Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO2 emissions and hazardous risks

Contemporary vehicle routing requires ubiquitous computing and massive data in order to deal with the three aspects of transportation such as operations, planning and safety. Out of the three aspects, safety is the most vital and this study refers safety as the reduction of CO2 emissions and hazardous risks. Hence, this paper presents a data driven multi-objective differential evolution (MODE) algorithm to solve the safe capacitated vehicle routing problems (CVRP) by minimizing the greenhouse gas emissions and hazardous risk. The proposed data driven MODE is tested using benchmark instances associated with real time data which have predefined load for each of the vehicle travelling on a specific route and the total capacity summed up from the customers cannot exceed the stated load. Pareto fronts are generated as the solution to this multi-objective problem. Computational results proved the viability of the data driven MODE algorithm to solve the multi-objective safe CVRP with a certain trade-off to achieve an efficient solution. Overall the study suggests 5% increment in cost function is essential to reduce the risk factors. The major contributions of this paper are to develop a multi-objective model for a safe vehicle routing and propose a multi-objective differential evolution (MODE) algorithm that can handle structured and unstructured data to solve the safe capacitated vehicle routing problem

Opinion diversity and community formation in adaptive networks

It is interesting and of significant importance to investigate how network structures co-evolve with opinions. The existing models of such co-evolution typically lead to the final states where network nodes either reach a global consensus or break into separated communities, each of which holding its own community consensus. Such results, however, can hardly explain the richness of real-life observations that opinions are always diversified with no global or even community consensus, and people seldom, if not never, totally cut off themselves from dissenters. In this article, we show that, a simple model integrating consensus formation, link rewiring and opinion change allows complex system dynamics to emerge, driving the system into a dynamic equilibrium with co-existence of diversified opinions. Specifically, similar opinion holders may form into communities yet with no strict community consensus; and rather than being separated into disconnected communities, different communities remain to be interconnected by non-trivial proportion of inter-community links. More importantly, we show that the complex dynamics may lead to different numbers of communities at steady state with a given tolerance between different opinion holders. We construct a framework for theoretically analyzing the co-evolution process. Theoretical analysis and extensive simulation results reveal some useful insights into the complex co-evolution process, including the formation of dynamic equilibrium, the phase transition between different steady states with different numbers of communities, and the dynamics between opinion distribution and network modularity, etc.Comment: 12 pages, 8 figures, Journa

The cost of work-related stress to society: a systematic review

Objective. A global and systematic review of the available evidence examining the cost of work-related stress would yield important insights into the magnitude and nature of this social phenomenon. The objective of this systematic review was to collate, extract, review, and synthesize economic evaluations of the cost of work-related stress to society. Method. A research protocol was developed outlining the search strategy. Included cost-of-illness (COI) studies estimated the cost of work-related stress at a societal level, and were published in English, French or German. Searches were carried out in ingenta connect, EBSCO, JSTOR, Science Direct, Web of Knowledge, Google and Google scholar. Included studies were assessed against ten COI quality assessment criteria. Results. Fifteen COI studies met the inclusion criteria and were reviewed. These originated from Australia, Canada, Denmark, France, Sweden, Switzerland, the United Kingdom, the United States, and the EU-15. At a national and pan-European level, the total estimated cost of work-related stress in 2014 was observed to be considerable and ranged substantially from US $221.13 million to$187 billion. Productivity related losses were observed to proportionally contribute the majority of the total cost of work-related stress (between 70 to 90%), with healthcare and medical costs constituting the remaining 10% to 30%. Conclusion. The evidence reviewed here suggests a sizeable financial burden imposed by work-related stress on society. The observed range of cost estimates across studies was understood to be attributable to variations in definitions of work-related stress; the number and type of costs estimated; and, in how production loss was estimated. It is postulated that the cost estimates identified by this review are likely conservative due to narrow definitions of work - related stress (WRS) and the exclusion of diverse range of cost components

Affine arithmetic-based methodology for energy hub operation-scheduling in the presence of data uncertainty

In this study, the role of self-validated computing for solving the energy hub-scheduling problem in the presence of multiple and heterogeneous sources of data uncertainties is explored and a new solution paradigm based on affine arithmetic is conceptualised. The benefits deriving from the application of this methodology are analysed in details, and several numerical results are presented and discussed

Emergency department based intervention with adolescent substance users: 10 year economic and health outcomes

BACKGROUND: Alcohol and other drug (AOD) use are significant cause of disease burden and costs among adolescents. METHODS: We conducted a randomized trial in hospital emergency departments (ED) following an AOD-related presentation, comparing usual care with brief advice and referral to link adolescents aged 12-19 years with external AOD services. Subsequently, we used health data linkage to assemble data on mortality, hospital admissions, ED attendances, out-patient mental health and use of opiate pharmacotherapies in the next 10 years. From these, treatment costs and rates of events were estimated and compared using generalized linear models. RESULTS: Those who received the intervention had lower costs ($22 versus$227: z=3.16, p=0.002) and rates (0.03 versus 0.25: z=2.57, p=0.010) of ED mental health AOD presentations. However, the intervention did not significantly reduce overall mean health costs per patient (intervention $58746 versus control$64833, p=0.800). Similarly, there was no significant difference in the costs associated with hospitalizations ($48920 versus$50911 p=0.924), overall ED presentations ($4266 versus$4150, p=0.916), out-patient mental health services ($4494 versus$7717, p=0.282), or opiate pharmacotherapies ($1013 versus$2054, p=0.209). Injecting drug use was a significant baseline predictor of subsequent costs in the cohort (z=2.64, p=0.008). CONCLUSIONS: An ED delivered intervention may reduce direct ED costs and subsequent ED AOD attendances. There was also some indication that overall costs may be impacted, with economically large but non-significant differences between the groups. The high costs and morbidity incurred by some of this cohort illustrate the importance of targeting high-risk adolescents