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Overbooking has been studied intensively. However, those studies have paid little attention to the effect of penalty cost and degree of airlines' risk aversion on the decision-making. A cost model like a newsboy model is presented for optimal overbooking level of air cargo with stochastic capacity and penalty cost. Then the overbooking model of air cargo was proposed under the Conditional value-at-risk (CVaR) framework. The analytical results show the optimal overbooking level is monotonically decreasing about penalty cost regardless of the airfreight carriers' risk preferences. In contrast, the optimal overbooking level of risk-averse airfreight carriers depends on demand distribution and the degree of risk aversion, which may not be less than that of risk-neutral airfreight carriers.

A growing number of information technology systems and services have occurred to change users' attitudes or behaviors or both in the rapid development of mobile social media platforms. It is a new topic in the field of health communication whether the digitization and socialization of individual exercise behavior can stimulate health behavior. WeRun is a typical platform for the digitization and socialization of individual exercise. Based on 689 WeRun users' questionnaires, this study first repairs the missing and abnormal data by BP neural network. Then, the decision tree is used to evaluate the relationship between the perceived social support and exercise behavior under different intervention conditions, and detects the heterogeneous intervention effects for different pre-intervention profiles. In addition, this study further discusses the performances of social support features of persuasion technology in the WeRun. The data-driven method used in this study is beneficial to reducing self-selection bias and evaluate the intervention effect. The decision tree does not require decision-makers to have much expertise or to make parameter hypotheses while evaluating the intervention effect, and the results are more direct and intelligible. The results show that the decision tree can detect the heterogeneous intervention effect. In some cases, there is not a perfectly positive correlation between the degree of perceived social support and the number of average daily steps, and the relationship with friends has a great impact on the user's perceived social support. In addition, it also reveals the relationship between social comparison and perceived social support, and their interaction on exercise behavior. Finally, this study provides practical suggestions for the design and operation of e-health social network platform. The platforms are supposed to take corresponding persuasive strategies according to the various characteristics of users, so as to improve the continuous attention and participation of users.

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