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This paper presents integrated models of probabilistic vehicle routing and scheduling model with time windows and dynamic traffic simulation. The probabilistic model incorporates the uncertainty of travel times. After applying the models to test road network, incorporating the uncertainty of travel times using the models not only allows freight carriers to reduce their total costs, but also improves the environment in terms of decreasing CO₂ emissions. As well, the paper investigated the effects and profitability of co-operative freight transport systems using a simulation model based on forecast vehicle routing and scheduling model. Results showed cooperative freight transport systems can lead to a substantial reduction in total delivery costs and total travel times within the whole road network.

Evaluating the prevention, intervention, and treatment programme is critical to understanding the decision-making behaviour of substance abusers. The study interweaves behavioural health economics with the extended PRECEDE–PROCEED Model and examines the effectiveness of treatment settings for substance users in New Jersey Drug and Alcohol Abuse Treatment (13,775 samples). The study also identifies the factors that are associated with substance users’ recurrence to the treatment centre. The results concluded that educational attainment, counselling services from health care providers, mental agency services, and detoxification treatments have a significant impact on preventing relapse behaviour.