Residential environments are central to addressing urban heat stress for vulnerable populations and are prime target areas for implementing climate adaptation strategies. The reliance on urban heat island (UHI) intensity mapping alone has been argued to provide limited guidance for adaptation efforts, whereas linking heat patterns to the built environment characteristics through frameworks such as Local Climate Zones (LCZ) provides actionable insights for developing neighborhood cooling strategies. However, the widely used LCZ maps have a few limitations, such as misrepresenting variation within types because they cannot account for sub-classes beyond the standardized framework. This paper presents an unsupervised clustering approach to identify residential typo-morphologies across 99 Dutch cities, enhancing their relevance for urban heat vulnerability assessments. The analysis reveals that five morphological and canopy parameters (FSI, GSI, OSR, Havg, and FVC) selected from 17 parameters are sufficient to identify nine distinct residential typo-morphologies relatable to LCZs within 100 m × 100 m grid cells. The evaluations demonstrate that our approach detects underrepresented LCZ types and reveals new sub-classes absent from standard LCZ classifications. Key findings include detection of high-density areas (LCZ 42) reflecting recent urban densification with one of the highest UHImax next to LCZ 2 (4.2–4.9 K), and vegetation-differentiated variants within sparse and low-rise categories LCZ 9D and LCZ 6D, distinguished by distinctive UHImax (0.5–0.7 K) higher compared to their reference base types. Notably, tree coverage remains low across low-rise and compact typo-morphologies, revealing substantial opportunities for greening interventions. This data-driven refinement preserves LCZ's global comparability while considering local specificity, providing improved frameworks to inform targeted climate adaptation strategies in residential environments.

The urban heat island effect is increasingly affecting the quality of life in cities, and detailed data is crucial in designing mitigation policies. However, weather stations are predominantly situated outside urban environments, limiting their ability to represent the varying air temperatures within street canyons. This data paper addresses this limitation by presenting a dataset of the modeled daily maximum urban heat island (UHImax) effect across 99 Dutch municipalities during the summer of 2023. This is achieved by implementing a semi-empirical equation that incorporates readily available meteorological variables and two key urban morphological indicators, namely the sky view factor and fractional vegetation cover. Two primary datasets are presented: (1) a high-resolution dataset of modeled UHImax, and (2) a sky view factor dataset. Both datasets are provided in GeoTIFF format at a 5-meter spatial resolution. Additionally, this paper presents a straightforward methodology for obtaining UHImax values for other periods. The datasets and accompanying methodology provide valuable resources for advancing urban climate research, urban planning and heat mitigation strategies in the Netherlands.

Understanding the spatial patterns of social inequalities has been a longstanding concern in urban studies. Geodemographic classifications, which group neighbourhoods based on multiple social and physical dimensions, offer a useful tool for this purpose. However, most classifications rely on fixed single-scale administrative boundaries, while studies that adopt multiscale approaches often focus on a single dimension and cover only limited time periods. This limits our understanding of how urban social inequalities evolve over time and across spatial scales. In this study, we extend the geodemographic approach to incorporate multiple dimensions, time periods, and geographical scales, enabling a more comprehensive analysis of the spatio-temporal configuration of urban change. We develop multidimensional, multiscale, and longitudinal spatial profiles of residential contexts in the Metropolitan Agglomeration of Amsterdam (MAA) using bespoke neighbourhoods constructed from detailed population register data (1999–2022). Our results show that the interaction of socioeconomic status, migration background, life-course stages, and housing tenure provides a richer understanding of urban stratification than traditional models based solely on income or ethnicity. The longitudinal perspective reveals distinct timing differences in urban reconfigurations, such as gentrification and displacement, which emerge locally and consolidate more broadly over time. The multiscale approach highlights how patterns of urban change are scale-dependent, with large-scale dynamics, such as poverty suburbanisation and inner-city gentrification, coexisting with the formation of smaller enclaves in areas undergoing or at risk of change. These findings highlight the need for integrated multidimensional, temporal, and multiscale frameworks to better capture the evolving nature of sociospatial inequalities in cities.

