## 5 Research Questions
### Construction Sector
The method proposed by [PERSON] & [PERSON] [62] gained significant traction in the scientific community. Specifically, from the analysis of citations, it was observed that the main scientific fields utilizing this article include engineering with 323 citations, computer science with 184 citations, business management with 83 citations, and mathematical models with 77 citations. To a lesser extent, the work of [PERSON] & [PERSON] [62] is used in other scientific disciplines as well. The annual analysis of citations showed that the article follows a polynomial model in terms of the number of citations (Figure 14). Finally, there are also authors who have referenced this article in their studies and rely on it to support their future research. Among these, the most notable are [PERSON] with twenty-seven citations, [PERSON] with fourteen citations, [PERSON] with twelve citations, [PERSON] with eleven citations, and [PERSON] & [PERSON], each with eight citations. Furthermore, there are 115 other authors with fewer than five citations regarding the same article. [PERSON] and colleagues [62], with 320 citations, propose a trapezoidal fuzzy AHP method for workplace safety in environments with extreme heat or cold. They emphasize that a large portion of industry employs personnel working in hot and cold environments. Additionally, they highlight the fact that temperature variations reduce productivity and create safety issues in workplaces. Prior to applying the fuzzy Analytic Hierarchy Process (AHP), the framework for safety evaluation is defined by setting three key factors: work, environment, and workers. The authors argue that combining fuzzy AHP with trapezoidal fuzzy numbers produces results that are more logical and comprehensive for workplace environments compared to older methods. The proposed methodology for evaluating workplace safety and providing early warnings in hot and humid environments develops a system in which the degree of system safety helps in providing timely warnings, which can be strong tools for business managers and researchers. The value of their research is significant and especially beneficial for certain sectors. Specifically, from the analysis of the citations, it was observed that the main scientific fields utilizing this article include engineering with 169 citations, computer science with 112 citations, social sciences with 67 citations, environmental sciences with 66 citations, mathematical models with 54 citations, and business management articles with 39 citations. The article is also used to a lesser extent in other scientific fields. The annual analysis of citations showed that the article follows an exponential trend in the number of citations (Figure 15). Lastly, some authors rely on this research to support their future studies. These include [PERSON] with seventeen citations, [PERSON]. Figure 14: Distribution of citations for the article by [PERSON] over the years. [PERSON] with eleven citations, and [PERSON] and [PERSON], each with seven citations. Additionally, there are 123 other authors with fewer than five citations on the same article. [PERSON] and colleagues [260], with 319 citations, focus on road transportation safety. They record the overall state of road safety, how it can be improved, and under what conditions drivers and passengers are likely to suffer severe injuries in an accident, or even fatalities. They use a series of neural networks to model the level of injury severity and the factors that may cause crashes. The proposed models are sensitivity-trained neural networks using a set of binary prediction models. Furthermore, their sample consists of 30,358 police-reported accidents. They claim that such a large database helps to validate previous findings from other studies and provides new insights into the changing levels of injury severity. As a result, they developed eight neural network models with different levels of injury severity. The human factors influencing road accidents include seat belt usage, alcohol or drug consumption, age, and gender.