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Record
Title
Shiny happy people : a governmentality analysis of climate adaptation planning in Skt. Kjelds Neighborhood in Copenhagen
Type
Student Paper
Publ. year
2016
Author/s
Caspersen, Mathilde Ankerstjerne
Department/s
LUCSUS (Lund University Centre for Sustainability Studies)
In LUP since
2016-06-23
Downloads

Total This Year This Month
826 71 0
 Downloads per Country

Sweden
136 (16%)
United States of America
102 (12%)
Germany
83 (10%)
Denmark
66 (8%)
Poland
58 (7%)
United Kingdom of Great Britain and Northern Ireland
56 (7%)
China
35 (4%)
Netherlands (Kingdom of the)
34 (4%)
Canada
15 (2%)
Unknown
15 (2%)
France
14 (2%)
Italy
12 (1%)
Australia
12 (1%)
Ireland
11 (1%)
Hong Kong (China)
9 (1%)
Norway
9 (1%)
Singapore
8 (1%)
Finland
8 (1%)
Spain
8 (1%)
Thailand
7 (1%)
Bangladesh
7 (1%)
Switzerland
7 (1%)
Iran
7 (1%)
Indonesia
6 (1%)
Turkiye
6 (1%)
Brazil
6 (1%)
Taiwan (China)
6 (1%)
South Korea
6 (1%)
Greece
5 (1%)
Israel
5 (1%)
Russian Federation
5 (1%)
Viet Nam
4 (0%)
Serbia
4 (0%)
Cote d'Ivoire
4 (0%)
Malaysia
4 (0%)
Portugal
3 (0%)
South Africa
3 (0%)
Belgium
3 (0%)
India
3 (0%)
Faroe Islands
2 (0%)
Lithuania
2 (0%)
Bulgaria
2 (0%)
Nepal
2 (0%)
Colombia
2 (0%)
Austria
2 (0%)
Japan
2 (0%)
Argentina
1 (0%)
Panama
1 (0%)
Malawi
1 (0%)
Lebanon
1 (0%)
New Zealand
1 (0%)
Pakistan
1 (0%)
Egypt
1 (0%)
Iceland
1 (0%)
Uganda
1 (0%)
Hungary
1 (0%)
Iraq
1 (0%)
Romania
1 (0%)
Ukraine
1 (0%)
Saudi Arabia
1 (0%)
Venezuela
1 (0%)
Georgia
1 (0%)
Uzbekistan
1 (0%)
Mexico
1 (0%)
Uruguay
1 (0%)
Syrian Arab Republic
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-05-28 12:58:00