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This study aims to examine the housing outcomes of natives and multiple generations of non-natives using a longitudinal survey data in Britain.

The authors use longitudinal data from Britain, in which they can observe multiple generations of immigrants and their demographic and economic information.

The probability models for housing tenure reveal significant variation in the outcomes which are robust to several econometric specifications.

As migration and its impact on local economy is a highly debated topic across several major regions of the world, the findings bring out important insights with policy implications. The research is limited by the sample size of the longitudinal survey.

The empirical evidence on the topic is quite limited with mixed findings. Especially, the authors’ ability to look through multiple generations is unique in identifying the variation in housing outcomes for the native and non-native citizens.

Urban renewal through the regeneration and redevelopment of public housing estates has become a major policy initiative in most Australian state housing authorities since the mid-1990s. These policies have involved a mix of both physical renewal and community development in response to the problems that have emerged in the public housing sector over the past two decades. While the origins of these problems are well established and reflect the changes experienced by public housing sectors in other comparable countries (Hayward, 1996; Peel, 1995), the impact of policies to address these problems in the Australian context has attracted less attention in the academic literature (Arthurson, 1998; Randolph & Judd, 2000). While there is an emerging body of evaluation and research that has attempted to assess the outcomes of renewal programmes and policies, it can be argued that there is still a relatively poor level of general understanding of what aspects of renewal are effective or what outcomes have actually been achieved. At the same time, there has been little effective development of an exchange between researchers or evaluators on the effectiveness of the various evaluation methodologies – qualitative and quantitative – that have been used to assess renewal policies. This is particularly evident at the national level (Spiller Gibbin Swan, 2000).

With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to predict housing market activities and secondly embraced a GIS approach to explore what people search for housing and what they chose and investigated the issue of mismatch between search patterns and revealed patterns. Based on the analysis, the paper contributes a visual GIS-based approach which may help planners and designers to make more informed decisions related to new housing supply, particularly where to build, what to build and how many to build.

The paper used the 2013 housing search data from Rightmove and the 2013 price data from Land Registry with transactions made after the search period and embraced a GIS approach to explore the potential housing demand patterns and the mismatch between searches and sales. In the analysis, the paper employed the K-means approach to group prices into five levels and used GIS software to draw maps based on these price levels. The paper also employed a simple analysis of linear regression based on the coefficient of determination to investigate the relationship between online property views and values of house sales.

The result indicated the strong relationship between online property views and the values of house sales, implying the possibility of using search data from online property portals to predict housing market activities. It then explore the spatial housing demand patterns based on searches and showed a mismatch between the spatial patterns of housing search and actual moves across submarkets. The findings may not be very surprising but the main objective of the paper is to open up a potentially useful methodological approach which could be extended in future research.

It is important to identify search patterns from people who search with the intention to buy houses and from people who search with no intention to purchase properties. Rightmove data do not adequately represent housing search activity, and therefore more attention should be paid to this issue. The analysis of housing search helps us have a better understanding of households' preferences to better estimate housing demand and develop search-based prediction models. It also helps us identify spatial and structural submarkets and examine the mismatches between current housing stock and housing demand in submarkets.

The GIS approach in this paper may help planners and designers better allocate land resources for new housing supply based on households' spatial and structural preferences by identifying high and low demand areas with high searches relative to low housing stocks. Furthermore, the analysis of housing search patterns helps identify areas with latent demand, and when combined with the analysis of transaction patterns, it is possible to realise the areas with a lack of housing supply relative to excess demand or a lack of latent demand relative to the housing stock.

The paper proves the usefulness of a GIS approach to investigate households' preferences and aspirations through search data from online property portals. The contribution of the paper is the visual GIS-based approach, and based on this approach the paper fills the international knowledge gap in exploring effective approaches to analysing user-generated search data and market outcome data in combination.

Homelessness is a colossal issue, precipitated by a wide array of social determinants, and mirrored in substantial health disparities and a revolving hospital door. Connecting people to safe and secure housing needs to be part of the health system response. The paper aims to discuss these issues.

This mixed-methods paper presents emerging findings from the collaboration between an inner city hospital, a specialist homeless medicine GP service and Western Australia’s inaugural Housing First collective impact project (50 Lives 50 Homes) in Perth. This paper draws on data from hospitals, homelessness community services and general practice.

This collaboration has facilitated hospital identification and referral of vulnerable rough sleepers to the Housing First project, and connected those housed to a GP and after hours nursing support. For a cohort (n=44) housed now for at least 12 months, significant reductions in hospital use and associated costs were observed.

