Neighborhood Analysis

Abstract

Keim (1979) and Matthiesen (1998) showed that a milieu distinction in addition to the former social structures differentiation of the society in classes, stacks, ethnic groups and generations could give urban sciences a deeper understanding of social structures and processes in urban areas. In the past, the hierarchical models were dominant in the social sciences of urban development, but more and more urban researchers see the importance of including the vertical layers in their analysis, like the milieu approach. Because of this, we now find more analyses which use the milieu approach. Scheiner and Holz-Rau (2003, p. 508) found that “travel mode is more affected by life situation then by life style. However, life style plays an important role by affecting location attitudes and location decisions.” About the mobility of people, Becker (2005, p. 105) concludes that, for the location decision, the life conditions are important. For the mobility between regions, work, apprenticeship and leisure are crucial, but for within city mobility, housing conditions are more important. Therefore, it could be shown that, for a location decision, the meso environment, which is characterized by built infrastructure as well as supply structure objects, is the crucial factor for the location decision.

To answer the question about the location preferences of different population groups within a city, for actual studies like the research project “Wohnpräferenzen” [living preferences] of the University of Applied Science Luzern, researchers are using quantitative and qualitative interviews of the resident population. Also Schmidt et. all. (2006) uses a comparative study for qualitative interviews. The residents were asked, like in the studies from Delbiaggio et. all. or Scheiner (2009), about their resident preferences. All theses studies have in common that they collect the data in a small regional area. None of these studies are representative for the urban resident population in Germany.

Based on these aims, I developed in a DFG and FES raised study, a model with data from the social-economic panel (SOEP), a longitudinal survey of the German Institute for Economic Research (DIW), which allows an assignment of a specific infrastructure and supply structure.

Further Information

Project duration

January 2009 – November 2012

Funding

The project is funded by the Friedrich-Ebert Foundation (FES)

Cooperation partners

Friedrich-Ebert-Foundadtion   Deutsche Forschungsgemeinschaft - German Research Foundation   City of Dresden Bauhaus-University Weimar

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