrounding rock, the prestressed anchor cable (rod) is designed, and the safety of anchor cable (rod) design parameters is verified by the deformation results of surrounding rock.

The research provides a new method to predict the surrounding rock damage zone of large-span tunnel and also provides a reference basis for design parameters of prestressed anchor cable (rod).

Rental housing is an important form of accommodation; evaluating its quality will improve the quality of designs, standard living of renters, new dimension to policy guiding rental housing and enhance the values of rental houses. This study aims to examine the factors influencing rental housing quality in Ile-Ife, Nigeria.

Multi-stage sampling procedure was used to select tenants for the study. Residential areas were stratified into three densities: high, medium and low. Out of the 18 residential areas identified, six, eight and four were in the high, medium and low densities, respectively. Five residential areas were selected based on high concentrations of rental housing. The selected areas are Mokuro and Iloro (high density), Ife City and Eleyele (medium density) and Aladanla (low density). Systematic sampling technique was used to select 550 buildings where an adult tenant was selected per building for questionnaire administration.

The results of the principal component analysis established that four factors were generated for the high-density, nine factors for the medium-density and five factors for low-density areas as the major factors influencing rental housing quality. The variation in the number of factors generated and the percentage variance explained by the factors could be associated to the peculiarities across the densities in terms of the socioeconomic characteristics and housing characteristics of the renters.

This study examined the factors influencing housing quality for renters in Ile-Ife, Nigeria. It provides information on the three residential densities in terms of the variation in their housing morphology. The study went further to establish the relationship among the three musketeers such as socioeconomic characteristic of renters, housing characteristics and housing quality, under three dimensions environmental, internal building and external Building. Therefore, the contribution of this study strengthens the position that a minimum standard and schedule of upgrade and maintenance should be meted out for landlords to carry out repairs at interval, so as to make the housing unit and environment habitable for tenants.

The introduction of higher density housing development within suburban areas has been favoured by state governments in Australia as a means of improving the efficiency of land use, reducing the costs associated with the delivery of government services and promoting home ownership. However it has been hypothesised that such development may have a negative impact on neighbourhood social structure, for example reducing diversity as measured by economic status and family makeup or in local housing market performance as measured by price. This paper aims to test this hypothesis.

The methodology employs a quantitative approach with principal components analysis used to capture the main social structure of the Adelaide Statistical Division. Social constructs, the product of principal components analysis, are used to measure outcomes of higher density development as measured by community or household change.

The results in this paper show that densification has had significant impact on certain neighbourhoods in the Adelaide Statistical Division notably in relation to their built form but not necessarily in neighbourhood structure or housing market performance.

The findings are significant in highlighting that increasing medium densities and improving tenure mix may not necessarily improve the opportunities for socio‐economic mix or for cultural diversity with implications for policy makers seeking to follow strategies based on the promotion of mixed communities.

This paper seeks to add new research on the outcomes of higher density development in Australia in three ways. First, social constructs, the product of principal components analysis, are used to measure outcomes of higher density development as measured by community or household change. Second, the paper investigates the development at the local level where impacts are likely to be most important. Third, the analysis identifies a before and after scenario for those suburbs where higher density development has been most significant.

New Zealand’s historical housing stock comprises largely single-storey detached houses, characterised by poor winter comfort with high air infiltration. Challenges with affordability and land use are shifting New Zealand’s housing stock towards double-storey, conjoined medium-density housing (MDH). Reduced external surfaces in this typology should reduce winter heat loss and infiltration, improving winter comfort and health. New concerns arise, however, regarding summertime overheating and poor indoor air quality.

A field study was undertaken where temperature, humidity, airtightness, particulate matter (PM) and total volatile organic compounds (TVOC) were measured in two unoccupied, newly built double-storey, conjoined houses, for several weeks over summer.

The reduced surface area of this typology did not reduce infiltration and demonstrated significant periods of overheating. Internal PM concentrations generally exceeded outdoor concentrations but did not exceed annual average outdoor PM10 guidelines of 20 µg m-3. Infiltration factors (Finf) were closer to more traditional houses. TVOC readings varied widely, but frequently exceeded international guidelines.

The small sample limits the applications of conclusions more widely. Recommendations to investigate a wider sample in different locations with more detailed VOC analysis over all seasons are made.

Improvements to internal environments cannot be guaranteed by housing typology changes alone and must still involve thoughtful environmental design.

Housing typology changes may not improve internal living environments.

A move to the new MDH typology may not achieve expectations of airtightness and thermal improvement. New challenges arise from significant overheating and high TVOC levels, which may lead to new negative health effects.

This paper aims to discuss the utilization of artificial neural networks (ANNs) and multiple regression method for estimating surface roughness in milling medium density fiberboard (MDF) material with a parallel robot.

In ANN modeling, performance parameters such as root mean square error, mean error percentage, mean square error and correlation coefficients (R²) for the experimental data were determined based on conjugate gradient back propagation, Levenberg–Marquardt (LM), resilient back propagation, scaled conjugate gradient and quasi-Newton back propagation feed forward back propagation training algorithm with logistic transfer function.

In the ANN architecture established for the surface roughness (Ra), three neurons [cutting speed (V), feed rate (f) and depth of cut (a)] were contained in the input layer, five neurons were included in its hidden layer and one neuron was contained in the output layer (3-5-1).Trials showed that LM learning algorithm was the best learning algorithm for the surface roughness. The ANN model obtained with the LM learning algorithm yielded estimation training values R² (97.5 per cent) and testing values R² (99 per cent). The R² for multiple regressions was obtained as 96.1 per cent.

The result of the surface roughness estimation model showed that the equation obtained from the multiple regressions with quadratic model had an acceptable estimation capacity. The ANN model showed a more dependable estimation when compared with the multiple regression models. Hereby, these models can be used to effectively control the milling process to reach a satisfactory surface quality.

The study had examined the dynamism in rental housing characteristic in Ile-Ife, Nigeria.

Data were collected through questionnaire administration on 550 tenants selected across high, medium and low density areas, using systematic random sampling.

Findings revealed that rented apartments in the traditional town are built with modern materials like sandcrete blocks, cement, corrugated roofing sheet and aluminium. Further findings revealed a statistical significant variation in the rental housing typologies across the residential densities (χ² = 94.732^a, df = 10 and p = 0.000). The dominant housing typology in the low income earners areas is rooming apartments known traditionally as (face-to-face), in the middle income earners areas detached and semi-detached bungalows (Mini, 2bedroms and 3 bedrooms flat); and lastly, bungalows and duplexes dominates the high income earners areas. Therefore, the study likened the variation across the income areas to deferential in socioeconomic characteristics of tenants, surroundings peculiarities and the landlord and tenant relationships.

The outcome of this study could strengthen policies in creating design standards for construction of housing for renters; this is step towards achieving Sustainable Development Goal (SDG) 11, creating an inclusive communities.