Data

Restructuring Large Housing Estates in European Cities: Good Practices and New Visions for Sustainable Neighbourhoods and Cities - data from 31 large housing estates in 10 European countries (2004)

RMIT University, Australia
Dekker, Karien ; 0000-0001-7361-591x ; musterd, sako ; de vos, sjoerd ; van kempen, ronald
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.6084/m9.figshare.5436283.v1&rft.title=Restructuring Large Housing Estates in European Cities: Good Practices and New Visions for Sustainable Neighbourhoods and Cities - data from 31 large housing estates in 10 European countries (2004)&rft.identifier=10.6084/m9.figshare.5436283.v1&rft.publisher=RMIT University, Australia&rft.description=The empirical dataset is derived from a survey carried out on 25 estatesin 14 cities in nine different European countries: France (Lyon), Germany(Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands(Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain(Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey waspart of the EU RESTATE project (Musterd & Van Kempen, 2005). A similarsurvey was constructed for all 25 estates. The survey was carried out between February and June 2004. In each case,a random sample was drawn, usually from the whole estate. For some estates,address lists were used as the basis for the sample; in other cases, theresearchers first had to take a complete inventory of addresses themselves (forsome deviations from this general trend and for an overview of response rates,see Musterd & Van Kempen, 2005). In most cities, survey teams were hired tocarry out the survey. They worked under the supervision of the RESTATEpartners. Briefings were organised to instruct the survey teams. In some cases (forexample, in Amsterdam and Utrecht), interviewers were recruited from specificethnic groups in order to increase the response rate among, for example, theTurkish and Moroccan residents on the estates. In other cases, family memberstranslated questions during a face-to-face interview. The interviewers with animmigrant background were hired in those estates where this made sense. In someestates it was not necessary to do this because the number of immigrants was(close to) zero (as in most cases in CE Europe).The questionnaire could be completed by the respondents themselves, butalso by the interviewers in a face-to-face interview. Data and RepresentativenessThe data file contains 4756 respondents. Nearly all respondentsindicated their satisfaction with the dwelling and the estate. Originally, thedata file also contained cases from the UK.However, UK respondents were excluded from the analyses because ofdoubts about the reliability of the answers to the ethnic minority questions.This left 25 estates in nine countries. In general, older people and originalpopulations are somewhat over-represented, while younger people and immigrantpopulations are relatively under-represented, despite the fact that in estateswith a large minority population surveyors were also employed from minorityethnic groups. For younger people, this discrepancyprobably derives from the extent of their activities outside the home, making themmore difficult to reach. The under-representation of the immigrant populationis presumably related to language and cultural differences. For more detailedinformation on the representation of population in each case, reference is madeto the reports of the researchers in the different countries which can bedownloaded from the programme website. All country reports indicate thatdespite these over- and under-representations, the survey results are valuablefor the analyses of their own individual situation.This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework. &rft.creator=Dekker, Karien &rft.creator=0000-0001-7361-591x &rft.creator=musterd, sako &rft.creator=de vos, sjoerd &rft.creator=van kempen, ronald &rft.date=2017&rft.edition=1&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Human geography not elsewhere classified&rft_subject=Urban and regional planning not elsewhere classified&rft_subject=Sociology not elsewhere classified&rft_subject=post-Second World War housing estates&rft_subject=multi-level regression&rft_subject=Europe&rft_subject=housing satisfaction&rft_subject=urban regeneration&rft_subject=deprived neighbourhoods&rft_subject=attachment&rft_subject=civic attachment&rft_subject=social capital&rft_subject=housing refurbishment&rft_subject=housing&rft_subject=neighbourhood&rft_subject=employment&rft_subject=local services&rft_subject=social planning&rft_subject=single parent&rft_subject=ethnic minorities&rft_subject=racism&rft_subject=crime&rft_subject=social support&rft_subject=Human Geography not elsewhere classified&rft_subject=Urban and Regional Planning not elsewhere classified&rft_subject=Geography&rft_subject=Sociology&rft.type=dataset&rft.language=English Access the data

Full description

The empirical dataset is derived from a survey carried out on 25 estates
in 14 cities in nine different European countries: France (Lyon), Germany
(Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands
(Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain
(Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey was
part of the EU RESTATE project (Musterd & Van Kempen, 2005). A similar
survey was constructed for all 25 estates.





The survey was carried out between February and June 2004. In each case,
a random sample was drawn, usually from the whole estate. For some estates,
address lists were used as the basis for the sample; in other cases, the
researchers first had to take a complete inventory of addresses themselves (for
some deviations from this general trend and for an overview of response rates,
see Musterd & Van Kempen, 2005). In most cities, survey teams were hired to
carry out the survey. They worked under the supervision of the RESTATE
partners. Briefings were organised to instruct the survey teams. In some cases (for
example, in Amsterdam and Utrecht), interviewers were recruited from specific
ethnic groups in order to increase the response rate among, for example, the
Turkish and Moroccan residents on the estates. In other cases, family members
translated questions during a face-to-face interview. The interviewers with an
immigrant background were hired in those estates where this made sense. In some
estates it was not necessary to do this because the number of immigrants was
(close to) zero (as in most cases in CE Europe).



The questionnaire could be completed by the respondents themselves, but
also by the interviewers in a face-to-face interview.





Data and Representativeness



The data file contains 4756 respondents. Nearly all respondents
indicated their satisfaction with the dwelling and the estate. Originally, the
data file also contained cases from the UK.



However, UK respondents were excluded from the analyses because of
doubts about the reliability of the answers to the ethnic minority questions.
This left 25 estates in nine countries. In general, older people and original
populations are somewhat over-represented, while younger people and immigrant
populations are relatively under-represented, despite the fact that in estates
with a large minority population surveyors were also employed from minority
ethnic groups. For younger people, this discrepancy
probably derives from the extent of their activities outside the home, making them
more difficult to reach. The under-representation of the immigrant population
is presumably related to language and cultural differences. For more detailed
information on the representation of population in each case, reference is made
to the reports of the researchers in the different countries which can be
downloaded from the programme website. All country reports indicate that
despite these over- and under-representations, the survey results are valuable
for the analyses of their own individual situation.



This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework.

Issued: 25 09 2017

Created: 25 09 2017

Modified: 02 06 2023

This dataset is part of a larger collection

Identifiers