Spatial variation in the potential for social interaction: A case study in Flanders (Belgium)

Neutens, Tijs; Farber, Steven; Delafontaine, Matthias; Boussauw, Kobe

doi:10.1016/j.compenvurbsys.2012.06.007

Cited by 25 publications

(16 citation statements)

References 41 publications

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“…It draws attention to the centrality of accessibility -the (relative) ease with which a person can reach potential destinations (Neutens et al, 2010;Páez et al, 2012) -to social interaction and participation in society (see also the line of research by Farber et al (2013; and Neutens et al (2013) on social interaction potential). Second, it underlines that exclusion is in many ways a relative phenomenon.…”

Section: 2| Transport Disadvantagementioning

confidence: 99%

Rethinking the links between social exclusion and transport disadvantage through the lens of social capital

Schwanen

Lucas

Akyelken

et al. 2015

Transportation Research Part A: Policy and Practice

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172

117

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This paper provides a critical review of the progress in understanding the linkages between transport disadvantage and social exclusion. It follows earlier work in proposing social capital as a concept that mediates those linkages but argues that transport researchers must not confine themselves to conceptualisations of social capital as predominantly benign and capable of reducing transport disadvantage and social exclusion. A range of hypothetical pathways is discussed, highlighting the Janus-faced character of social capital as a medium for both the effectuation of progressive social change and the perpetuation and creation of social inequalities. An analysis is provided of the extent to which the recent transport-related literature supports or rejects the hypothesised pathways, and key avenues for future research are identified.Key words: social exclusion, transport disadvantage, social capital, literature review, social network 1 1| IntroductionThere is a long tradition in transport studies, urban studies and human geography of research that examines the connections of mobility with social inequality and deprivation (Kain, 1968;Wachs and Kumagai, 1973;Hanson and Hanson, 1980;Kwan, 1999;Neutens et al., 2010), and a range of papers on those connections have recently been published in TransportationResearch Part A (Stanley et al., 2011;Martens et al., 2012;Mullen et al., 2014). Within that tradition researchers have suggested direct causal links between transport and social exclusion (Church et al., 2000;Hine and Mitchell, 2001;Lucas et al., 2001;Kenyon et al., 2002; Lucas, 2004Lucas, , 2012Cass et al., 2005;Gray et al., 2006;Preston and Rajé, 2007;Stanley et al., 2011). Scholarship on these links flourished in the early 21 st century, in part because of the interest the Labour government under Tony Blair took in reducing social exclusion in the UK. Yet, this flourishing also reflects more general concerns over the effects of neoliberal urban and transport policies on the less privileged segments of urban and rural populations in the UK and elsewhere.The intimate connections of academic work on mobility and exclusion with the realms of policy-making and -less frequently -grassroots activism imply that research on transport and social exclusion ticks many of the 'impact' and 'knowledge valorisation' boxes that are increasingly important in research evaluations. However, the flipside of this orientation on policy and practice is that theoretical development has not always been the highest priority among researchers. Past studies have significantly expanded our understanding of concepts, such as mobility-related exclusion (Kenyon et al., 2002), access (Cass et al., 2005 or network capital (Urry, 2007(Urry, , 2012, but research has to a considerable degree progressed through cumulative broadening of empirical research.2 Therefore, the current paper draws upon various theoretical perspectives on social capital and explores how they can strengthen the theoretical basis of research about transport and social ...

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Section: 2| Transport Disadvantagementioning

confidence: 99%

Rethinking the links between social exclusion and transport disadvantage through the lens of social capital

Schwanen

Lucas

Akyelken

et al. 2015

Transportation Research Part A: Policy and Practice

Self Cite

172

117

View full text Add to dashboard Cite

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“…For example, Putnam (2000), Forrest and Kearns (2001) and Van Kempen and Bolt (2009) focused on social interaction in relation to social capital and social cohesion. Farber et al (2013) and Neutens et al (2013) discussed social interaction potential of regions based on a time-geographic framework. The relation between face-to-face social interaction and social interaction mediated by information and communication technology (ICT) has been studied by Baym et al (2004), Boase et al (2006), Mokhtarian et al (2006), Tillema et al (2010) and Van den Berg et al (2012).…”

Section: Local Social Interactionmentioning

confidence: 99%

A multilevel analysis of factors influencing local social interaction

2015

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Social interaction is an important aspect of people's quality of life. Since social networks are becoming more spatially spread as a result of the development of transportation and communication technology, it is interesting to investigate to which extent local social interactions still take place. This paper therefore analyses to what extent local social interactions are affected by characteristics of the residential environment as well as personal and mobility attributes. The analyses are based on data collected in 2008 in Eindhoven and a number of smaller surrounding villages in the south of the Netherlands among 747 respondents. The data collection instrument consisting of a two-day social interaction diary was used to gather detailed information about the respondents' interactions and the persons they contacted. Using these data a multilevel binomial logit model is estimated analyzing whether or not a social interaction took place with a local tie (someone within 1 km distance). The results indicate that the likelihood of interacting with a local tie is affected by personal characteristics (age, gender, household size, work), mobility characteristics (number of cars, commuting time), size of the community and the presence of facilities (supermarket, sports, public transport) in the residential area.

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“…Other contexts in which social interaction has been studied lately are social interaction potential of regions based on a time-geographic framework (e.g., Wong and Shaw 2011;Farber, Giles-Corti, Wood, and Knuiman 2012;Farber, Neutens, Miller, and Li 2013;Neutens et al 2013), social exclusion (e.g., Schönfelder and Axhausen 2003;Lee and Kwan 2011) Carrasco and Miller 2006;Arentze and Timmermans 2008;Farber and Páez 2009;Dugundji et al 2011;Van den Berg, Arentze, and Timmermans 2011), and the relation between face-to-face and ICT-based social interaction (e.g., Boase et al 2006;Mokhtarian, Salomon, and Handy 2006;Tillema, Dijst, and Schwanen 2010;Van den Berg, Arentze, and Timmermans 2012).…”

Section: Literaturementioning

confidence: 99%