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The primary objective of this study was to evaluate the influence of greenery on residential mobility within purpose-built student housing facilities in Northern Ghana.

This research employed a structured questionnaire and utilized an experimental block design, encompassing 124 comparative greened and non-greened student housing facilities, with a total of 995 resident participants. The impact of greenery on residential mobility was analyzed using a repeated sales model and t-test analysis.

Results revealed that residential mobility was significantly higher in non-greened student housing facilities than their greened counterparts. The study further indicated that the presence of greenery had a substantial effect on residential mobility, attributed to residents' preferences for the ecological, social and economic benefits associated with greenery, rather than merely infrastructure considerations.

Enhancing the aesthetic appeal, economic viability, safety, security and health benefits of greened student housing facilities while managing the influence of greenery on infrastructure was found to affect residential mobility. The findings suggest that improving occupancy rates in these facilities through the incorporation of greenery could yield higher rental income and better cash flows for investors involved in student housing operations.

This study highlights the ecological, social and economic advantages of greenery for residents. While the benefits of greenery in residential contexts are increasingly recognized, the specific impact of greenery on residential mobility within the Sub-Saharan African context represents a novel contribution. The application of neighborhood effects theory to the examination of greenery benefits and residential mobility in this region adds a new dimension to existing research.

This study aims to establish the relationship between indoor environmental quality and residential mobility in student housing in Ghana.

Using multiple regression and exploratory factor analysis through post occupancy evaluation, 26 indoor environmental quality (IEQ) indicators were explored among 1,912 students living in Purpose-Built off-campus university housing in Northern Ghana.

The study established a negative relationship between indoor environmental quality and residential mobility among student housing in Northern Ghana. Residential mobility is primarily attributed to the dissatisfaction with thermal and indoor air quality.

The negative relationship affects vacancy and rental cashflows for property investors. Also, understanding local environmental conditions can influence future student housing design and enhance thermal and indoor air quality.

The authors contribute to studies on indoor environmental quality in student housing. In addition, establishing the relationship between indoor environmental quality and residential mobility in tropical African regions is novel.

The socialist approach to housing in Croatia was to give tenants strong, and to some extent rigid, rights. During this paradigm, market renting was also discouraged. The policy privileged tenants and gave them subsidized rent, but it also limited their spatial mobility if they did not want to lose that privileged status. After independence, two vital processes on the housing market were undertaken: the privatization of socially owned housing stock and denationalization. Consequently, the stock of apartments previously owned by the companies and the state was sold to the ‘tenancy right’ holders for just a small part of its market value, resulting in more than 80 per cent of apartment users becoming legal owners. That is a positive outcome from a social policy perspective, but it could endanger the mobility of the Croatian labour force. Price developments and turnover dynamics are still bounded by underdeveloped and outdated cadastre as well as strong regional differences.

In France, social housing provides a significant proportion of housing services. The present contribution seeks to identify housing careers for social tenants, using event history analysis on a sample of over 40,000 households located in the Lille metropolitan area (in northern France). The data was provided by a local social housing company, and contains extensive geographical information. The analysis was conducted for the metropolitan area and for its three main cities (Lille, Roubaix and Tourcoing). This made it possible to measure the effect of geographical location at both the agglomeration and neighbourhood levels. Our main results are threefold. First, access to better housing depends more on individual characteristics than on residential location; thus, it appears that comparatively favoured households may use social housing to increase their “upward mobility.” Secondly, forced mobility (eviction) depends on household histories and characteristics, but is spatially heavily concentrated. Finally, urban renewal, by increasing the quality of the built environment, tends - at least in some neighbourhoods - to make social housing more desirable (by giving households a stronger incentive to stay). It may thus improve the quality of life of people who are less likely to become homeowners or to access larger/more comfortable houses.

Concerning migration on a national level, two phenomena emerge: people migrating from one region to another and people moving from the countryside to the cities. The geographical shift of the population between regions in a country is a slow process. In Sweden, only a few percent of the population migrate yearly. Nevertheless, migration has caused and still causes considerable redistribution of the population toward the metropolitan regions in Sweden. This section will emphasize general trends in population concentration through urbanization and migration in Sweden and compare these trends with changes in other countries.

This study aims to analyze the impact of COVID-19 on housing price within four major metropolitan areas in Texas: Austin, Dallas, Houston and San Antonio. The analysis intends to understand economic and mobility drivers behind the housing market under the inclusion of fixed and random effects.

This study used a linear mixed effects model to assess the socioeconomic and housing and transport-related factors contributing to median home prices in four major cities in Texas and to capture unobserved factors operating at spatial and temporal level during the COVID-19 pandemic.

The regression results indicated that an increase in new COVID-19 cases resulted in an increase in housing price. Additionally, housing price had a significant and negative relationship with the following variables: business cycle index, mortgage rate, percent of single-family homes, population density and foot traffic. Interestingly, unemployment claims did not have a significant impact on housing price, contrary to previous COVID-19 housing market related literature.

