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Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for the future emergency decision-making research.

In this paper, we have chosen three primary indicators and twelve secondary indicators to construct an assessment framework for the determination of suitable locations for storing emergency material reserves. By mean of the improved entropy weight-order relationship weight determination method, the evaluation model of kullback leibler-technique for order preference by similarity to an ideal solution (KL-TOPSIS) emergency material reserve location based on relative entropy is established. On this basis, 10 regional storage sites in Beijing are selected for evaluation.

The results show that the evaluation model of the location of emergency material reserve not only respects the objective knowledge, but also considers the subjective information of the experts, which makes the ranking result of the location of the emergency material reserve more accurate and reliable.

Firstly, the modification factor is added to the calculation formula of traditional entropy weight method to complete the improvement of entropy weight method. Secondly, the order relation analysis method is used to assign subjective weights to the indicators. The principle of minimum information entropy is introduced to determine the comprehensive weight of the index. Finally, KL distance and TOPSIS method are combined to determine the relative entropy and proximity degree of alternative solutions and positive and negative ideal solutions, and the scientific and effective of the method is proved by case study.

In situations where the crew is reduced, the optimization of crew task allocation and sequencing (CTAS) can significantly enhance the operational efficiency of the man-machine system by rationally distributing workload and minimizing task completion time. Existing related studies exhibit a limited consideration of workload distribution and involve the violation of precedence constraints in the solution process. This study proposes a CTAS method to address these issues.

The method defines visual, auditory, cognitive and psychomotor (VACP) load balancing objectives and integrates them with workload balancing and minimum task completion time to ensure equitable workload distribution and task execution efficiency, and then a multi-objective optimization model for CTAS is constructed. Subsequently, it designs a population initialization strategy and a repair mechanism to maintain sequence feasibility, and utilizes them to improve the non-dominated sorting genetic algorithm III (NSGA-III) for solving the CTAS model.

The CTAS method is validated through a numerical example involving a mission with a specific type of armored vehicle. The results demonstrate that the method achieves equitable workload distribution by integrating VACP load balancing and workload balancing. Moreover, the improved NSGA-III maintains sequence feasibility and thus reduces computation time.

The study can achieve equitable workload distribution and enhance the search efficiency of the optimal CTAS scheme. It provides a novel perspective for task planners in objective determination and solution methodologies for CTAS.

This article introduces the “YouWalk-YouReclaim” mobile application as a transformative tool aimed at co-assessing and enhancing campus environments in a post-pandemic context. It seeks to address the need for inclusive, dynamic and technology-driven spaces within university settings.

The study employs a comprehensive assessment framework through a case study at Northumbria University, Newcastle. It involves over 100 students from diverse fields who utilised the application to evaluate significant areas on campus, such as Student Central, Northumberland Road and the Northumbria Library. The methodology places emphasis on direct user engagement and the use of the application’s inbuilt-image library and visual documentation features.

The application effectively evaluated the functionality, spatial dynamics and user experiences across various campus spaces. Key findings include the importance of adaptability, personalised spaces and enhanced wayfinding to meet the evolving needs of the university community. The study also noted the potential of the app to facilitate multidimensional assessments and support user-centric improvements.

The findings suggest that institutions can leverage technology like the “YouWalk-YouReclaim” app to better understand and optimise their campus spaces, fostering more responsive, user-focused and sustainable environments. The study advocates continuous technological enhancements and user-centred assessments to cultivate efficient and enriching campus experiences.

This study is novel in its integration of digital technology with user-centred approaches to assess and enhance campus environments. By enabling real-time feedback and inclusive participation, “YouWalk-YouReclaim” exemplifies an innovative approach to campus space management.