A multilevel analysis of factors influencing local social interaction
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....
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| Veröffentlicht in: | Transportation (Dordrecht) 2015-09, Vol.42 (5), p.807-826 |
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| creator | van den Berg, Pauline Arentze, Theo Timmermans, Harry |
| description | 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. |
| doi_str_mv | 10.1007/s11116-015-9648-4 |
| format | Article |
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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). 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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.</description><subject>Communication</subject><subject>Commuting</subject><subject>Data collection</subject><subject>Differential analysis</subject><subject>Discriminant analysis</subject><subject>Economic Geography</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Education</subject><subject>Engineering Economics</subject><subject>Households</subject><subject>Innovation/Technology Management</subject><subject>Logistics</subject><subject>Marketing</subject><subject>Mobility</subject><subject>Multilevel</subject><subject>Neighborhoods</subject><subject>Netherlands</subject><subject>Older 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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.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11116-015-9648-4</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Communication Commuting Data collection Differential analysis Discriminant analysis Economic Geography Economics Economics and Finance Education Engineering Economics Households Innovation/Technology Management Logistics Marketing Mobility Multilevel Neighborhoods Netherlands Older people Organization Public transportation Quality of life Regional/Spatial Science Regression analysis Residential areas Social aspects Social behavior Social capital Social interaction Social networks Social research Spreads Studies Supermarkets Transportation Transportation research |
| title | A multilevel analysis of factors influencing local social interaction |
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