The changing position of housing estate neighbourhoods in the Helsinki metropolitan area

Lilius, Johanna; Hirvonen, Jukka

doi:10.1007/s10901-021-09890-5

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…The private rental sector has grown substantially in all larger cities, especially in the last 15 years, and the number of renters has also risen. The change in policies has also resulted in social housing being converted into private rentals or owner occupation (Lilius & Hirvonen, 2021; see also below).…”

Section: Two Social Housing Cities In Two Distinct Housing Systemsmentioning

confidence: 99%

The remarkable stability of social housing in Vienna and Helsinki: a multi-dimensional analysis

Kadi

Lilius

2022

Housing Studies

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The supply of social housing has been marked by erosion and decline in most Western Europe countries since the 1990s, albeit with considerable variation in timing, speed and degree. Recently, it has been suggested that the sector has kept a more prominent position at the local level, at least in some cities. This paper scrutinizes this claim by comparing the development of social housing in two cities in two distinct national housing systems that have traditionally had a strong commitment to social housing: Vienna and Helsinki. To do so, we build a multi-dimensional framework that encompasses sector size, stock privatization, new housing production, and residualization. We empirically demonstrate a remarkable stability along these dimensions in both cases, albeit with some differences in degree. A number of factors need to be considered to explain this stability. They relate to aspects of institutional design of the social housing systems, as well as to continuity in policies at national and local levels.

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Section: Two Social Housing Cities In Two Distinct Housing Systemsmentioning

confidence: 99%

The remarkable stability of social housing in Vienna and Helsinki: a multi-dimensional analysis

Kadi

Lilius

2022

Housing Studies

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Managing the threat of decoupling in the U.S. affordable housing industry

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Sedgwick

2024

J Hous and the Built Environ

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Decoupling, or the practice of communicating different organizational values and goals than those rigorously pursued, is a concept discussed in the organization theory literature. Organizations engage in it when their legitimacy hinges on obtaining the support of stakeholders with disparate interests, and they attempt to appease some stakeholders with words and others with actions. One problem with decoupling is that it can lead organizations to operate in ways that are not reflective of their stated missions. With this concern in mind, the analysis presented here explores the prevalence of decoupling in the U.S. affordable housing industry and considers how, when, and why it occurs, and to what effect. Thematic analysis of interview data collected from industry practitioners suggests decoupling is common, comes in multiple forms, and must be effectively managed if municipal governments hope to partner with for-profit and nonprofit affordable housing providers to achieve their social policy goals.

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Scalable multimodal assessment of the micro-neighborhood using orthogonal visual inputs

Despotovic,

Brunauer

2024

J Hous and the Built Environ

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The features of the micro-location and in particular the micro-neighborhood that residents perceive on a daily basis have a considerable influence on the quality of living and also on housing prices. For automated valuation models (AVMs), the use of micro-neighborhood information would be beneficial, as incorporating additional spatial effects into the price estimate could potentially reduce the empirical error. However, measuring related features is difficult, as they must first be defined and then collected, which is extremely challenging at such a small spatial level. In this study, we investigate the extent to which the quality of micro-neighborhoods can be assessed holistically using multiple data modalities. We design a scalable approach using alternative data (images and text), with the potential to expand coverage to other urban regions. To achieve this, we propose a multimodal deep learning architecture that integrates both textual and visual inputs and fuses this information. In addition, we introduce a training strategy that enables a targeted fusion of orthogonal visual representations of the residential area within the model architecture. In our experiments, we test and compare different unimodal models with our multimodal architectures. The results demonstrate that the multimodal model with targeted fusion of the orthogonal visual inputs achieves the best performance and also improves the prediction accuracy for underrepresented location quality classes.

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The changing position of housing estate neighbourhoods in the Helsinki metropolitan area

Cited by 7 publications

References 28 publications

The remarkable stability of social housing in Vienna and Helsinki: a multi-dimensional analysis

The remarkable stability of social housing in Vienna and Helsinki: a multi-dimensional analysis

Managing the threat of decoupling in the U.S. affordable housing industry

Scalable multimodal assessment of the micro-neighborhood using orthogonal visual inputs

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