SelfOrganised Criticality and Complication in the U'K' Urban Distribution - PowerPoint PPT Presentation

1 / 57
About This Presentation
Title:

SelfOrganised Criticality and Complication in the U'K' Urban Distribution

Description:

Sandpile model. Forest fires. Earthquakes. Cellular Automata (J.H. Conway) ... Lessons from the Sandpile Model. 1. System begins in a equilibrium state (i.e. flat) ... – PowerPoint PPT presentation

Number of Views:60
Avg rating:3.0/5.0
Slides: 58
Provided by: alasdair6
Category:

less

Transcript and Presenter's Notes

Title: SelfOrganised Criticality and Complication in the U'K' Urban Distribution


1
Self-Organised Criticality and Complication in
the U.K. Urban Distribution
  • Alasdair (Sasha) Anderson
  • a.anderson1_at_lancaster.ac.uk

2
Criticality
  • Notion of criticality comes from the Greek
    kritikos
  • ???t???? able to discern or judge
  • Its application in the context of chemistry
    denotes a phase transition from one state of
    matter to another.

3
Criticality in Chemistry
4
Critical Transitions in History
  • Equivalent phase transitions in human history
  • c.40,000 BP Great Leap Forward
  • Sophisticated co-operation in hunting networks
    of barter trade
  • c.4000BC Neolithic Revolution
  • Agriculture and rural settlement
  • c.AD1750 Industrial Revolution
  • Secondary manufacturing and urbanisation

5
Critical Transitions in History
6
Self-Organisation
  • Structure appears within the system independently
    of external force.
  • It is determined by local interactions of
    multiple component agents or degrees of freedom.
  • Goal of system is an attractor in phase space.

7
Self-Organisation in History
  • The essence of history - including that of the
    urban distribution - is the interactive process
    of constant self-organisation between four
    categories of agency
  • Individuals
  • Collectives (societies, families, nations,
    classes)
  • Environments (location, resources, climate)
  • Memes (units of replicated information, notably
    ideas)

8
Self-organised Criticality
  • Per Bak et al. introduced the concept in
    Self-organised Criticality an Explanation of 1/f
    noise (1987).
  • Sandpile model.
  • Forest fires
  • Earthquakes
  • Cellular Automata (J.H. Conway)
  • Evolutionary Biology (S. J. Gould)
  • Size and Frequency of Wars (G.G. Brunk)
  • Urban Distribution (M. Batty, Y. Xie)

9
Lessons from the Sandpile Model
  • 1. System begins in a equilibrium state (i.e.
    flat).
  • 2. Crosses the threshold to non-equilibrium that
    resolves to a power law distribution.
  • 3. Non-equilibrium has a numerical value, the
    angle of repose (32 to 34ยบ), suggesting a point
    attractor.
  • 4. Scale Invariant Behaviour - it applies both to
    sand dunes and egg timers.
  • 5. Connectivity between every grain of sand and
    every other.
  • 6. Maintained by avalanches (punctuations) of
    varying sizes, also conforming to a power law.

10
Equilibrium Phase
  • Early phases of settlement equate most closely to
    the random distribution of the environment
    (similar to sand in its flat configuration).
  • In this scenario, individual leaders could
    exercise a strong influence on the future
    evolution of the system, reflected in the naming
    of settlements.
  • Edinburgh (Din Eidyn - Eidyns Hill-fort)
  • Anglo-Saxon settlements with -ing suffix (people
    of )

11
Power Law Distribution
  • G.K. Zipf (1949) in Human Behaviour and the
    Principle of Least Effort proposed the
  • rank-size principle from the frequency of words
    in a text.
  • Thence, the Zipf Law has been applied to cities,
    on the basis of their distribution to a power
    law.

12
Line of Criticality 1520
13
Line of Criticality 1600
14
Line of Criticality 1670
15
Line of Criticality 1700
16
Line of Criticality 1750
17
Line of Criticality 1801
18
Line of Criticality 1821
19
London, Southwark, and Lambeth (1747)
20
London, Southwark, and Lambeth (1802)
21
London, Southwark, and Lambeth (1830)
22
Line of Criticality 1851
23
Line of Criticality 1861
24
Line of Criticality 1871
25
Line of Criticality 1881
26
Line of Criticality 1891
27
Line of Criticality 1901
28
Line of Criticality 1901
29
Line of Criticality 1911
30
Line of Criticality 1921
31
Line of Criticality 1931
32
Line of Criticality 1938
33
Line of Criticality 1947
34
Line of Criticality 1951
35
Line of Criticality 1961
36
Line of Criticality 1971
37
Line of Criticality 1975
38
Line of Criticality 1981
39
Line of Criticality 1985
40
Line of Criticality 1989
41
Line of Criticality 1991
42
Line of Criticality 1993
43
Are the Data Wrong?
  • Data between 1901 and 1961 contain anachronism of
    Greater London post-1965 London Boroughs, rather
    than Metropolitan and Municipal Boroughs.
  • Data after 1961 contain spurious administrative
    units (Kirklees, Wirral, West Norfolk).
  • However, this is insufficient to account for the
    persistence of the line.

44
Is the Theory Wrong?
  • Cut-off point is misleading, as it truncates the
    fat tail or long tail. Data without a cut-off
    show settlements below a point that apparently
    violates the law.
  • The primate city is consistently too populous for
    the prediction (possibly for reasons which may be
    explained).
  • However, the very number of settlements
    conforming to the line and its persistence across
    an extended period of time support the conclusion
    that a power law is involved.

45
Is Reality Wrong?
  • Should London be depopulated to conform to power
    law?
  • Town Country Planning Act (1947) Green Belt
    New Towns Decentralisation policies of 1960s and
    70s attempted this (rather as the Elizabethans
    had done).
  • N. Georgescu-Roegen in Entropy and the Economic
    Process (1971) was proposing radical
    de-urbanisation.
  • Should population be imposed on the smaller
    settlements?

46
Power Law Line of Best Fit
47
Panocephalicity and Catouricity
48
Panocephalicity of London
49
Panocephalicity of London
50
Catouricity
  • According to the theory, the cut-off point
    excludes the rural settlements, the origins of
    the urban system. (M. Batty).
  • However, the smallest settlements are not all
    characteristically rural.
  • This downward morphology is evident to the very
    tip - scale invariant behaviour is an essential
    feature of the distribution.

51
Catouricity in Small Settlements
52
Decentring and Punctuations
  • Fernand Braudels concept of centring,
    decentring, and recentring describes radical
    shifts of the world economic centre. These
    represent high-level landslide-like events in
    economic history
  • Venice (1380s-1500)
  • Antwerp (1500-1550)
  • Genoa (1550-1600)
  • Amsterdam (1600-1780)
  • London (1815-1900s)
  • New York (1900s - )

53
Decentring and Punctuations
  • Shifts in rank and population size also
    correspond to the avalanches in the Per Bak
    model.
  • A manifestation of complication in human systems
    is that population transfers between urban
    centres (unlike sand) can either flow up or down
    the distribution
  • These shifts also equate to the punctuated
    equilibria proposed by Stephen Jay Gould in
    evolutionary biology.

54
Decentring and Punctuations
55
Decentring and Punctuations
56
Decentring and Punctuations
57
Self-Organised Criticality and Complication in
the U.K. Urban Distribution
  • Alasdair (Sasha) Anderson
  • a.anderson1_at_lancaster.ac.uk
Write a Comment
User Comments (0)
About PowerShow.com