While the observed reductions in hospital use in the year following housing are based on a small cohort, this data and the case studies presented demonstrate the power of care coordinated across hospital and community in this complex cohort.

This model of collaboration between a hospital and a Housing First project can not only improve discharge outcomes and re-admission in the shorter term, but can also contribute to ending homelessness which is itself, a social determinant of poor health.

Coordinated care between hospitals and programmes to house people who are homeless can significantly reduce hospital use and healthcare costs, and provides hospitals with the opportunity to contribute to more systemic solutions to ending homelessness.

This paper is an account of the discussions and recommendations by the exper t advisory panel on potential metrics and ‘sentinel indicators’ for improved outcomes in housing and mental health, as par t of an inter‐agency seminar called to advise on the development of metrics and measures for community mental health, for Fair Society, Healthy Lives: The Marmot Review (Marmot, 2010). The seminar covered all aspects of mental health in both its broadest and narrower senses.Much of the background material for these discussions, therefore, cuts across familiar knowledge silos between the fields of health and housing. Where it is necessary to elucidate the text, references are included to relevant research and policy frameworks that may be unfamiliar to the general reader. This paper is not, however, intended as a general literature review nor is it an evaluation of the available research. A paper on this subject will feature in a future issue of the Journal.1The conclusions from the panel discussion are presented in four main areas, reflecting the need to specify metrics across the wide‐ranging interface between housing and mental health, while still keeping the task manageable. Five current or potential health service metrics were proposed as having par ticular value as signal indicators. Two of these (relating to primary care prevention and public health) have no precision as yet, par tly as new services and approaches are still evolving. Among existing health datasets, the Mental Health Minimum Dataset (MHMDS) (NHS Information Centre, 2009a), SITuation REPor ts (SITREPS) (Department of Health, 2003), and the Summary Care Record data were singled out, though each is thought to need more work to improve the current data categories as well as data collection.One rather more fundamental point made was that the identifying, assessing and encouraging of effective inter‐sector par tnership work will be the key to tackling health inequalities. The use of other, non‐health services data therefore holds great potential for a better recognition both of needs and of outcomes in successful par tnership work, especially where this can be interpreted at local level. These wider comments are elaborated in the context of housing, but may be applicable to all effor ts to evidence and work with the social determinants and the social outcomes of mental health. For the future, a combination of well‐crafted nationally sanctioned metrics and the ‘soft intelligence’ of locally identified meaning may be most effective.Subsequent developments confirm the potential in cross‐sector development work, and indicate the potential for fur ther collaboration via the local performance framework. As policy frameworks continue to evolve rapidly, the ar ticle ends with a Codex, updating the relevant policy frameworks context since the seminar (in Spring 2009) and especially in the context of a new coalition government with aspirations to ar ticulate and promote public health in the context of the local performance framework and the ‘new localism’ agenda. This final section and comments therein are therefore entirely the responsibility of the author.

The purpose of this study is to present an overview of the existing knowledge on the combined application of lean, off-site and simulation (LOS) in housing delivery.

A systematic literature review approach was adopted. Based on a comprehensive search using Scopus, Web of Science and the International Group for Lean Construction databases, 66 relevant journal articles were identified and analysed.

This study found that the most significant impacts of the combined application of LOS in housing delivery are the capacity to visualise the production processes as a whole in real time, exposure and removal of non-value-adding activities from the production and faster delivery. However, the combined application of LOS is low compared to a single application of each technique in housing delivery.

The results provide relevant stakeholders and actors in the housing sector (private and public housing developers, off-site housing manufacturers and constructors, housing associations and government housing agencies, among others) with the information needed to improve the outcomes of housing delivery through the application of LOS.

This study contributes to the ongoing debate on addressing the global housing shortage by presenting an integrated overview of the existing knowledge on the impact of the nexus of LOS and providing compelling evidence for its usage in housing delivery. It also demonstrates how the combined application of LOS supports the achievement of the flow and value view in the transformation flow value model, which was not previously reported.

