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Cut-off models for the 'go-home' decision of pedestrians in shopping streets.
- Source :
-
Environment & Planning B: Planning & Design . Mar2008, Vol. 35 Issue 2, p248-260. 13p. 4 Diagrams, 1 Chart, 1 Graph. - Publication Year :
- 2008
-
Abstract
- Many behavioral and nonbehavioral models have been proposed to model pedestrian behavior. Among these, pedestrians' decision processes have not been explicitly modeled. Utility-maximizing models have been prominently used, but these models may be misspecified owing to their unrealistic assumptions. As an alternative, this paper proposes cut-off models based on the satisficing heuristic founded in bounded rationality theory. The go-home decision of pedestrians in Wang Fujing Street, Beijing, is taken as an example. Results of a multinomial logit model and three cut-off models with increasing complexity are compared. The results show that the cut-off models can fit the data equally as well as the multinomial logit model, suggesting that satisficing heuristics not only have theoretical advantages but also statistical power, Introducing a decision engagement module before the satisficing decision module significantly improves the cut-off model and supports the hypothesis of a hierarchical decision process. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02658135
- Volume :
- 35
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Environment & Planning B: Planning & Design
- Publication Type :
- Academic Journal
- Accession number :
- 31869941
- Full Text :
- https://doi.org/10.1068/b3396