Urban studies - investigating London
See: The London Initiative: Education Component at http://www.rgs.org and http://www.agi.org.uk
http://londonelection.geoweb.co.uk/anmmaps/ and http://www.london-research.gov.uk/pdf/ (demographic data)
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The aim of this exercise is to investigate urban characteristics in different London Boroughs. You will also
Sources of Information Click on the constituency names on the map opposite for more demographic data Postcode maps:
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The typical urban zones are
1. CBD: high building density, shops, offices, public building, limited parks, few schools
2. Inner City: high density, small/no gardens, possibly high rise, grid pattern, small parks.
3. Inner Suburbs: medium density, single storey, tree lined roads, semi detached and detached houses with gardens, parks, schools
4. Outer Suburbs: singley storey or bungalows, wide roads, housing parks, single storey factories, open space, schools, leisure
Q1. Click on the blue links on the table below to fill in the missing data and blanks.
Q2. Try to decide which urban zone is represented by each postcode on the table. You may like to print out the London Borough map and mark each postcode in its correct location. Postcode maps W London, E London
Q3.Write a brief description and explanation of the urban characteristics, age structure, ethnicity, % predicted population change and unemployment data for each of the urban zones you have investigated:
1 CBD
2 Inner City
3 Inner Suburbs
4 Outer Suburbs
Q4. What generalisations can be made about the relationship between the distance from CBD and
a) building density
b) % green space
c) age structure
d) % predicted population change (2000-2008)
Q5. Study the map of the Assembly election results. What conclusions can be drawn about the voting patterns?
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Postcode |
Borough |
Building density |
Building type/use? |
% and type of open space |
Other |
% 0 -14yr |
% +65yr |
% ethnic |
% change 2000-08 |
% unempl |
Zone? |
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1 |
mod |
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some parks |
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2 |
low |
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3 |
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lake, small parks |
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5 |
high |
shops, offices, terraces |
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river, major roads |
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7 |
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housing |
10% park |
river |
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8 |
mod |
terraces, factories, football |
15% park |
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10 |
mod |
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15% green |
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11 |
high |
high density terraces, some high rise |
10% green |
railway |
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15 |
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semis, detached |
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18 |
mod |
semis |
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19 |
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terraces, high rise |
5% park |
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20 |
high |
high rise, terraces |
derelict land |
main roads |
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Borough |
Building density |
Building type/use? |
% and type of open space |
Other |
% 0 -14yr |
% +65yr |
% ethnic |
% change 2000-08 |
% unempl |
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1 |
mod |
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some parks |
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2 |
low |
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farmland |
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3 |
high |
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lake, small parks |
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5 |
high |
shops, offices, terraces |
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river, major roads |
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7 |
mod |
housing |
10% park |
river |
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8 |
mod |
terraces, factories, football |
15% park |
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10 |
mod |
semis, park, high-rise |
15% green |
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11 |
high |
high density terraces, some high rise |
10% green |
railway |
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15 |
low |
semis, detached |
20% park/woodland |
very green |
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18 |
mod |
semis |
50%, sportsfields |
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19 |
high |
terraces, high rise |
5% park |
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20 |
high |
high rise, terraces |
derelict land |
main roads |
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First Count |
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Ken Livingstone |
Ind |
667,877 |
(38.96%) |
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Steven Norris |
C |
464,434 |
(27.09%) |
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Frank Dobson |
Lab |
223,884 |
(13.06%) |
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Susan Kramer |
LD |
203,452 |
(11.87%) |
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Ram Gidoomal |
CPA |
42,060 |
(2.45%) |
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Darren Johnson |
Green |
38,121 |
(2.22%) |
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Michael Newland |
BNP |
33,569 |
(1.96%) |
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Damian Hockney |
UK Ind |
16,324 |
(0.95%) |
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Geoffrey Ben-Nathan |
Pro-motor |
9,956 |
(0.58%) |
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Ashwinkumar Tanna |
Ind |
9,015 |
(0.53%) |
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Geoffrey Clements |
NLP |
5,470 |
(0.32%) |
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Second Count |
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Ken Livingstone |
Ind |
776,427 |
(57.92%) |
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Steven Norris |
C |
564,137 |
(42.08%) |
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Individual majority |
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212,290 |
(15.84%) |
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