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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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    1. Lee, Ming S. & McNally, Michael G., 2003. "On the structure of weekly activity/travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 823-839, December.
    2. Lee, Ming S. & McNally, Michael G., 2003. "On the Structure of Weekly Activity/Travel Patterns," University of California Transportation Center, Working Papers qt15w464vp, University of California Transportation Center.
    3. Arentze, Theo A. & Timmermans, Harry J.P., 2009. "A need-based model of multi-day, multi-person activity generation," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 251-265, February.
    4. Ruiz, Tomás & Timmermans, Harry, 2008. "Changing the duration of activities in resolving scheduling conflicts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 347-359, February.
    5. Ben-Elia, Eran & Shiftan, Yoram, 2010. "Which road do I take? A learning-based model of route-choice behavior with real-time information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(4), pages 249-264, May.
    6. Auld, Joshua & Mohammadian, Abolfazl (Kouros) & Doherty, Sean T., 2009. "Modeling activity conflict resolution strategies using scheduling process data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 386-400, May.
    7. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
    8. Enrique Fernández L., J. & de Cea Ch, Joaquín & Germán Valverde, G., 2009. "Effect of advanced traveler information systems and road pricing in a network with non-recurrent congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 481-499, June.
    9. Bowman, J. L. & Ben-Akiva, M. E., 2001. "Activity-based disaggregate travel demand model system with activity schedules," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 1-28, January.
    10. Roorda, Matthew J. & Ruiz, Tomás, 2008. "Long- and short-term dynamics in activity scheduling: A structural equations approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 545-562, March.
    11. Sivaramakrishnan Srinivasan & Chandra Bhat, 2008. "An exploratory analysis of joint-activity participation characteristics using the American time use survey," Transportation, Springer, vol. 35(3), pages 301-327, May.
    12. Hejun Kang & Darren Scott, 2008. "An integrated spatio-temporal GIS toolkit for exploring intra-household interactions," Transportation, Springer, vol. 35(2), pages 253-268, March.
    13. Konrad Meister & Martin Frick & Kay Axhausen, 2005. "A GA-based household scheduler," Transportation, Springer, vol. 32(5), pages 473-494, September.
    14. Saadatseresht, Mohammad & Mansourian, Ali & Taleai, Mohammad, 2009. "Evacuation planning using multiobjective evolutionary optimization approach," European Journal of Operational Research, Elsevier, vol. 198(1), pages 305-314, October.
    15. Gan, Li Ping & Recker, Will, 2008. "A mathematical programming formulation of the household activity rescheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 571-606, July.
    16. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
    17. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun & Zhang, H. Michael, 2005. "Integrated scheduling of daily work activities and morning-evening commutes with bottleneck congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 41-60, January.
    18. Hoogendoorn, S. P. & Bovy, P. H. L., 2004. "Pedestrian route-choice and activity scheduling theory and models," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 169-190, February.
    19. Roorda, Matthew J. & Carrasco, Juan A. & Miller, Eric J., 2009. "An integrated model of vehicle transactions, activity scheduling and mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 217-229, February.
    20. Ettema, Dick & Bastin, Fabian & Polak, John & Ashiru, Olu, 2007. "Modelling the joint choice of activity timing and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 827-841, November.
    21. Tijs Neutens & Nico Weghe & Frank Witlox & Philippe Maeyer, 2008. "A three-dimensional network-based space–time prism," Journal of Geographical Systems, Springer, vol. 10(1), pages 89-107, March.
    22. Zhou, Jianyu (Jack) & Golledge, Reginald, 2007. "Real-time tracking of activity scheduling/schedule execution within a unified data collection framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 444-463, June.
    23. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
    24. Shaw, Shih-Lung & Yu, Hongbo, 2009. "A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space," Journal of Transport Geography, Elsevier, vol. 17(2), pages 141-149.
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    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. Chandra, Aitichya & Sharath, M.N. & Pani, Agnivesh & Sahu, Prasanta K., 2021. "A multi-objective genetic algorithm approach to design optimal zoning systems for freight transportation planning," Journal of Transport Geography, Elsevier, vol. 92(C).
    5. Fang, Zhixiang & Shaw, Shih-Lung & Tu, Wei & Li, Qingquan & Li, Yuguang, 2012. "Spatiotemporal analysis of critical transportation links based on time geographic concepts: a case study of critical bridges in Wuhan, China," Journal of Transport Geography, Elsevier, vol. 23(C), pages 44-59.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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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