Addressing high-temperature exposure in cities requires understanding multiple environmental dimensions, with urban morphology playing a central role. Urban morphology—which include building density, height, and arrangement—significantly influences microclimatic conditions and opportunities for adaptation. A widely used framework for studying these relationships is the Local Climate Zones (LCZ), which provides a solid theoretical foundation for understanding urban climate variations. However, LCZ categories are often idealized and may not accurately reflect the complexity of real-world environments, particularly when attempting to describe both morphological and thermal properties simultaneously.

Although urban form and thermal behavior are inherently interrelated, similar urban forms can exhibit different thermal responses depending on factors like vegetation cover, impervious surfaces, and building materials. To better represent real-world variability, separating morphological classifications from thermal characteristics allows for an analysis that accounts for these differences.

To address these challenges, we develope an approach that generates empirically derived urban morhophological types while maintaining connections to LCZ categories. Our tool systematically classifies urban morphological types for fine-grained, nationwide assessments, enabling consistent comparisons across diverse Dutch urban residential areas. This approach uses readily available geospatial data and applies unsupervised machine learning techniques to identify urban morphological typologies. By standardizing the classification process into 100 x 100 m grid cells from Statistics Netherlands, our method provides a consistent spatial and temporal framework that transcends changing administrative boundaries.

Our approach helps streamline vulnerability analysis by facilitating the intersection of multiple environmental and social dimensions. We demonstrate the tool's utility through an explorative analysis that identifies which socio-economic groups reside in neighborhoods with high heat exposure, considering both morphological types and additional factors influencing heat exposure. This tool provides urban planners and researchers with an empirically-grounded framework for identifying priority areas in existing settlements for scalable adaptation interventions across different urban contexts.

This study examines how senior residents navigate the overlapping logics of dispossession and re-possession within urban redevelopment, situating this dialectic within the broader framework of spatial commodification and lived spatiotemporal experiences. While urban redevelopment offers compensation and improved housing, it also generates deep emotional, functional, and temporal disruptions – particularly for older adults. Spatially, redevelopment projects prioritise abstract commodified space, often disregarding seniors’ affective and symbolic attachments to their neighbourhoods. Importantly, seniors’ attachments to place are not uniformly positive. Many express frustrations with deteriorating environments and social fragmentation, viewing redevelopment as an opportunity to improve living conditions or family wealth accumulation. The tension between loss and gain – between being dispossessed and being re-possessed – shapes their complex responses to displacement. These dynamics are further complicated by the temporal mismatch between institutional redevelopment timelines and seniors’ embodied rhythms, such as ageing-related limitations, care responsibilities, and uncertainty about future arrangements. Meanwhile, shifting intergenerational dynamics within the family domain reveal that even with financial compensation and increased family wealth, conflicts often emerge around caregiving and benefits distribution. By centring these tensions, this study moves beyond binary accounts of victimhood or compliance and highlights the ambivalence and contingency in seniors’ engagement with redevelopment. It calls for more nuanced policy responses that align material compensation with emotional and temporal needs, particularly in contexts where family-based ageing care remains central.

Previous research based on 2001 and 2011 census data indicated rising levels of residential segregation between socio-economic groups in many large city-regions in Europe as well as globally. Rising segregation is an important societal concern, as place of residence plays a crucial role in shaping access to urban opportunities. Residential isolation can be especially harmful for the most vulnerable groups. Income inequality was identified as the primary driver of this segregation. The current paper extends comparative research on residential segregation in Europe by incorporating the latest 2021 census and register-based data to determine whether segregation levels have continued to rise or have peaked, or whether there are signs of desegregation. It also examines how changes in segregation align with shifts in income inequality and occupational structures. A comparative analysis of 16 European capital city-regions shows a slowdown in the rise of segregation, with some city-regions transitioning from segregation to desegregation. These changes coincide with both a slowdown in the growth of income inequality and increased professionalisation of the workforce. The study suggests that future research should focus on the mechanisms driving residential desegregation in different urban contexts, with particular attention to the diversification of residential patterns among the expanding professional class.

