Hur bra fungerar SAMSområdena i studier av grannskapseffekter? En studie av SAMSområdenas homogenitet

Amcoff, Jan

doi:10.3384/svt.2012.19.2.2450

Cited by 12 publications

(11 citation statements)

References 8 publications

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“…For each individual in the dataset, Statistics Sweden provides information on the Small Areas for Market Statistics (SAMS-areas) in which they reside, and this sub-municipal division is the one commonly used in Swedish studies on residential segregation. However, it has been recently proved that SAMS-areas do not unequivocally identify homogeneous neighbourhoods in relation to their housing and population attributes, given the changes that have taken place in Swedish cities since these sub-municipal units were identified in 1993 (Amcoff, 2012).…”

Section: Data Description and Methodologymentioning

confidence: 99%

The impact of income inequality on economic residential segregation: The case of Malmö, 1991–2010

Scarpa

2014

Urban Studies

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As in other Western countries, in Sweden there is a widespread conviction that residential segregation influences the opportunities for residents’ social mobility and therefore is a cause of income inequality. But the opposite direction of causality, from income inequality to residential segregation, is often ignored. The paper fills this gap and analyses income inequality and economic residential segregation developments in Malmö in the years 1991–2010. During this period, changes in population composition owing to increased immigration had a negligible impact on income inequality, while the latter was primarily influenced by changes in the distribution of labour market earnings and capital incomes. At the same time, neighbourhood income inequality was predominantly driven by overall household income inequality and only to a much lower extent by the increase in residential sorting by income. Policy influencing income distribution rather than area-based strategies should thus be at the centre of current debates on residential segregation in Sweden.

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Section: Data Description and Methodologymentioning

confidence: 99%

The impact of income inequality on economic residential segregation: The case of Malmö, 1991–2010

Scarpa

2014

Urban Studies

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“…Most walking/cycling trips for the selected activities are made within this distance. Yet, although the SAMS are geographically detailed in urban areas, they can be quite large in sparsely populated areas (Amcoff, 2012). Accessibility measures are therefore less reliable in rural areas.…”

Section: Variable Definitionsmentioning

confidence: 99%

When local access matters: A detailed analysis of place, neighbourhood amenities and travel choice

2020

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How cities can become more conducive to sustainable travel patterns is a pressing matter in urban research. In the built environment–travel literature, several features potentially promoting sustainable mobility remain under-researched. One concerns the precise role of local accessibility – in terms of the number, variety and specific types of amenities – in promoting the slow modes of walking and cycling and in reducing car use. Another is the possibility that the standard assumption of a linear relationship between density and (un)sustainable travel is flawed. To fill these gaps, we explore specific local amenity supply types that stimulate a large share of residents to walk or cycle, avoiding long drives, to accomplish their daily activities. In a case study of the Västra Götaland region in Sweden, we analyse a combination of high-quality micro data from registers and the national travel survey using a stepwise statistical approach. We find evidence of non-linear discontinuities and significant geographical variation in how local accessibility affects travel behaviour. While more neighbourhood amenities contribute to more walking/cycling, the effect of establishing additional amenities varies amongst neighbourhood types and travel variables. Local everyday services, for example, grocery stores and preschools, are critical in triggering change. The findings inform urban planning by showing how a basic supply of essential amenities could contribute to better prerequisites for walking or cycling and reduced car dependence by inducing residents to choose local options.

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“…Some Swedish studies use the Small Areas for Market Statistics (SAMS). The disadvantage of these is that they are not uniform for the three regions studied (seeAmcoff, 2012). Others, for example van Ham et al (2014), use bespoke measures, which, unlike ours, do not consider the physical characteristics of, for example, buildings and roads when defining what constitutes a neighborhood.6 To achieve this, extensive consultation was undertaken with locally active persons such as teachers and social workers in each area.…”

mentioning

confidence: 99%

Residential Segregation from Generation to Generation: Intergenerational Association in Socio-Spatial Context Among Visible Minorities and the Majority Population in Metropolitan Sweden

2016

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Hur bra fungerar SAMSområdena i studier av grannskapseffekter? En studie av SAMSområdenas homogenitet

Cited by 12 publications

References 8 publications

The impact of income inequality on economic residential segregation: The case of Malmö, 1991–2010

The impact of income inequality on economic residential segregation: The case of Malmö, 1991–2010

When local access matters: A detailed analysis of place, neighbourhood amenities and travel choice

Residential Segregation from Generation to Generation: Intergenerational Association in Socio-Spatial Context Among Visible Minorities and the Majority Population in Metropolitan Sweden

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