Assessment of stress level in urban area’s during COVID-19 outbreak using critic and topsis: A case of Indian cities

TOPSIS for Analyzing the Risk Factors of Suicidal Ideation Among University Students in Malaysia

Globally, suicide is a major public health issue. Suicide is the first or second reason for death among college and university students. The suicide rate among university students is relatively high in Malaysia. Numerous risk factors exacerbate suicidal ideation. Therefore, it is critical to gain as much insight as possible into the risk factors for suicidal ideation among university students and prioritize them based on the importance level. Therefore, students with a high risk for suicide can be identified, and earlier precautions can be taken to assist the students. In this paper, 18 determinants of suicidal ideation were discovered through the systematic literature review, and these factors were then ranked according to the seriousness using the TOPSIS method. The results showed that previous suicide attempts, mental disorders, and negative life events were the most influential factors leading to suicide. In contrast, gender and the residential area had the least impact. The result enables the government, relevant stakeholders, and policymakers to develop comprehensive multisectoral strategies that can prevent suicide effectively.

Micro-hub location selection for sustainable last-mile delivery

Sustainable Last-Mile Delivery (LMD) is one of the key phases in city logistics. Micro-hubs in cities are new emerging solutions for an easier and viable last-mile delivery process. The important question in smart and modern cities is the determination of the best micro-hub location for the LMD. This paper solves the micro-hub location selection for sustainable LMD using the multi-criteria decision-making (MCDM) techniques. The main reason for solving the micro-hub location selection is to make the last-mile delivery process in Pardubice as easier and effortless as possible. The Best-Worst Method (BWM), Criteria Importance Through Intercriteria Correlation (CRITIC) method, and Weighted Aggregated Sum Product Assessment (WASPAS) method are coupled to solve the micro-hub location selection for sustainable LMD. First, five criteria and alternatives are identified and discussed with the experts. Second, the hybrid criteria importance is determined by combining the BWM and CRITIC methods. Third, the obtained hybrid weights are integrated within the WASPAS method to rank the micro-hub locations. The findings of the Hybrid BWM-CRITIC-WASPAS model show the Alternative 2 („Hůrka“) as the best possible location for Pardubice in the context of the LMD. In addition, a comparative analysis with some of the existing MCDM approaches is conducted for the same problem and its results show a high level of matching with the applied hybrid BWM-CRITIC-WASPAS method, which means that Alternative 2 („Hůrka“) is strongly recommended as a micro-hub location for sustainable LMD in Pardubice.