Previous literature analyzed the housing market within the first phase of COVID-19, whereas this study analyzed the effects of the COVID-19 throughout the entirety of 2020. The mixed model includes spatial and temporal analyses as well as provides insight into how quantitative-based mobility behavior impacted housing price, rather than relying on qualitative indicators such as shutdown order implementation.

Ageing populations provoke the question of how much bespoke housing should be provided for the elderly. Older people are generally reluctant to move but as they age health circumstances may encourage moves into specialised accommodation. This paper aims to report on an exercise in estimating the future demand for specialised independent living housing and the extent to which that demand will be for owner occupied accommodation or renting, using data for England.

The most important predictor of demand for specialised housing is the extent of the requirement for at least some degree of long‐term care due to loss of mobility. Therefore, the forecast is formulated around a behaviour‐based model centred on demographic, personal physical mobility and housing tenure factors.

The forecasts indicate a substantial increase in demand, growing at a faster rate than the population as a whole. If supply does not rise to meet these demands, serious problems arise in the quality of life of, and cost of caring for, older people with implications for health care and social services. Moreover, some of the greatest growth is going to be amongst those aged 75 to 84 and amongst the very old 85+ group.

The forecast is based on ELSA estimates. Data on activity and ageing are available from the English Longitudinal Survey of Ageing's (ELSA) Wave 4 2008 data set.

The implication is that in the future far more provision of housing for the elderly will have to take place in the private sector. However, the market provision of specialised retirement housing is likely to be very inadequate for predicted needs. A significant cause of this is a chronic planning‐induced land shortage which keeps the price of retirement accommodation high.

The continuing shortage of specialised housing will mean that hundreds of thousands of the elderly will continue to live in their existing accommodation when bespoke property would better suit their needs. This will further exacerbate general housing shortages, especially as the empty nester elderly do often own substantial family homes. It will also put pressures on care home sector because, in the absence of an appropriate intermediate stage, more will be pushed into care.

It could be argued that the assumptions made in this forecasting exercise contain a number of essentially arbitrary statements. But that is to miss the point of this exercise, which is to suggest that a large potential demand exists on plausible estimates of who might benefit from living in specialised retirement housing.

An important question from the point of view of neighbourhood dynamics is the extent to which households are satisfied with where they live and their mobility patterns. Many of these factors can be assessed by looking at evidence on moving expectations in relation to household, dwelling and neighbourhood attributes. In this paper we examine evidence from London to examine the major factors affecting expectations. The descriptive data make it clear that there are important differences between tenure, satisfaction and expectations of moving. Once these are examined more formally in a model which introduces background, accommodation and neighbourhood variables sequentially, it becomes clear that patterns differ between the private sector, where household variables remain important, and the social sector, where dwelling variables dominate. Across all tenures the impact of neighbourhood is surprisingly limited, given the extent of dissatisfaction expressed. In policy terms this suggests that, in the UK context, the policy emphasis should be as much on changing the nature of the social rented tenure as on improving accommodation and allocation.

The aim of this chapter is to investigate regional inequality and centralization tendencies in Sweden. For this, we use official data from Statistics Sweden on house prices and employment. The data is on the municipality level and covers the period 1985–2014. The research question then becomes, in relation to employment and house prices, which municipalities have gained and which have lost during this period? The time period has been divided into three subperiods that reflect different phases in the process of economic structural change. Two major economic crises are used to signal the end and the start of new structural phases in the Swedish economy. The study uses two dimensions of local economy: employment rates and house prices in municipalities in relation to the national mean. The results indicate increasing divergence between Swedish municipalities over the period. However, the magnitude of the divergence differs within the studied period. Particularly, when it comes to house prices, the third subperiod (2009–2014) shows increasing divergence between Stockholm and Gothenburg in relation to Malmö and the rest of country. Further, when we study the two dimensions simultaneously in accordance with our model, the number of municipalities with above-national-mean employment rates and house prices decreases over time. In the last period, 2009–2014, municipalities with means above the national mean are concentrated in urban agglomerations mainly located close to Sweden’s three largest cities.

Residential mobility is a dynamic urban process resulting from the ever changing internal and external factors of households' residential preferences. Factors effecting these preferences are related to households'perception of spatial issues such as the characteristics of a house, accessibility to urban functions and transportation, land values and house prices, neighborhood characteristics, residential satisfaction, and attachment. The effects of these issues vary through the life cycle as well as social, economic, and employment status of a household. As a result of the legal arrangements and state incentives that have helped to develop the construction industry, current housing patterns have shifted in Istanbul since the 2000s'. This study aims to investigate the changing trends in the factors that affected the residential location preferences of Istanbulites from 2006 to 2014. Data was collected through a stratified sampling method from two different surveys in 2006 and 2014. The paper explains the change in the destination choice of residents in the city at the district level and furthermore, changes in the households' intention to move to one of the three different housing patterns which are common in the city.