Exploring Pedestrian Shopping Decision Processes — an Application of Gene Expression Programming

W. Zhu () and H. Timmermans ()
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W. Zhu: Eindhoven University of Technology, Urban Planning Group, Vertigo 08.16
H. Timmermans: Eindhoven University of Technology, Urban Planning Group

A chapter in Pedestrian and Evacuation Dynamics 2005, 2007, pp 145-154 from Springer

Abstract: Abstract Random utility theory and discrete choice models have been widely used to explore mechanisms underlying pedestrian shopping behavior. However, these models tend to be mis-specified due to unrealistic assumption of utility maximising behavior. The bounded rationality theory may be more suitable for building models representing real shopping decision process, but existing statistical models are not able to extract information hidden in the decision process proposed by the theory. We therefore developed GEPAT, a computer program using Gene Expression Programming to solve this problem with its two most significant features. The first feature is that it has an extendable multigene-section chromosome structure which allows several inter-related target functions to be estimated simultaneously. The second feature is that it uses processors, representing mental operators, as building blocks to implement simple information processing and facilitate constructing and testing complex schemes of the problem by linking the processors properly. The overall workflow of GEPAT, its advantages, disadvantages and potentials are discussed.

Keywords: Gene Expression Programming; Mental Operator; Discrete Choice Model; Random Utility Model; Shopping Environment (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47064-9_13

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DOI: 10.1007/978-3-540-47064-9_13

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