## 1 Introduction  
With increases in population and the acceleration of the aging process, the number of disabled and elderly people has been gradually growing. Special housing for these individuals, such as nursing homes and care facilities, has also been on the rise. When emergencies occur, the inevitable mixed evacuation of differently-abled people and non-differently-abled people is a significant concern. Researching the efficiency of the mixed evacuation of differently-abled people and non-differently-abled people is crucial in reducing accident losses and preventing harm to individuals. The term \"differently-abled\" refers to people with limited mobility, including the disabled and the elderly. These vulnerable groups are more susceptible to harm during emergencies. Differently-abled people often have mobility or safety information processing impairments, resulting in slower evacuation speeds and longer emergency response times, making their evacuation situations more complex. Additionally, the presence of care providers and other individuals alongside differently-abled people can significantly affect the evacuation of the general public. Scholars worldwide have conducted extensive research on the characteristics of evacuations that involve differently-abled people. For instance, [PERSON] monitored the evacuation of elderly residents during an evacuation drill and recorded their movement speed [1]. [PERSON] conducted a series of simulations on the evacuation of disabled individuals in typical scenarios, concluding that delaying the evacuation of wheelchair-bound individuals, or allowing non-differently-abled people to use stairs while the wheelchair-bound individuals use elevators, can effectively reduce evacuation time [1; 2; 3; 4]. Studies by [PERSON] and [PERSON] have demonstrated that a combination of stair and elevator usage can significantly reduce evacuation time [5; 6]. [PERSON] conducted a study on the evacuation capability of elderly people living with joint disorders who required wheelchair assistance [7]. [PERSON] conducted a speed study on the stair-descending situations of 12 female and six male individuals aged 60-81, by requiring them to descend stairs at their normal and fastest speeds [8]. [PERSON] coupled evolutionary game models with pedestrian motion models to study the influence of collective assistance behavior on evacuation efficiency in emergency scenarios, concluding that a certain number of assistance actions can enhance evacuation efficiency [9]. In summary, in mixed evacuation scenarios involving both non-differently-abled and differently-abled people, assistance behavior can effectively improve evacuation efficiency; however, previous research primarily focused on the impact of differently-abled people on overall evacuation situations in environments largely occupied by the general public. There is a lack of research on evacuation scenarios in locations specifically designed for differently-abled people. This study establishes a model for differently-abled population residences, simulates the mixed evacuation of differently-abled and non-differently-abled populations, and considers the assistance provided by non-differently-abled populations to differently-abled populations as an important factor affecting evacuation efficiency. It analyzes optimal evacuation efficiency under different evacuation forms on each floor, and uses this analysis to determine the best mixed evacuation plan. This provides valuable insights for rescue personnel ratios and evacuation strategies in emergency evacuations for buildings that cater to differently-abled people, such as nursing homes and care facilities. The structure of the rest of this study is as follows: Section 2 introduces the current status of relevant research on personnel safety evacuation. Section 3 introduces the evacuation objects studied, evacuation methods used, evacuation models created, and the relevant parameter settings. Section 4 simulates evacuation under different evacuation methods based on the established model.