scholarly journals A joint choice decision model of intra-household interaction-based motorcycle mode and departure time in Yogyakarta, Indonesia

Author(s):  
Muhammad Zudhy Irawan
Author(s):  
Junjie Zhang ◽  
Yunpeng Wang ◽  
Guangquan Lu ◽  
Miaomiao Liu

An extension of a recent framework for analyzing scheduling disutility with perception errors is derived. In such framework, the traveler has [Formula: see text] scheduling preferences. Although the actual travel time of travelers is influenced by departure time, travelers make a route-choice decision on the basis of their perceived travel time. Thus, we mainly investigate the effects of perception errors on the optimal departure time. The optimal departure time and expected disutility are obtained on the basis of the proposed scheduling disutility model with perception errors. The inverse function curve of a standardized normal distribution is introduced to geometrically analyze the positive correlation between perception errors and optimal departure time. Our empirical example further illustrates that departure time as an endogenous variable affects the expectation and variance of perceived travel time and implies that perception errors are related to departure time. The linear relationship between the mean and variance of perceived travel time and the departure time is analyzed through an empirical illustration. The expected optimal disutility and departure time are derived, provided that the mean and variance of perception errors and departure time satisfy linear dependence. Finally, the results of the analysis of scheduling services with standardized normal distributions agree with the theoretical results and linear assumption in this study.


2008 ◽  
Vol 20 (4) ◽  
pp. 873-922 ◽  
Author(s):  
Roger Ratcliff ◽  
Gail McKoon

The diffusion decision model allows detailed explanations of behavior in two-choice discrimination tasks. In this article, the model is reviewed to show how it translates behavioral data—accuracy, mean response times, and response time distributions—into components of cognitive processing. Three experiments are used to illustrate experimental manipulations of three components: stimulus difficulty affects the quality of information on which a decision is based; instructions emphasizing either speed or accuracy affect the criterial amounts of information that a subject requires before initiating a response; and the relative proportions of the two stimuli affect biases in drift rate and starting point. The experiments also illustrate the strong constraints that ensure the model is empirically testable and potentially falsifiable. The broad range of applications of the model is also reviewed, including research in the domains of aging and neurophysiology.


1974 ◽  
Author(s):  
Graham J. Burkheimer ◽  
William E. Stein ◽  
Amnon Rapoport
Keyword(s):  

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