| id |
DDSS2006-HB-121 |
| authors |
Wei Zhu and Harry Timmermans |
| year |
2006 |
| title |
Exploring Heuristics Underlying Pedestrian Shopping Decision Processes - An application of gene expression programming |
| source |
Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 121-136 |
| summary |
Most analytical pedestrian behavior researches use utility-maximizing models and have paid less attention to models based on alternative behavioral theories such as bounded rationality. Consequently, there is a lack of deeper explorations into the decision processes of pedestrians. This lack of such alternative models may also be the result of inappropriate methods to estimate such models. For this reason, the paper first introduces a modeling platform GEPAT which has the ability to estimate parallel functions using a multi-gene-sectional chromosome structure and to facilitate building models using processors emulating simple decision mechanisms. The going-home decision of pedestrians in Wang Fujing Street is taken as an example to illustrate the use of GEPAT. The most important conclusion from a comparison of the MNL, hard cut-off, soft cut-off and hybrid model is that the satisficing heuristic fits better to the problem structure, at least in this case, than the utility-maximizing rule does. This example also shows the flexibility of GEPAT as a modeling toolbox and the power of estimating complex models. |
| keywords |
GEPAT, Decision process, Bounded rationality, Satisficing heuristic, Utility maximization, Model comparison |
| series |
DDSS |
| full text |
 file.pdf (301,332 bytes) |
| references |
Content-type: text/plain
|
Berry, B. J. L., B. J. Epstein, A. Ghosh, et al. (1988)
 Market Centers and Retail Location: Theory and Applications
, Prentice-Hall, London
|
|
|
|
|
Bettman, J. R. (1979)
An Information Processing Theory of Consumer Choice
, Addison-Wesley Publish Company, Reading
|
|
|
|
|
Borgers, A. and H. Timmermans (1985)
A Model of Pedestrian Route Choice and Demand for Retail Facilities within Inner-City Shopping Areas
, Geographical Analysis, 18(2): 115-128
|
|
|
|
|
Borgers, A., and H. J. P. Timmermans (1986)
City Centre Entry Points, Store Location Patterns and Pedestrian Route Choice Behavior: a Microlevel Simulation Model
, Socio-Economic Planning Science, 20(1): 25-31
|
|
|
|
|
Dijkstra, J. and H. Timmermans (2002)
Towards a Multi-agent Model for Visualizing Simulated User Behavior to Support the Assessment of Design Performance
, Automation in Construction, 11: 135-145
|
|
|
|
|
Ferreira, C. (2001)
Gene Expression Programming: A New Adaptive Algorithm for Solving Problems
, Complex Systems, 13(2): 87-129
|
|
|
|
|
Gigerenzer, G., P. M. Todd and ABC Research Group (1999)
Simple Heuristics that Make us Smart
, Oxford University Press, New York
|
|
|
|
|
Grether, D., and L. Wilde (1984)
An Analysis of Conjunctive Choice: Theory and Experiments
, Journal of Consumer Research,1984(10): 373-385
|
|
|
|
|
Hagishima, S., K. Mitsuyoshi, and S. Kurose (1987)
Estimation of Pedestrian Shopping Trips, in a Neighborhood by using a Spatial Interaction Model
, Environment and Planning A, 19(9): 1139-1152
|
|
|
|
|
Haklay, M., and D. Osullivan (2001)
So go downtown’: Simulating Pedestrian Movement in Town Centers
, Environment and Planning B,28(3): 343-359
|
|
|
|
|
Kerridge, J., J. Hine, and M. Wigan (2001)
Agent-Based Modeling of Pedestrian Movements: The Questions that Need to be Asked and Answered
, Environment and Planning B, 28(3): 327-341
|
|
|
|
|
Todd, P. M., and G. Gigerenzer (2003)
Bounding Rationality to the World
, Journal of Economic Psychology,24(2): 143-165
|
|
|
|
|
Todd, P. M. (1999)
Simple Inference Heuristics versus Complex Decision Machines
, Minds and Machines, 9(4): 461-477
|
|
|
|
| last changed |
2006/08/29 12:55 |
|
