Transportation and social interactions

Dugundji, Elenna R.; Páez, Antonio; Arentze, Theo; Walker, Joan L.; Carrasco, Juan Antonio; Marchal, Fabrice; Nakanishi, Hitomi

doi:10.1016/j.tra.2011.01.001

Cited by 52 publications

(27 citation statements)

References 46 publications

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“…Dugundji et al 2011). Data collection and empirical analyses have focused on travel frequency (or face-to-face contact frequency), travel distance (or the distance between homes of the contacting persons) and transport mode choice (e.g.…”

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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Section: Local Social Interactionmentioning

confidence: 99%

A multilevel analysis of factors influencing local social interaction

2015

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“…It also helps in transcending the realms of the social, the economic and the political -all of which mediate the relations between transport and social exclusion -and has much currency outside academia. Hence, social scientists' thinking on social capital can both aid in the ongoing theorisation of the social dimensions of travel behaviour in mainstream transport research and the current journal (Dugundji et al, 2011;Cairns et al, 2014; Di Ciommo et al, 2014), and add perspectives that are not normally 3 considered in transport academics' research about the role of transportation in social exclusion. This will help transport researchers and planners to better understand how transport disadvantage can be tackled through policies and other interventions.…”

Section: | Introductionmentioning

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

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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“…A few studies with a special focus on leisure activities (including social activities) have been published recently (e.g., Schlich et al 2004;Stauffacher et al 2005;Miller 2006, 2009;Kemperman et al 2006;Mokhtarian et al 2006;Dugundji et al 2008;Farber and Páez 2009;Tarigan and Kitamura 2009;Van den Berg et al 2010, 2011bDugundji et al 2011;LaMondia and Bhat 2011). Until recently, leisure activities have been treated as a single category, neglecting their heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

2012

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Leisure activities have received increasing attention from travel behavior researchers over the past decade. However, these activities are often treated as a single category, neglecting their differences. Whereas most leisure activities are flexible, club activities are usually scheduled longer in advance and are more fixed in time, location and company. Hence, trip-generating properties of club activities are likely to differ from those of other leisure activities. As very little is known about involvement in clubs or voluntary associations in relation to trip generation, voluntary association activities deserve further research in relation to travel. Therefore, in this paper a path analysis is conducted, analyzing the relationships between participation in clubs or voluntary associations, trip frequencies, and social network characteristics. The analyses are based on data collected in 2011 in Eindhoven in the Netherlands in a survey among 516 respondents. The results show interesting relationships between the social context and involvement in clubs. They indicate that people become club members through their social networks, and frequent club activities increase social network size. Family oriented people were found to go less often to clubs. Club membership and the frequency of going to club activities were also found to be affected by socio-demographics, such as gender, age, education, work, presence of young children in the household and owning a season ticket for public transport.

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Transportation and social interactions

Cited by 52 publications

References 46 publications

A multilevel analysis of factors influencing local social interaction

A multilevel analysis of factors influencing local social interaction

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

Involvement in clubs or voluntary associations, social networks and activity generation: a path analysis

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