Research on segregation and economic inequality is often limited to major capitals and conurbations, neglecting smaller cities. This oversight can lead to public policies based on insights that may not be universally applicable. Leveraging geo-coded register data, this study addresses this problem in the case of the Netherlands by computing income inequality and residential segregation annually in all urban areas from 2011 to 2022. Contrary to most literature, this paper shows that inequality and segregation have remained stable or decreased in most cases. In addition, when looking at how income is distributed among social segments, how segregated they are, and at which geographical scale segregation occurs, we find significant variation between urban areas. More unequal urban areas also tend to be more segregated, but patterns vary, and the same segregation levels can coexist with diverse inequality metrics. Four groups of urban areas are identified through a cluster analysis.

Researchers often use register data-based measures of neighborhood characteristics to estimate neighborhood effects. However, the underlying causal mechanisms might be based on the perception of such characteristics. The mismatch between the measures and perceptions is likely influenced by individuals’ characteristics and attitudes. This paper investigates the relationship between the measured percentages of low-income and foreign background neighbors and their perceptions. Using Dutch register data merged with survey data, we found that higher education is associated with the underestimation of both characteristics, but after controlling for individual institutional trust it becomes less significant to the perceived percentage of foreign background neighbors, and insignificant to that of low-income neighbors. Individuals with lower institutional trust are likely to overestimate both percentages. Older age, greater wealth and greater social embeddedness are associated with underestimation of both characteristics, and higher household income with the underestimation of the share of low-income neighbors. We find that trust in democratic and public institutions is associated with biased perceptions of social reality, which can be an important finding for the spatial inequality studies. Our results also suggest that urban research would benefit from augmenting administrative datasets with surveys and interviews.

Neighborhood effects research focuses on the residential neighborhood, assuming it as the main spatial context relevant to individual outcomes. Individuals, however, are mobile and visit various spatial contexts other than the residential neighborhoods. This article conceptualizes contextual exposures to socioenvironmental factors in daily activity spaces and their relationship with residential exposures. By introducing regression toward the mean, we argue that mobility-based contextual exposures are, on average, less extreme than residential exposures. Previous neighborhood effects studies therefore tend to underestimate actual spatial contextual effects when they misrepresent residential neighborhood effects as the total contextual effects. Despite improved measurement accuracy with the transition from residence- to mobility-based exposures, we suggest the complexities remaining in the estimation of spatial contextual effects from a geographic perspective. These complexities include a possibly limited extent of neighborhood effects regression across neighborhoods and asymmetrical dispersion of between-individual contextual exposures within each neighborhood.

Capital cities struggle with population growth that challenges existing infrastructure and affects the quality of urban life. The failure of local governments to manage urban deterioration motivates active resident groups to improve their neighborhoods, but they struggle to play a role in neighborhood governance in contexts where citizens’ engagement in public affairs is restricted. In this article we aim to understand active residents’ roles in the neighborhood governance process and how these roles unfold in a context that challenges citizen engagement in public life. We adopted a case study methodology and interviewed active residents and local officials from selected districts in Cairo, which revealed that active residents’ influence is limited mostly to neighborhood management and implementation activities. In this limited space, the role of active residents is confined to either that of the ‘fixer’ who restores existing services, or that of the struggling and intermittent ‘self-provider’, neither of whom can influence policy formulation. This study provides a structured and zoomed-out view of local activism in Cairo, offering a starting point for scholars and decision makers seeking to enhance active residents’ roles in Cairo.

