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Social Interaction Location Choice: A Latent Class Modeling Approach

Author

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  • Pauline van den Berg
  • Astrid Kemperman
  • Harry Timmermans

Abstract

Social contacts are an important aspect of an individual's quality of life. Social contacts take place at a certain time and location: Geography matters, for instance, at home or a work location or at different types of (local) facilities such as schools, shops, sports, and catering facilities. For urban planners, it is essential to know which locations provide opportunities for social interaction. As this knowledge is currently largely lacking, more empirical research is needed. The purpose of this study, therefore, is to analyze the diversity of participation in social activities at different locations and the relationship among social interaction location, sociodemographic characteristics, and characteristics of the residential environment. The analyses are based on two-day social interaction diary data that were collected in 2008 among 747 respondents living in the Eindhoven region in The Netherlands. A latent class multinomial logit model is used to segment respondents in terms of their social activity location choices. The article reports findings of several descriptive analyses and the latent class model. Four latent classes are identified, showing different patterns in choices for social activity locations. Latent class membership can be explained by household and personal time-use characteristics (e.g., gender, age, household type, number of face-to-face social interactions, frequency of contact with neighbors), as well as characteristics of the residential environment (e.g., urban density, distance to several facilities, and satisfaction with local facilities). The findings could provide useful information for local governments and planners regarding the importance of public facilities for social interaction of various segments of the population to support individual well-being and neighborhood livability.

Suggested Citation

  • Pauline van den Berg & Astrid Kemperman & Harry Timmermans, 2014. "Social Interaction Location Choice: A Latent Class Modeling Approach," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(5), pages 959-972, September.
  • Handle: RePEc:taf:raagxx:v:104:y:2014:i:5:p:959-972
    DOI: 10.1080/00045608.2014.924726
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    Citations

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    Cited by:

    1. Pauline Van den Berg & Astrid Kemperman & Boy De Kleijn & Aloys Borgers, 2015. "Locations that Support Social Activity Participation of the Aging Population," IJERPH, MDPI, vol. 12(9), pages 1-18, August.
    2. Limon Barua & Bo Zou & Yan Zhou & Yulin Liu, 2023. "Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017," Transportation, Springer, vol. 50(2), pages 437-476, April.
    3. Daniel Hummel, 2020. "The effects of population and housing density in urban areas on income in the United States," Local Economy, London South Bank University, vol. 35(1), pages 27-47, February.
    4. Parady, Giancarlos & Frei, Andreas & Kowald, Matthias & Guidon, Sergio & Wicki, Michael & van den Berg, Pauline & Carrasco, Juan-Antonio & Arentze, Theo & Timmermans, Harry & Wellman, Barry & Takami, , 2021. "A comparative study of social interaction frequencies among social network members in five countries," Journal of Transport Geography, Elsevier, vol. 90(C).
    5. Sui Zhang & Minghao Wang & Zhao Yang & Baolei Zhang, 2021. "A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.

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