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Original Articles

Incorporating activity-travel time uncertainty and stochastic space–time prisms in multistate supernetworks for activity-travel scheduling

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Pages 928-945 | Received 14 May 2013, Accepted 10 Jan 2014, Published online: 25 Mar 2014

References

  • Arentze, T.A. and Timmermans, H.J.P., 2004a. A learning-based transportation oriented simulation system. Transportation Research Part B: Methodological, 38, 613–633. doi:10.1016/j.trb.2002.10.001
  • Arentze, T.A. and Timmermans, H.J.P., 2004b. A multi-state supernetwork approach to modelling multi-activity multi-modal trip chains. International Journal of Geographical Information Science, 18, 631–651. doi:10.1080/13658810410001701978
  • Carlier, K., et al., 2003. A supernetwork approach towards multimodal travel modelling. In: Proceedings of the 82nd annual meeting of the transportation research board, 12–16 January, Washington, DC.
  • Chen, A. and Ji, Z., 2005. Path finding under uncertainty. Journal of Advanced Transportation, 39, 19–37. doi:10.1002/atr.5670390104
  • Chen, B.Y., et al., 2012. Reliable shortest path finding in stochastic networks with spatial correlated link travel times. International Journal of Geographical Information Science, 26, 365–386. doi:10.1080/13658816.2011.598133
  • Chen, B.Y., et al., 2013a. Reliable space–time prisms under travel time uncertainty. Annals of the Association of American Geographers, 103 (6), 1502–1521. doi:10.1080/00045608.2013.834236
  • Chen, B.Y., et al., 2013b. Finding reliable shortest paths in road networks under uncertainty. Networks and Spatial Economics, 13, 123–148. doi:10.1007/s11067-012-9175-1
  • Delafontaine, M., Neutens, T., and van de Weghe, N., 2011. Modelling potential movement in constrained travel environments using rough space-time prisms. International Journal of Geographical Information Science, 25, 1389–1411. doi:10.1080/13658816.2010.518571
  • Dijst, M., 1995. Het elliptisch leven. Dissertation (PhD). KNAG, Utrecht.
  • Doisy, M., 2000. A coupling technique for stochastic comparison of functions of Markov Processes. Journal of Applied Mathematics and Decision Sciences, 4 (1), 39–64. doi:10.1155/S1173912600000031
  • Downs, J.A. and Horner, M.W., 2012. Probabilistic potential path trees for visualizing and analyzing vehicle tracking data. Journal of Transport Geography, 23, 72–80. doi:10.1016/j.jtrangeo.2012.03.017
  • Fang, Z., et al., 2011. A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities. Journal of Transport Geography, 19, 623–634. doi:10.1016/j.jtrangeo.2010.06.019
  • Farber, S., et al., 2014. Social interaction potential and the spatial distribution of face-to-face social interactions. Environment and Planning B.
  • Fujii, S., Kitamura, R., and Monma, T., 1998. A utility-based micro-simulation model system of individuals’ activity-travel patterns. In: Proceedings of the 77th annual meeting of the transportation research board, 11–15 January, Washington, DC.
  • Hofstad, R.V.D., 2013. Random graphs and complex networks. Lecture notes. Eindhoven University of Technology, 30–33.
  • Kang, H. and Scott, D.M., 2008. An integrated spatio-temporal GIS toolkit for exploring intra-household interactions. Transportation, 35, 253–268. doi:10.1007/s11116-007-9146-4
  • Kim, H.-M. and Kwan, M.-P., 2003. Space-time accessibility measures: a geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration. Journal of Geographical Systems, 5, 71–91. doi:10.1007/s101090300104
  • Kwan, M.P., 1997. GISICAS: an activity-based travel decision support system using a GIS-interfaced computational-process model. In: D.F. Ettema and H.J.P. Timmermans, eds. Activity-based approaches to activity analysis. Oxford: Pergamon Press, 263–282.
  • Kwan, M.P., 1998. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework. Geographical Analysis, 30, 191–216. doi:10.1111/j.1538-4632.1998.tb00396.x
  • Kwan, M.P., Dijst, M., and Schwanen, T., 2007. The interactions between ICT and human activity-travel behavior. Transportation Research A, 41, 121–124.
  • Kwan, M.P. and Hong, X.D., 1998. Network-based constraints-oriented choice set formation using GIS. Geographical Systems, 5, 139–162.
  • Lenntorp, B., 1976. Paths in space-time environment: a time geographic study of possibilities of individuals. The Royal University of Lund, Department of Geography. Lund Studies in Geography, Series B. Human Geography No. 44.
  • Liao, F., Arentze, T.A., and Timmermans, H.J.P., 2010. Supernetwork approach for multi-modal and multi-activity travel planning. Transportation Research Record: Journal of the Transportation Research Board, 2175, 38–46. doi:10.3141/2175-05
