Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory, and conjunctive non-compensatory specifications (2009)
Authors
Abstract
This paper presents the main findings of an application of several models to predict the go-home decision of pedestrians in shopping streets. Two compensatory multinomial logit models, one with a linear utility function of time and the other with a nonlinear utility function of time, and a non-compensatory conjunctive model are specified. Data about pedestrian behaviour in a major shopping street in Beijing served as input for model estimation. The conjunctive model performs best, suggesting that pedestrians use simplifying heuristics to decide when to end the shopping trip and go home. In addition, the nonlinear multinomial logit model outperforms the linear model, indicating that marginal utility of time decreases with increasing time. © 2008 Elsevier Ltd. All rights reserved.
Bibliographic entry
Zhu, W., & Timmermans, H. (2009). Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory, and conjunctive non-compensatory specifications. Journal of Retailing and Consumer Services, 16, 227-231. doi:10.1016/j.jretconser.2008.11.017 (Full text)
Miscellaneous
| Publication year | 2009 | |
|---|---|---|
| Document type: | Article | |
| Publication status: | Published | |
| External URL: | http://dx.doi.org/10.1016/j.jretconser.2008.11.017 View | |
| Categories: | Expected UtilityConsumer Behavior | |
| Keywords: | conjunctive modelgo-home decisionmultinomial logit modelpedestrian behaviourshopping duration |