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A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities

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  • Fang, Zhixiang
  • Tu, Wei
  • Li, Qingquan
  • Li, Qiuping

Abstract

Activity scheduling supports activity-based analysis in travel demand management and promotes a potentially popular traveler assistance service. A multi-objective approach is proposed to schedule joint participation of multiple individuals, in which the candidate space–time opportunities for joint participation are identified by a concept of time-varying network-based prisms, and optimal opportunities for joint participation are determined by the non-dominated sorting genetic algorithm-II (NSGA-II) with four objectives (i) minimizing cost for congestion charges, (ii) maximizing participation desirability of time-of-day, (iii) minimizing total travel distance and (iv) time in the trips of multiple individuals. A scenario of joint participation among four people is designed and implemented to demonstrate the feasibility of this approach. The results suggest that this approach has the ability to schedule activities within real situations.

Suggested Citation

  • Fang, Zhixiang & Tu, Wei & Li, Qingquan & Li, Qiuping, 2011. "A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities," Journal of Transport Geography, Elsevier, vol. 19(4), pages 623-634.
  • Handle: RePEc:eee:jotrge:v:19:y:2011:i:4:p:623-634
    DOI: 10.1016/j.jtrangeo.2010.06.019
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    References listed on IDEAS

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    5. Rouhani, Omid M. & Niemeier, Debbie, 2014. "Flat versus spatially variable tolling: A case study in Fresno, California," Journal of Transport Geography, Elsevier, vol. 37(C), pages 10-18.
    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. Wang, Yaoli & Winter, Stephan & Tomko, Martin, 2018. "Collaborative activity-based ridesharing," Journal of Transport Geography, Elsevier, vol. 72(C), pages 131-138.
    8. Mir Aftab Hussain Talpur & Shabir Hussain Khahro & Tauha Hussain Ali & Hassam Bin Waseem & Madzlan Napiah, 2023. "Computing travel impendences using trip generation regression model: a phenomenon of travel decision-making process of rural households," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5973-5996, July.
    9. Huiye Ma & Nicole Ronald & Theo Arentze & Harry Timmermans, 2013. "Negotiating on location, timing, duration, and participant in agent-mediated joint activity-travel scheduling," Journal of Geographical Systems, Springer, vol. 15(4), pages 427-451, October.
    10. Xiping Yang & Zhiyuan Zhao & Shiwei Lu, 2016. "Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots," Sustainability, MDPI, vol. 8(7), pages 1-18, July.

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