The Urbis Project: Identification and Characterization of Potential Urban Development Areas as a Web-Based Service

Manzke, Nina; Kada, Martin; Kastler, Thomas; Xu, Shengli; Lange, Norbert de; Ehlers, Manfred

doi:10.5194/isprsarchives-xli-b4-227-2016

Cited by 2 publications

(2 citation statements)

References 5 publications

(5 reference statements)

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“…Thus, the existing techniques only generate information on potential brownfield sites, and manual field verifications are essential in a post-processing step to eliminate false positives. Additionally, a project that aimed to develop 'Urban Land Recycling Information Services for Sustainable Cities' (Moser et al 2015;Manzke et al 2016) came to the conclusion that the detection of brownfield sites using available satellite images and the Urban Atlas alone was nearly impossible (Manzke et al 2016).…”

Section: Previous Approaches Towards the Automated Detection Of Idpmentioning

confidence: 99%

Urban infill development potential in Germany: comparing survey and GIS data

Schiller

Blum

Hecht

et al. 2021

Buildings and Cities

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Limiting land take is an important sustainability target. To this end, infill development is a primary strategy. To implement this strategy, policy-makers need a reliable knowledge base on infill development potential (IDP), such as brownfields, vacant lots and underused lots. This study presents the results of the first comprehensive national survey of IDP in Germany. Almost 12% of German municipalities were contacted by questionnaire. In contrast to previous studies, this study also takes into account smaller towns and small-scale vacant lots, which would otherwise lead to a considerable underestimation. Additionally, a feasibility study shows how IDPs can be identified using a geospatial approach. Here, a procedure is presented that allows the identification of IDPs and the differentiation between vacant and underused lots by analysing urban morphology using nationwide and commonly available geospatial base data. The results provide a good basis for an initial inventory. However, to obtain more accurate results, additional specific data would be required, the accessibility of which is currently limited. With the development of an improved spatial data infrastructure combined with Open Data initiatives, geographical information system (GIS)-based procedures for the automated detection and monitoring of IDPs could become more important in future. POLICY RELEVANCE If the objectives of land policy, especially the avoidance of urban sprawl, are to be achieved, then the more efficient use of already developed land is essential. At the strategic level of policy development, knowledge of land suitable for infill development is as necessary as knowledge of the land take. Currently, regular standardised questionnaire GEORG SCHILLER ANDREAS BLUM ROBERT HECHT HOLGER OERTEL UWE FERBER GOTTHARD MEINEL

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Section: Previous Approaches Towards the Automated Detection Of Idpmentioning

confidence: 99%

Urban infill development potential in Germany: comparing survey and GIS data

Schiller

Blum

Hecht

et al. 2021

Buildings and Cities

View full text Add to dashboard Cite

show abstract

“…To overcome the limitations of these approaches, methods for the automatic detection of IDPs are needed to help monitor at the national level as well as deliver basic knowledge on the local level at little expense (Schiller et al 2021;Xu & Ehlers 2022). Although some attempts for automatic detection of brownfields based on remote sensing were made (Atturo et al 2006;Ferrara 2008;Manzke et al 2016;Xu & Ehlers 2022) and the use of artificial intelligence is promising (Dürrbeck & Lippl-Seifert 2022), until now no approaches have included small-scale IDP. Hecht & Meinel (2014) proposed a GIS-based approach using topographical and building data, but concluded that the results greatly overestimate the infill potential due to missing lot boundaries and only coarse differentiation of land use.…”

Section: Introductionmentioning

confidence: 99%

Mapping soft densification: a geospatial approach for identifying residential infill potentials

Ehrhardt

Behnisch²,

Jehling

et al. 2023

B&C

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Infill development policies have been widely adopted as strategies to reduce urban sprawl and to promote sustainable urban transformation. However, little empirical data are available to analyse infill processes and to facilitate building activity on infill potentials. This is especially true for small-scale residential infill, which often takes place on vacant or underused lots as soft densification. To address this issue, a geospatial method is presented that enables automatic detection of vacant lots for large areas. Cadastral data are used to analyse spatio-temporal development for the period 2011–21 in a German study area, containing large cites as well as rural municipalities. The results show that every fourth vacant lot was mobilised since 2011. However, additional vacant lots emerged in rural areas as new residential development areas are not fully built-up, resulting in a net increase of vacant lots. Although the quantity of vacant lot areas in 2021 suggests a high potential for residential infill, the main development on these infill sites is expected to promote additional single-family housing rather than more dense structures. Practice relevance Automatic identification and monitoring of infill potentials and development are important both for policymaking and for local planning practitioners. For small municipalities with little financial capacities, the approach can provide an overview of their vacant lots and can serve as a basis for strategic planning decisions. For the regional or national level, a yearly monitoring schedule can be established at little cost. Although the approach proves to be robust regarding its precision and is promising for a nationwide application, the data availability for the whole of Germany is awaited and the method needs to be optimised to implement the workflow in practice.

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The Urbis Project: Identification and Characterization of Potential Urban Development Areas as a Web-Based Service

Cited by 2 publications

References 5 publications

Urban infill development potential in Germany: comparing survey and GIS data

Urban infill development potential in Germany: comparing survey and GIS data

Mapping soft densification: a geospatial approach for identifying residential infill potentials

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