Warenlagergebäude in Deutschland: Eine neue Methodik zur regionalen Quantifizierung der Flächeninanspruchnahme
Bibliographic record
Abstract
In 2018, the building segment of warehouse buildings accounted for around a quarter of all newly constructed floor space in German non-residential buildings. Despite this great significance, there is a lack of in-depth analyses that look at construction activity in a differentiated manner by region and sector. As a result, little is known so far about the land-use implications of construction in this building segment. This paper a methodology to quantify the land use of warehouse buildings on a regional scale is presented. Based on a data set from the German Research Data Centre for the years 2000 to 2015 and by applying GIS-supported conversion parameters, propositions on the small-scale characteristics of land use are possible down to the municipal level. It is apparent that the segment of warehouse buildings is characterized by concentration effects in three respects: the buildings are getting larger and larger, they are increasingly being constructed by specialized logistics service providers and are spatially concentrated in only a few well-connected locations. As a result, contrary to the general trend, the land use of this segment is steadily increasing. A differentiated consideration of land use along spatial and functional contexts seems to be advisable for the success of national land-use targets.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".