Although rental housing has historically maintained a peripheral position within the community-building sphere, the current economic volatility is evidence of how imbalanced housing policy can impact overall stability, particularly among low-income people within low-income communities. Economic and other macro-environmental shifts will have lasting and poignant impacts on low-income geographies; therefore, the state of rental housing within the context of urban neighborhoods will continue to be a critical policy matter. This research explores whether the low-income housing tax credit (LIHTC) program encourages the development of housing with the physical and operational attributes that strengthen low-income neighborhoods. Given the program's growing dominance, this study analyzes whether specific characteristics associated with neighborhood revitalization are prevalent in LIHTC properties located within qualified census tracts. Also examined are the methodologies among nonprofit developers and for-profit developers relative to these development characteristics.

The findings indicate that properties under 50 units are more likely to be located within suburban qualified census tracts. Within the urban core, the results reveal that qualified census tract LIHTC developments are more often serving extremely low and low-income families. The research outcomes also show that nonprofit developers are more likely to serve lower incomes and utilize certified property management agents for these properties. Given the unique needs of urban and suburban low-income neighborhoods and a national environment that portents a growing dependence upon the LIHTC, the findings suggest that both enhanced coordination between state, regional, and local interests and innovation in resource allocation policy are critical to erasing the neighborhood divide that marginalizes low-income people in low-income communities.

Delivering housing to resource-constrained communities (RCCs) is a complex process beset with difficulties. The purpose of this study is to use a complexity lens to examine the approach taken by a social enterprise (SE) in Australia to develop and manage a housebuilding supply chain for RCCs.

The research team used a longitudinal case study approach from 2017 to 2022, which used mixed methods to understand the phenomenon and gain an in-depth understanding of the complex issues and problem-solving undertaken by an SE start-up.

Balancing mission logic with commercial viability is challenging for an SE. The supply chain solution that evolved accommodated the particulars of geography and the needs of many stakeholders, including the end-user community and government sponsors. Extensive and time-consuming socialisation and customisation led to a successful technical design and sustainable supply chain operation.

Analysing supply chain intricacies via a complexity framework is valuable for scholars and practitioners, assisting in designing and developing supply chain configurations and understanding their dynamics. Meeting the housing construction needs of RCCs requires the SE to place societal focus at the centre of the supply chain rather than merely being a system output. The developed business model complements the engineering solution to empower a community-led housing construction supply chain.

This longitudinal case study contributes to knowledge by providing rich insights into the roles of SEs and how they develop and operate supply chains to fit with the needs of RCCs. Adding a contextual response dimension to an established complexity framework helped to explain how hybrid organisations balance commercial viability demands with social mission logic by amending traditional supply chain and governance practices. The case provides insights into supply chain configuration, needed changes and potential impacts when an SE as a focal actor inserts into a traditional for-profit construction supply chain.

This paper draws on research conducted after the 2004 Indian Ocean Earthquake and Tsunami in Aceh, Indonesia, where more than 100,000 houses were built by various agencies following the massive disaster. The research reveals that the residents in Aceh rarely see their reconstruction houses as ‘complete’ and modify these houses to suit their personal needs and aspirations. The relationships between the global and regional forces that drive reconstruction agency housing procurement and production are explored, and compared with the outcomes of user-initiated modifications to the houses. From the hundreds of houses reviewed, here four houses are discussed in detail, built by the Asian Development Bank, representing a global paradigm, and Bank Mandiri, representing a regional paradigm. These houses were modified and extended to varying degrees by their residents, exemplifying the ways in which reconstruction agencies, perhaps inadvertently, empowered residents by enabling them to improve their own housing. The outcomes of this transformation process underscore the advantages of a hybrid between global and regional styles, and the desire of the reconstruction housing residents to recapture some of the local housing culture and reflect regional housing characteristics.

Studies have shown positive housing retention and quality of life outcomes in moving on initiatives (MOIs). However, less is known about how movers’ health service use changes post-move. This paper aims to explore physical and mental health service use over time for participants in New York City’s MOI program.

This paper uses data collected at baseline, 12-months post move and 24-months post move to explore patterns in mental and physical health service use and their association with mental and physical health status for participants (N = 41). Health status was measured with the Medical Outcomes Study Short Form Survey Instrument.

Three mental health service use patterns emerged: service use at all time points, inconsistent service use across time points and no service use at any time point. Significant group differences in mental health were found at baseline and 12 months. Two physical health service use patterns emerged: service use at all three time points and inconsistent service use across time points. Significant group differences were found in mental health at 12  and 24 months.

This study showed that physical and mental health service use varied slightly over time for participants, with the majority of service use being for outpatient/non-acute care. The findings also point to possible relationships between service use and mental health status. Positive and negative implications of these findings are framed within the broader context of PSH and MOI goals.