As the global population continues to grow, urbanization is one of the most significant anthropogenic processes linked to ecological change. But even in countries where the overall population is stagnating, migratory movements toward urban centres will continue to place pressure on the finite resource of land. Therefore, it is particularly important to determine and describe the development of settlement areas as precisely as possible in order to inform spatial planning decisions. For this reason, this dissertation presents vector-based methods to analyse, quantify and evaluate small-scale changes in settlement area. In this work, which constitutes a cumulative dissertation, novel methods are described that can be used to determine not only areal change in settlement and traffic areas (SuV), but also the type of building change and urban densification. This is of particular interest for the spatial planning of expanding metropolitan areas, where the question arises: Where, how and to which extent can built-up areas be further densified in order to reduce the consumption of land for new settlement areas? The methods presented here can facilitate spatially detailed analyses and already form the basis for a nationwide monitoring of settlement and open space development.
This work shows how geometric deviations and changes in the underlying data model can be taken into account when determining SuV growth from data of the Authoritative Topographic-Cartographic Information System (ATKIS). In this context, positional inaccuracies of linearly and arealy modelled geometries are each treated in a special way so that minor positional offsets no longer affect the SuV increase. In addition, changes in the data model are accommodated by disregarding specific object reallocations when determining the SuV increase. To test these methods, the SuV increase was determined and analysed for Germany using national ATKIS data sets that feature geometric positional inaccuracies and data model changes. It could be shown that a considerable share of the calculated SuV increase is not due to real-world changes but to modelling issues.
Furthermore, a novel method for the detection of building changes is presented, which focuses on the differentiation between modified and replaced buildings. It could be shown that this new approach is more accurate than other investigated methods. Furthermore, an algorithm was developed in this work to generate defined location deviations. This could be used to show how position deviations affect the accuracy of the examined procedures. The threshold values determined in this work can form the basis for similar investigations.
In addition, an indicator was developed to track changes in building density. This indicator not only reflects the extent of building change but also the size of the existing building stock. Moreover, the indicator was designed in such a way as to allow comparison of the densification of developed and undeveloped areas, and thus also inner and outer urban areas. Furthermore, the indicator can be used to symmetrically calculate a decrease in the building stock, enabling a comparison of densification and de-densification processes.:1. Introduction
1.1 Motivation
1.2 Problem description
1.3 Aims
1.4 Structure
2. Dissertation main articles
2.1 Measuring land take in Germany
2.2 Detecting building change
2.3 Indicator for building densification
3. Methods for measuring settlement changes
3.1 Measuring changes through land use data
3.2 Detection of building changes
3.3 Measuring changes in building density
4. Main findings
4.1 Effects of non-real changes on land take
4.2 Distinguishing building modification and replacement
4.3 Impact of building changes on building density
4.4 How the articles are connected
4.5 Additional relevant publications
5. Conclusion and Outlook
References
Abbreviations
List of figures
List of author’s publications
Articles
Conference Papers
Acknowledgments
Appendix with publications
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:87662 |
| Date | 25 October 2023 |
| Creators | Schorcht, Martin |
| Contributors | Burghardt, Dirk, Sester, Monika, Hecht, Robert, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 10.3390/ijgi5080134, 10.3390/ijgi11020091, 10.1016/j.ecolind.2023.110142 |
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