Traditionally, studies of spatial inequalities only consider one single dimension, such as income, and one spatial scale - usually a neighbourhood determined by administrative boundaries. Although the existing literature increasingly recognises the multifaceted nature of inequalities in cities, this paper introduces a novel approach by integrating the multidimensional and multiscale perspectives to understand the evolution of social and spatial inequalities over time. Drawing on clustering techniques based on factor analysis and using individual-level geocoded register data from the metropolitan agglomeration of Amsterdam, our methodology classifies neighbourhoods by grouping detailed residential locations with similar socioeconomic, demographic and housing characteristics across multiple geographical scales. Through sequence analysis, we identify trajectories of neighbourhood change from 1999 to 2022, revealing patterns in the timing, duration, and sequencing of shifts across various dimensions. Our results bridge gaps in the multidimensional and multiscale neighbourhood classification literatures, providing a better understanding of how social inequalities interact and overlap in space. By examining the path dependence between different dimensions of spatial and social inequalities, this study provides insights into the processes that produce and reproduce social stratification in cities that may act at different geographical scales for different groups of people. Moreover, the rich and granular data paint a detailed picture of how residential contexts are segregated and how the trajectories of neighbourhood change are distributed spatially. This research offers an innovative framework for visualise and study the dynamic evolution of urban structures over time.

This study examines how socio-spatial inequalities are associated with population concentration and de-concentration processes shaped by residential mobility. The study explores whether the patterns of residential mobility vary in different settlement system contexts. It reviews the cyclical urbanization models and the inequality of opportunities they provide in urban, suburban, and counter-urban contexts for individuals in various life stages. The theoretical models are tested by analysing individual-level data covering the entire populations of Estonia and Lithuania – two countries with similar social but different settlement system contexts. The study utilizes linked individual-level data from the 2011 and 2021 censuses, and harmonized variables in the two countries. The results show that individuals engaging in concentration, suburbanization, or de-concentration have distinct characteristics, with little differences between countries characterized with different settlement systems. While the life-course approach assumes that young people are most likely to urbanize (concentrate), those in family ages shift towards suburbanization, and older individuals tend to counter-urbanize (de-concentrate), our findings challenge these assumptions, demonstrating that young adults have a high likelihood of migration in all three directions. These findings call for more in-depth studies on the interplay between age and migration patterns that would go beyond the life-course approach and delve deeper into the residential decision-making of young people.

Over many decades, academics, policymakers, and governments have been concerned with both the presence of inequalities and the impacts these can have on people when concentrated spatially in urban areas. This concern is especially related to the influence of spatial inequalities on individual outcomes in terms of health, education, work and income, and general well-being amongst other outcomes. In this commentary, we provide an overview of the literature on spatial inequalities and on contextual and neighbourhood effects. We address some of the main challenges in modelling contextual effects and provide evidence that no single study can definitively provide the answer to the question whether—and how much—spatial context effects are relevant for understanding individual outcomes. It is only when taken together that the rich body of research on spatial context effects shows convincingly that spatial context effects are relevant. The commentary ends with the presentation of the vicious circle of the segregation model and suggest some ways in which this vicious circle of spatial inequality and segregation can be broken.

Social frontiers arise when there are sharp differences in the demographic composition of adjacent communities. This paper provides the first quantitative study of their impact on household mobility. We hypothesise that conflicting forces of white flight and territorial allegiance lead to asymmetrical effects, impacting residents on one side of the frontier more than the other due to differences in the range of housing options available to different groups, and different symbolic interpretations of the frontier. Using Dutch registry data for the city of Rotterdam we identify ethnic social frontier locations using a Bayesian spatial model (Dean et al., 2019), exploiting the data’s one hundred metre resolution to estimate frontiers at a very small spatial scale. Regression analysis of moving decisions finds that the ethnic asymmetry of the frontier matters more than ethnicity of individual households. On the ethnic minority side of the frontier, households of all ethnicities in the 28–37 age range have reduced probability of moving compared to non-frontier parts of the city. The opposite is true on the Dutch native side of the frontier. We supplement this analysis with flow models which again find strong frontier effects. Our findings illustrate how the study of social frontiers can shed light on local population dynamics and neighbourhood change.

