id |
ddss2008-03 |
authors |
Zhu, Wei and Harry Timmermans |
year |
2008 |
title |
Incorporating Principles of Bounded Rationality intoModels of Pedestrian Shopping BehaviorTheory and Example |
source |
H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD |
summary |
The modeling and simulation of pedestrian behavior has been dominantly relied on rational choice models in which pedestrians are assumed to be capable of processing a large number of choice alternatives and trade off attribute utilities. In reality, however, pedestrian behaivor shows the evidence of bounded rationality. They simplify the decision problem by considering a limited number of factors as well alternatives, using heuristics to arrive at satisfactory as opposed to optimal choices. Incorporating principles of bounded rationality in pedestrian modeling will benefit the understanding of individual decision processes and planning practice. This paper proposes an approach that models the cognitive processes such as filtering factors, constructing preference structures, deriving heterogeneous decision heuristics, and selecting decision strategies. The approach is also exemplified through estimating the model on pedestrian store patronage behavior data, collected in a shopping center in Shanghai, China. The results show the estimated probabilities of usage of decision strategies and the sequences of factor search. Compared with the conventional multinomial logit models, the results indicate the statistical advantages of the new approach. |
keywords |
Bounded rationality, decision heuristics, heterogeneity, pedestrian, store patronage decision |
series |
DDSS |
full text |
file.pdf (304,812 bytes) |
references |
Content-type: text/plain
|
Antonini, G., Bierlaire, M. (2007)
A Discrete Choice Framework for Acceleration and Direction Change Behaviors in Walking Pedestrians
, Pedestrian and Evacuation Dynamics 2005, Waldau N, Gattermann P, Knoflacher H, Schrechenberg M (Ed.), 155-166
|
|
|
|
Borgers, A., Timmermans, H. J. P. (1986)
A Model of Pedestrian Route Choice and Demand for Retail Facilities within Inner-city Shopping Areas
, Geographical Analysis, 18(2), 115-128
|
|
|
|
Gigerenzer, G., Todd, P. M., and ABC Research Group (1999)
Simple Heuristics that Make us Smart
, Oxford University Press, Oxford, New York
|
|
|
|
Payne, J. W., Bettman, J. R., Johnson E. J. (1988)
Adaptive Strategy Selection in Decision Making
, Journal of Experimental Psychology: Learning, Memory and Cognition, 14, 534-552
|
|
|
|
Saito, S., and Ishibashi, K. (1992)
A Markov Chain Model with Covariates to Forecast Consumer's Shopping Trip Chain within a Central Commercial District
, Presented at Fourth World Congress of Regional Science Association International, RSAI, Leeds, United Kingdom
|
|
|
|
Simon, H. A. (1959)
Theories of Decision-Making in Economics and Behavioral Science
, The American Economic Review, 49 (3), 253-283
|
|
|
|
last changed |
2008/09/01 17:06 |
|