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Modeling social interactions between individuals for joint activity scheduling

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  • Ronald, Nicole
  • Arentze, Theo
  • Timmermans, Harry

Abstract

Joint social activities, in particular those outside households, are currently ignored or modeled very simply in transport models, despite these sorts of activities contributing to a significant amount of travel. We describe an experimental model of social activities, in which individuals negotiate about the type, purpose, location, and days of activities. After participating in activities, individuals learn about new locations and acquaintances. Using concepts from the activity-based modeling and social networks fields, a prototype model was created using Python incorporating utility-based agents who used a protocol to communicate with each other about potential activities in order to negotiate a suitable day and location. It can be shown that agents with a large number of acquaintances participated in more activities. Pairs of agents with high similarity values, based on age and gender, also socialized with each other more often. Future work involves further development and validation and eventual incorporation into activity-based models.

Suggested Citation

  • Ronald, Nicole & Arentze, Theo & Timmermans, Harry, 2012. "Modeling social interactions between individuals for joint activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 276-290.
  • Handle: RePEc:eee:transb:v:46:y:2012:i:2:p:276-290
    DOI: 10.1016/j.trb.2011.10.003
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    Cited by:

    1. Steven Farber & Tijs Neutens & Juan-Antonio Carrasco & Carolina Rojas, 2014. "Social Interaction Potential and the Spatial Distribution of Face-to-Face Social Interactions," Environment and Planning B, , vol. 41(6), pages 960-976, December.
    2. Haochun Yang & Yunyi Liang, 2023. "Examining the Connectivity between Urban Rail Transport and Regular Bus Transport," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    3. Feixiong Liao & Theo Arentze & Harry Timmermans, 2013. "Multi-state supernetwork framework for the two-person joint travel problem," Transportation, Springer, vol. 40(4), pages 813-826, July.
    4. Matous, Petr, 2017. "Complementarity and substitution between physical and virtual travel for instrumental information sharing in remote rural regions: A social network approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 61-79.
    5. Allahviranloo, Mahdieh & Axhausen, Kay, 2018. "An optimization model to measure utility of joint and solo activities," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 172-187.
    6. Xiao Fu & William H. K. Lam, 2018. "Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks," Transportation, Springer, vol. 45(1), pages 23-49, January.
    7. Han, Chenglin & Luo, Lichen & Parady, Giancarlos & Takami, Kiyoshi & Chikaraishi, Makoto & Harata, Noboru, 2023. "Modeling joint eating-out destination choices incorporating group-level impedance: A case study of the Greater Tokyo Area," Journal of Transport Geography, Elsevier, vol. 111(C).
    8. 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).
    9. Ruiz, Tomás & Habib, Khandker Nurul, 2016. "Scheduling decision styles on leisure and social activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 304-317.
    10. 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.
    11. José Moore & Juan-Antonio Carrasco & Alejandro Tudela, 2013. "Exploring the links between personal networks, time use, and the spatial distribution of social contacts," Transportation, Springer, vol. 40(4), pages 773-788, July.
    12. Zhou, Mingzhi & Zhou, Jiali & Zhou, Jiangping & Lei, Shuyu & Zhao, Zhan, 2023. "Introducing social contacts into the node-place model: A case study of Hong Kong," Journal of Transport Geography, Elsevier, vol. 107(C).
    13. Sharmeen, Fariya & Arentze, Theo & Timmermans, Harry, 2014. "An analysis of the dynamics of activity and travel needs in response to social network evolution and life-cycle events: A structural equation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 159-171.
    14. Frank Goetzke & Regine Gerike & Antonio Páez & Elenna Dugundji, 2015. "Social interactions in transportation: analyzing groups and spatial networks," Transportation, Springer, vol. 42(5), pages 723-731, September.
    15. Xiao, Yu & Lo, Hong K., 2016. "Day-to-day departure time modeling under social network influence," Transportation Research Part B: Methodological, Elsevier, vol. 92(PA), pages 54-72.

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