It has been nearly fifteen years since a large European Union–funded project called RESTATE explored challenges in housing estates throughout several European countries and served as a clearinghouse for the exchange of ideas for counteracting negative trends in large housing estates (van Kempen et al. 2005). Since that time, a series of riots in the Paris banlieues and in the “Million Homes Programme” suburbs in Stockholm have revealed that many problems remain. Major European newspapers, including The Guardian, frequently publish articles about deep social problems in housing estates, the poor image from which they suffer, and dissident groups that reside in them. Families with resources often move away from large housing estates, and housing estates contribute to increasing segregation levels in European cities (Tammaru et al. 2016a). Immigration currently introduces new groups to European cities, and their initial places of settlement are low-cost neighborhoods, often in large housing estates (Wessel 2016). Moreover, new challenges arise, such as the ongoing aging of buildings along with their environments, which necessitates new investments and raises challenges related to sustainability, energy reduction, and aging populations. With many cities operating on austerity budgets and lacking cash to invest in improving housing and neighborhoods, now is a good time to revisit the challenges faced by large housing estates in European cities.

This essay presents the key findings of the book Housing Estates in Europe: Poverty, Ethnic Segregation and Policy Challenges, and is structured around ten takeaway messages. These messages convey, on the one hand, that few substantial changes have occurred in large housing estates in Europe since the RESTATE project, but they also carefully clarify some of the strategies for improvement that might help to secure a solid future for the dwellings and inhabitants of Europe’s large housing estates.

Findings from past studies including High-Rise Housing in Europe (Turkington et al. 2004) and the RESTATE project (Van Kempen et al. 2005) provide in-depth evidence of the varieties of change in large housing estates in Europe through the mid-2000s. A recent book entitled Socio-Economic Segregation in European Capital Cities (Tammaru et al. 2016b) documents growing levels of segregation across Europe, suggesting an increasing overlap of ethnic and social segregation often to be found in large housing estates. Our current book focuses on the formation and later socio-spatial trajectories of large housing estates in Europe. The long-term growth in social inequalities in Europe, a growing number of immigrants in European cities seeking affordable housing, and the physical aging of apartment buildings form key policy challenges related to large housing estates in Europe.

This essay provides comparative city- and metropolitan-level evidence of the origins, trajectories of change, and future prospects of large housing estates. It specifically investigates the actions needed to realistically improve the fortunes of housing estates experiencing downward trends and pathways to enhance life for the residents living in them. This chapter is organized around ten synthesized takeaway messages distilled from the sixteen chapters of the book Housing Estates in Europe: Poverty, Ethnic Segregation and Policy Challenges.

As a growing number of Dutch higher education institutions become increasingly interested and active in university–community engagement, questions have arisen about their motivations, goals, and activities in this area. This paper aims to provide insight into the factors driving universities’ community engagement and how this is manifested in the Netherlands, considering, in particular, the role of marketization and corporate social responsibility. It thus offers an empirical foundation for understanding university–community engagement. Semi-structured interviews were conducted with major stakeholders in university–community engagement at four Dutch universities, including members of the executive boards. It was found that university–community engagement shows several similarities to corporate social responsibility and is based on a complex mix of value-driven, performance-driven, and reaction-driven motivations. Three relationships between marketization and university–community engagement are identified, characterizing university–community engagement as a counteraction against marketization, an expression of marketization, and a result of marketization.

Compared to traditional communities, the residential environment in historic districts (HDs) is generally poor. Tourism development within HDs has affected these environments. As tailored assessment indicators are absent in HDs, this study introduces the historic district residential environment assessment indicator (HD-REAI) – a framework designed for the urban setting of HDs. The HD-REAI integrates Maslow’s theory and addresses the challenges and attributes of HDs. HD-REAI focuses on factors like housing property rights and district culture, which are pivotal for HDs. This enables a more nuanced and relevant evaluation of the residential environment in these areas. This study details the development of the HD-REAI and validates its efficacy through its application in two Northern Chinese HDs. The results demonstrate that the HD-REAI effectively assesses the environment, offering a specialized and context-sensitive tool. Moreover, different socioeconomic attributes have different effects on the assessment results. This study could provide a basis for constructing more refined and context-specific assessment tools to enhance residential environments in HDs.

