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Cadastral information and land administration systems are central to effective land markets, land use and sustainable development. This paper focuses on one aspect of land administration dynamism: the changing uses of cadastral information. We follow a qualitative approach and offer an overview of why, how, and in what form user groups use cadastre and land register data in Finland. We then explore different user groups' perceptions of emerging changes and discuss their implications for the future land administration system. We identify six major changes that potentially have such implications: the streamlining of environmental permit procedures, the integration of public services, three-dimensional land use planning, tightening banking regulations, digital services, and e-government, and coordination among public data agencies. The paper addresses the relatively unexplored customer side of cadastral information and reiterates the need for an interoperable, accurate and reliable land administration system.

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This article evaluates the Global South housing policy for low-income earners by utilising the Nigerian example to analyse public housing policy strategies used to provide housing to low-income earners. The materials employed in the study were housing policy programme documents provided by various ministries that are linked to housing between 1991 and 2020. The housing policy documents were subjected to qualitative content and thematic analysis. The analysis of the selected housing policy documents showed seven key policy strategies that are intended to strengthen affordable housing development. These strategic themes are funds, schemes, governments, implementation, development, land, and rurality. The findings indicated that the existence of housing policy strategical themes does not translate to affordable housing development and housing affordability for low-income earners, though the effective activation and implementation of strategical themes will promote affordable housing development.

Companies and governmental agencies are increasingly seeking ways to explore emerging trends and issues that have the potential to shape up their future operational environments. This paper exploits text mining techniques for investigating future signals of the land administration sector. After a careful review of previous literature on the detection of future signals through text mining, we propose the use of topic models to enhance the interpretation of future signals. Findings of the study highlight the large spectrum of issues related to land interests and their recording, as nineteen future signal topics ranging from climate change mitigation and the use of satellite imagery for data collection to flexible standardization and participatory land consolidations are identified. Our analysis also shows that distinguishing weak signals from latent, well-known, and strong signals is challenging when using a predominantly automated process. Overall, this study summarizes the current discourses of the land administration domain and gives an indication of which topics are gaining momentum at present.

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