Abstract
Considerable interest has been shown in models that predict the behaviour of travellers in pedestrian networks. The complexity of the pedestrian’s behaviour poses problems in investigation of these models; this complexity can be attributed to the inability of travellers to generate a choice set of destinations prior to their travel due to the lack of information regarding pedestrian networks. This study aims to model the manner in which travellers generate a choice set of destinations while walking. The following two principles are applied for constructing the model: the expected utility maximisation principle and the node-based searching principle. Using these principles, it is shown that travellers try to generate a choice set as soon as possible and stop searching when the effort in expanding the choice set does not pay off to obtain higher utility of the entire tour. Further, it is shown that the rule of stopping is identical to the optimal stopping problem. The solution methodology and characteristics of the model are shown. Then, the node-based searching principle and the stopping rule are tested against empirical data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arentze, T.A. and Timmermans, H.J.P. (2004). A learning-based transportation oriented simulation system. Transportation Research Part B, 38(7), 613-633.
Arentze, T.A., Oppewal, H. and Timmermans, H.J.P. (2005a). A multipurpose shopping trip model to assess retail agglomeration effects.Journal of Marketing Research, 42(1), 109-115.
Arentze, T.A. and Timmermans, H.J.P. (2005b). Information gain, novelty seeking and travel: a model of dynamic activity-travel behavior under conditions of uncertainty. Transportation Research Part A, 39, 125-145.
Asakura, Y. and Iryo, T. (2007). Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument. Transportation Research Part A, 41(7), 684-690.
Bernardo, J.M. and Smith, A.F.M. (2000). Bayesian Theory. Chichester: John Wiley & Sons Inc.
Bovy, P.H.L. and Stern, E. (1990). Route Choice: Wayfinding in Transport Networks. Dordrecht: Kluwer Academic Press.
Dellaert, B.G.C., Arentze, T.A., Bierlaire, M., Borgers, A.W.J. and Timmermans, J.P. (1998). Investigating consumers’ tendency to combine multiple shopping purposes and destinations. Journal of Marketing Research, 35, 177-188.
Hiller, B. and Hanson, J. (1984). The social logic of space, Cambridge: Cambridge University Press.
Miller, H.J. (1993). Modeling strategies for the spatial search problem. Regional Science, 72(1), 63-85.
Richardson, A. (1982). Search models and choice set generation. Transportation Research Part A, 16(5), 403-419.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag US
About this chapter
Cite this chapter
Iryo, T., Asakuraand, Y., Onishi, R., Samma, C. (2009). Modelling Dynamic Generation of a Choice Set in Pedestrian Networks. In: Lam, W., Wong, S., Lo, H. (eds) Transportation and Traffic Theory 2009: Golden Jubilee. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0820-9_26
Download citation
DOI: https://doi.org/10.1007/978-1-4419-0820-9_26
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-0819-3
Online ISBN: 978-1-4419-0820-9
eBook Packages: Business and EconomicsBusiness and Management (R0)