This document discusses various frameworks for classifying and mapping urban-rural regions, including the European Union/OECD urban-rural typology, Urban Morphological Zones (UMZ), and the Peri-urban Land Use RELationships (PLUREL) framework. It also provides examples of Transitional Intermediate Belt (TiB) case studies across different European regions and compares characteristics like population, area classified as TiB, and population density within and outside of TiB areas. Lastly, it outlines next steps for comparing properties of networks, centralities, and landscape fragmentation within TiB regions.
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Wandl_Alexander_Putting territories-in-between on the map
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7. Zwischenstadt (1997) - ‘Where we live now’ (Sieverts, T. 2008)
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8. Città diffusa - Veneto - Italy - (Secchi, B. & Viganò, P. 1990)
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9. Tyrol City - Austria - (Andexlinger et Al. 2005)
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16. learning from The EU/OECD - Urban rural Typology
Major Limitations
Focus on living population - missing out the
working population.
No consideration of functional relations (i. e.
commuting) and infrastructure that facilitates
these relations.
Administrative boundaries as aggregation units.
Major Advantages
Easy to replicate.
All necessary data is publicly available.
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17. bringing TiB on the Map - learning from other classifications
Urban Morphological Zones (UMZ) based
on CORINE land cover classification
Primarily used to assess land cover change and
the extend of urban growth (sprawl).
Resolution 100 m pixel - UMZs are defined as
built-up areas lying less than 200 m apart.
Following core land cover classes:
• ‘Continuous urban fabric’
• ‘Discontinuous urban fabric’
• ‘Industrial or commercial units’
• ‘Green urban areas’
and port areas - airports and- sport and leisure,
if they are neighbours of the core classes.
and road and rail networks and water courses, if
they are located within 300 m.
and forest and scrub areas, if they are completely
encircled by one or more of the four core classes.
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18.
19. bringing TiB on the Map - learning from other classifications
Peri-urban Land Use RELationships –
Strategies and Sustainability Assessment Tools for Urban – Rural Linkages
(PLUREL)
European integrated research project within the
European Commissions sixth framework programme. (2007 -2011)
Urban area
(continuous & over
20,000 population)
Peri-urban area
(discontinuous & over
40 persons / hectare)
(a) Mono-centric
settlement
pattern
City centre
Inner urban
Suburban
(text book version)
Urban fringe
Urban periphery
Built up area
Rural hinterland
Functional Urban Area
Rural-urban-region
Multiple
combinations
of urban & periurban areas
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(b) Poly-centric
settlement
pattern
(semi-realistic
version)
Peri-urban areas as ‘discontinuous built development, containing settlements of less than 20,000,
with an average density of at least 40 persons
per km2 (averaged over 1 km2 cells)’ (Piorr et al.,
2011: 10) .
Together with the urban area (continuous and
cities with over 20,000 population) and the rural
hinterland (less than 40 inhabitants per square
kilometer) they form the rural-urban region (Piorr
et al., 2011:25).
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28. bringing TiB on the Map - across Europe
Population
Total area
Area
in TiB
Total area
Area in TiB
In square m
Total area
persons/km2
persons/km2
absolute
absolute
%
Île-de-France
3.893.228
1.006.492
25,85
2.025.000.000
1.096.806.816
54,16
1.922,6
917,7
South-Holland
2.849.336
1.267.325
44,48
2.025.000.000
1.089.876.052
53,82
1.407,1
1.162,8
The Tyrol
281.199
203.066
72,21
2.025.000.000
379.238.037
18,73
138,9
535,5
North Somerset
736.265
562.595
76,41
2.025.000.000
790.280.594
39,03
363,6
711,9
Vienna-Bratislava
338.470
266.489
78,73
2.025.000.000
735.792.433
36,34
167,1
362,2
Gelderland
1.031.570
832.782
80,73
2.025.000.000
1.083.619.161
53,51
509,4
768,5
Bergamo-Brescia
1.094.195
913.480
83,48
2.025.000.000
1.051.089.125
51,91
540,3
869,1
Veneto
1.052.495
888.305
84,40
2.025.000.000
1.299.205.096
64,16
519,8
683,7
South Wales
987.624
888.662
89,98
2.025.000.000
966.270.906
47,72
487,7
919,7
Pas-de-Calais
970.905
913.379
94,08
2.025.000.000
1.205.529.643
59,53
479,5
757,7
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%
in TiB
Case study name
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In square m
Population Density
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29. Next Steps - Comparison of
Permeability of the landscape Location pattern of centralities Policy responses
and street network properties
Network Centrality
Landscape fragmentation
Primal graph
Betweenness 500 m weighted GFA
Landscape fragmentation
Accessibility
Hoofddorp Centrum
Dual graph
Aalsmeer
of green spaces
Hoofddorp Gen
Reach 500 m not weighted
Accessibility of green spaces
low
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