000 | 02795nab a2200361 4500 | ||
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_c11652 _d11652 |
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003 | OSt | ||
005 | 20210415125222.0 | ||
007 | cr aa aaaaa | ||
008 | 210415b ||||| |||| 00| 0 eng d | ||
100 |
_aPont, Meta Berghauser _945935 |
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245 | _aspatial distribution and frequency of street, plot and building types across five European cities | ||
260 |
_bSage, _c2019. |
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300 | _aVol 46, Issue 7, 2019,(1226-1242 p.) | ||
520 | _aTypologies have always played an important role in urban planning and design practice and formal studies have been central to the field of urban morphology. These studies have predominantly been of a historical-qualitative nature and do not support quantitative comparisons between urban areas and between different cities, nor offer the precise and comprehensive descriptions needed by those engaged in urban planning and design practice. To describe contemporary urban forms, which are more diffuse and often elude previous historic typologies, systematic quantitative methods can be useful but, until recently, these have played a limited role in typo-morphological studies. This paper contributes to recent developments in this field by integrating multi-variable geometric descriptions with inter-scalar relational descriptions of urban form. It presents typologies for three key elements of urban form (streets, plots and buildings) in five European cities, produced using statistical clustering methods. In a first instance, the resulting typologies contribute to a better understanding of the characteristics of streets, plots and buildings. In particular, the results offer insight into patterns between the types (i.e. which types are found in combination and which not) and provide a new large scale comparative analysis across five European cities. To conclude, a link between quantitative analysis and theory is established, by testing two well-known theoretical propositions in urban morphology: the concept of the burgage cycle and the theory of natural movement. | ||
650 |
_aTypo-morphology, _945936 |
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650 |
_acluster analysis _942878 |
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650 |
_abuilt density, _939154 |
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650 |
_anetwork centrality, _945937 |
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650 |
_aland division _945938 |
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700 |
_aStavroulaki, Gianna _945939 |
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700 |
_aBobkova, Evgeniya _945940 |
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700 |
_a Gil, Jorge _931340 |
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700 |
_aLars Marcus, _945941 |
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700 |
_aOlsson, Jesper _945942 |
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700 |
_aSun, Kailun _942324 |
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700 |
_aSerra, Miguel _945943 |
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700 |
_aHausleitner, Birgit _945944 |
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700 |
_aDhanani, Ashley _945945 |
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700 |
_aLegeby, Ann _945946 |
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773 | 0 |
_011590 _915512 _dSage 2019. _t Environment and Planning B: Urban Analytics and City Science |
|
856 | _uhttps://doi.org/10.1177/2399808319857450 | ||
942 |
_2ddc _cART |