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Individuals' social preferences in joint activity location choice: A negotiation model and empirical evidence

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  • Arentze, Theo A.

Abstract

Out-of-home leisure activities are often conducted jointly by individuals implying that location and travel choices made for these activities are the result of a group interaction. Current utility-theoretic approaches assume an aggregated group utility function and hence ignore aspects of the group decision making process. In this study, an empirical model of joint-activity choice is developed that, in contrast, assumes a negotiation process. A social utility function describes how individuals deal with preference differences in the group. The model is estimated based on an experimental activity-travel choice task where group settings are mimicked. A sample (N=315) from a national panel of individuals participated in the experiment. Estimation results based on a discrete mixture model show that individuals display a preference for locations in which losses are equally distributed in the group even when this comes at the costs of the total group outcome. Results further show that the social utility function is asymmetric: compromise solutions are favored more strongly when consequences relate to costs (travel costs) than when they concern rewards (attractiveness). Furthermore, there is considerable heterogeneity in how people make social trade-offs. It is concluded that the model offers new insights in location preferences for joint activities that should be taken into account in spatial choice models and accessibility analysis.

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  • Arentze, Theo A., 2015. "Individuals' social preferences in joint activity location choice: A negotiation model and empirical evidence," Journal of Transport Geography, Elsevier, vol. 48(C), pages 76-84.
  • Handle: RePEc:eee:jotrge:v:48:y:2015:i:c:p:76-84
    DOI: 10.1016/j.jtrangeo.2015.08.018
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    2. Yuwen Zhao & Pauline E. W. van den Berg & Ioulia V. Ossokina & Theo A. Arentze, 2022. "Individual Momentary Experiences of Neighborhood Public Spaces: Results of a Virtual Environment Based Stated Preference Experiment," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    3. Seyed Morsal Ghavami & Mohammad Taleai, 2017. "Towards a conceptual multi-agent-based framework to simulate the spatial group decision-making process," Journal of Geographical Systems, Springer, vol. 19(2), pages 109-132, April.
    4. Matthew J. Beck & John M. Rose, 2019. "Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?," Transportation, Springer, vol. 46(4), pages 1195-1213, August.
    5. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    6. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
    7. Wang, Yaoli & Winter, Stephan & Tomko, Martin, 2018. "Collaborative activity-based ridesharing," Journal of Transport Geography, Elsevier, vol. 72(C), pages 131-138.

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