Planning regulated occupational safety and health (OSH) inspections is dependent on the prioritization scheme followed by inspection agencies. It is probable that the methods used by OSH inspectorates for decision making on inspection priorities is not efficient enough to cover all the hazardous firms which is evident in less than expected reduction in injury rates in many countries. The objective of the current research is to present a prioritization model based on four criteria comprising thirteen subcriteria using an integrated Delphi, AHP and Double-Hierarchical TOPSIS (DH-TOPSIS) approach. The decision main and subcriteria as well as their pairwise comparisons were decided by a group of experts through a Delphi methodology. In addition, the weights of the main and subcriteria were determined using AHP method. Unlike the commonly applied TOPSIS method which uses subcriteria global weights in a single calculation process, the DH-TOPSIS method uses the local weights of the subcriteria to calculate the priority index of the alternatives (firms) with respect to the main criteria in a first TOPSIS calculation cycle. The resulting priority index is used as the evaluation scores of the firms in a second TOPSIS calculation cycle to prioritize firms for subsequent inspections. The DH-TOPSIS performed better than the global weight, single TOPSIS (GWS-TOPSIS) method with respect to the probability that the best alternative has the shortest distance to the ideal solution. Furthermore, the proposed model has a stable prioritization performance without rank reversal. As such, it is dynamic in handling large number of alternatives making it appropriate for prioritization of firms for OSH inspections. This approach can be further integrated with an appropriate scheduling methodology to improve the effectiveness of OSH inspections

As the traffic and other environmental noise generating activities are growing in The Kingdom of Saudi Arabia (KSA), adverse health and other impacts are expected to develop. The management of such problem involves many actions, of which noise mapping has been proven to be a helpful approach. The objective of the current study was to test the adequacy of the available data in KSA municipalities for generating urban noise maps and to verify the applicability of available environmental noise mapping and noise annoyance models for KSA. Therefore, noise maps were produced for Al-Fayha District in Jeddah City, KSA using commercially available noise mapping software and applying the French national computation method “NMPB” for traffic noise. Most of the data required for traffic noise prediction and annoyance analysis were available, either in the Municipality GIS department or in other governmental authorities. The predicted noise levels during the three time periods, i.e., daytime, evening, and nighttime, were found higher than the maximum recommended levels established in KSA environmental noise standards. Annoyance analysis revealed that high percentages of the District inhabitants were highly annoyed, depending on the type of planning zone and period of interest. These results reflect the urgent need to consider environmental noise reduction in KSA national plans. The accuracy of the predicted noise levels and the availability of most of the necessary data should encourage further studies on the use of noise mapping as part of noise reduction plans.

Although marine fishing is one of the most hazardous occupations, research on the occupational safety and health (OSH) conditions aboard marine fishing vessels is scarce. For instance, little is known about the working conditions of vulnerable groups such as young and aging fishermen. The objective of the current paper is to study the OSH conditions of young and aging fishermen compared to middle-aged fishermen in the small- and medium-size (SM) marine fishing sector. A cross-sectional study was designed, and 686 fishermen working aboard SM fishing vessels were interviewed to collect information about their safety and health. The associations of physical and psychosocial work conditions with safety and health outcomes, e.g., injuries, illnesses and job satisfaction, are presented. The results of the current study can be utilized in the design of effective accident prevention and OSH training programs for the three age groups and in the regulation of working conditions aboard fishing vessels.