  • Liao, F., Arentze, T.A., and Timmermans, H.J.P., 2011. Constructing personalized transportation networks in multi-state supernetworks: a heuristic approach. International Journal of Geographical Information Science , 25 (11), 1885–1903. doi:10.1080/13658816.2011.556119
  • Liao, F., Arentze, T.A., and Timmermans, H.J.P., 2012. A supernetwork approach for modeling traveler response to park-and-ride. Transportation Research Record: Journal of the Transportation Research Board , 2323, 10–17. doi:10.3141/2323-02
  • Liao, F., Arentze, T.A., and Timmermans, H.J.P., 2013a. Multi-state supernetwork framework for the two-person joint travel problem. Transportation, 40, 813–826. doi:10.1007/s11116-013-9466-5
  • Liao, F., Arentze, T.A., and Timmermans, H.J.P., 2013b. Incorporating space-time constraints and activity-travel time profiles in a multi-state supernetwork approach to individual activity-travel scheduling. Transportation Research Part B: Methodological, 55, 41–58. doi:10.1016/j.trb.2013.05.002
  • Miller, H.J., 1999. Measuring space-time accessibility benefits within transportation networks: basic theory and computational procedures. Geographical Analysis, 31, 187–212. doi:10.1111/j.1538-4632.1999.tb00976.x
  • Miller, H.J., 2005. A measurement theory for time geography. Geographical Analysis, 37, 17–45. doi:10.1111/j.1538-4632.2005.00575.x
  • Miller, H.J. and Bridwell, S.A., 2009. A field-based theory for time geography. Annals of the Association of American Geographers, 99, 49–75. doi:10.1080/00045600802471049
  • Miller-Hooks, E. and Mahmassani, H., 2003. Path comparisons for a priori and time-adaptive decisions in stochastic, time-varying networks. European Journal of Operations Research, 146 (1), 67–82.
  • Nagurney, A., Dong, J., and Mokhtarian, P.L., 2003. A space-time network for telecommuting versus commuting decision-making. Papers in Regional Science , 82 (4), 451–473. doi:10.1007/s10110-003-0119-5
  • Neutens, T., et al., 2007. Human interaction spaces under uncertainty. Transportation Research Record, 2021, 28–35. doi:10.3141/2021-04
  • Neutens, T., et al., 2008. My space or your space? Towards a measure of joint accessibility. Computers Environment and Urban Systems, 32, 331–342. doi:10.1016/j.compenvurbsys.2008.06.001
  • Nie, Y. and Wu, X., 2009. Shortest path problem considering on-time arrival probability. Transportation Research Part B-Methodological, 43 (6), 597–613.
  • Rasouli, S. and Timmermans, H.J.P., 2012. Uncertainty, uncertainty, uncertainty: revisiting the study of dynamic complex spatial systems. Environment and Planning A, 44, 1781–1784. doi:10.1068/a45212
  • Rasouli, S. and Timmermans, H.J.P., 2014. Uncertain travel times and activity schedules under conditions of space-time constraints and invariant choice heuristics. Environment and Planning B.
  • Robert, C.P. and Casella, G., 2004. Monte Carlo statistical methods. 2nd ed. Berlin: Springer.
  • Schwanen, T. and Kwan, M.P., 2008. The internet, mobile phone and space–time constraints. Geoforum, 39, 1362–1377. doi:10.1016/j.geoforum.2007.11.005
  • Scott, D.M. and He, S.Y., 2012. Modeling constrained destination choice for shopping: a GIS-based, time geographic approach. Journal of Transport Geography, 23, 60–71. doi:10.1016/j.jtrangeo.2012.03.021
  • Sen, S., et al., 2001. A mean-variance model for route guidance in advanced traveler information systems. Transportation Science, 35, 37–49. doi:10.1287/trsc.35.1.37.10141
  • Shaw, S.L. and Yu, H.B., 2009. A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space. Journal of Transport Geography, 17, 141–149. doi:10.1016/j.jtrangeo.2008.11.012
  • Sheffi, Y., 1985. Urban transportation networks equilibrium analysis with mathematical programming methods. Englewood Cliffs, NJ: Prentice-Hall.
  • Soo, J.K.L., Ettema, D.F., and Ottens, H.F.L., 2009. Towards a multi-activity multi-person accessibility measure. In: R. Kitamura, ed. The expanding sphere of travel behavior research. Bingly: Emerald, 745–768.
  • Weber, J. and Kwan, M.P., 2002. Bringing time back in: a study on the influence of travel time variations and facility opening hours on individual accessibility. The Professional Geographer, 54, 226–240. doi:10.1111/0033-0124.00328
  • Wu, Y.H. and Miller, H.J., 2001. Computational tools for measuring space-time accessibility within transportation networks with dynamic flow. Journal of Transportation and Statistics, 4, 1–14.
  • Yin, L., Shaw, S.-L., and Yu, H., 2011. Potential effects of ICT on face-to-face meeting opportunities: a GIS based time-geographic approach. Journal of Transport Geography, 19, 422–433. doi:10.1016/j.jtrangeo.2010.09.007
  • Yoon, S., et al., 2012. Feasibility of using time-space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments. Transportation, 39, 807–823. doi:10.1007/s11116-012-9407-8

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