Emerging longitudinal research on the relationship between commuting mode and psychological wellbeing draws exclusively from cities in developed countries and the findings are not consistent. Our study contributes to the evidence base from urban China, where rapid urban growth has raised great concerns for urbanites’ commuting problems and psychological stress risks. Drawing upon the China Health and Nutrition Survey (2006–2015), we followed a quasi-longitudinal design to examine changes in commuting mode and the associations with long-term psychological stress. Crucially, the neighbourhood-level urbanicity scale was incorporated to analyse geographic variations in the commuting-stress relationship over time. The results show that maintaining car commuting and long-duration active commuting were associated with lower levels of psychological stress, while long-duration motorised commuting trips by car or public transport were predictive of higher stress levels. Moreover, high-urbanicity areas involved more active commuting trips and short motorised commuting trips, which were beneficial to long-term psychological wellbeing. In contrast, the commuting-related stress risks were noticeable in medium urbanicity areas, where the commuting duration by public transport was extremely high. Based on the socio-institutional context of urban growth in China, we recommend that urban governments should change the focus from expanding urban development land to improving urban amenities and urbanites’ wellbeing.

In 1969 Thomas C. Schelling published his paper “Models of Segregation” and in 1971 he published a follow-up paper introducing “Dynamic Models of Segregation”. Schelling's papers developed the theoretical models of interactive dynamics of individual residential choices, resulting in pronounced patterns of residential segregation at the city level. Even after 50+ years, the topic of residential segregation and sorting remains as relevant as when Schelling published his papers. The two Schelling papers have been cited more than 8000 times together, and have made a strong impact on the residential segregation literature and beyond. In this paper, we examine how Schelling's ideas have impacted empirical research on residential segregation, and thus contributed to a greater understanding of urban processes. We find that few empirical papers explicitly test the Schelling models in residential segregation studies, and there are a growing number of influential papers in the field of segregation that do not reference Schelling. However, the papers by Schelling have served as a source of inspiration for a diverse set of empirical studies, new ways of defining neighbourhoods and developing more comprehensive theories of segregation.

There is a longstanding interest in the causes and consequences of socio-spatial inequalities in cities. A large literature has emerged on so-called neighbourhood effects, which seeks to understand how living in neighbourhoods of concentrated poverty affects a range of individual outcomes, such as health, income, education and general wellbeing (Galster, 2012). The literature on neighbourhood effects has developed rapidly in the last three decades. It is now common practice that studies of neighbourhood effects use geocoded longitudinal individual-level data and employ a variety of (often econometric) approaches in an attempt to reduce bias from non-random sorting into neighbourhoods (Knies et al. 2021). Studies of neighbourhood effects have also increasingly looked to incorporate more personal geographic contexts replacing ‘off the shelf’ administrative units with bespoke neighbourhoods (Johnston et al., 2005; Andersson & Malmberg, 2014; Petrović et al. 2022). The most common example of bespoke neighbourhoods are egohoods – neighbourhoods placing everyone at the centre of their own personal residential space (Hipp & Boessen, 2013). More recently, multiscale approaches have been used, whereby neighbourhood characteristics are measured at multiple scales of bespoke neighbourhoods (Petrović et al., 2022). It has been argued that for both theoretical and empirical reasons, the term ‘neighbourhood effects’ should be replaced by the more encompassing term ‘spatial context effects’, as many of the assumed spatial effects are not confined to residential neighbourhoods and the contestable meaning of neighbourhood distracts (Petrović et al. 2019).