## 2 Literature Review  
### Evaluation Methods for Age-Friendliness in Tourist Attractions  
Currently, research on the evaluation of age-friendly adaptations in tourist attractions primarily concentrates on the analysis of the key factors influencing these adaptations and the assessment of the construction status and effects of age-friendly service facilities based on these factors. Based on survey data, some scholars have studied the evaluation criteria for age-friendly adaptations in tourist attractions. [PERSON]'s research found that elderly satisfaction with a destination is associated not only with the diversity of natural and cultural resources but also with the availability of accessible service facilities and the quality of elderly tourism operations and management [5]. [PERSON] et al. examined the factors influencing elderly-friendly tourist destinations, including safety and cleanliness, leisure facilities, and accessible public transportation [6]. [PERSON] et al. identified that elderly-friendly tourist destinations must provide accessible public transport facilities, barrier-free accommodation, and accommodations specifically designed for the elderly [7]. [PERSON] et al. proposed that accessibility represents an important indicator of the age-friendliness of urban park green spaces [8]. [PERSON] et al. examined the correlation between the frequency of use of elderly leisure service facilities and leisure satisfaction [9]. From the results of the above study,it can be seen that there is a strong relationship between the aging situation of tourist attractions and whether the adequacy of service facilities can meet the needs of the elderly. In the evaluation of age-friendliness in tourist attractions, scholars have utilized methods including surveys and field observations for data collection and applied techniques such as Importance-Performance Analysis (IPA) and ArcGIS software for evaluation. [PERSON] et al. employed IPA to assess the satisfaction of elderly visitors in parks [10]. [PERSON] et al. employed IPA and paired sample t-tests to assess elderly satisfaction with tourist destinations [6]. [PERSON] et al., based on data from statistical yearbooks and empirical surveys, employed Python 3.7 scripting for ArcGIS to evaluate the suitability of 75 parks in downtown Shanghai for the elderly [11] and quantitatively assessed the suitability of visual landscapes for the elderly in various leisure spaces of these parks [12]. Moreover, existing research on automated or sensor-based evaluation in tourist attractions has primarily focused on areas such as air quality monitoring, water quality monitoring, visitor flow monitoring, and safety surveillance, with no identified studies specifically addressing age-friendly facility assessment. For instance, [PERSON] et al. utilized temperature, humidity, infrared, ultrasonic sensors, and cameras to monitor air quality, water quality, and meteorological conditions in rural tourism areas [14]. [PERSON] et al. developed an online water quality monitoring and management system integrating chemical oxygen demand (COD) sensors with artificial neural networks and virtual instrumentation technology, providing an effective water quality control method for scenic areas [15]. Another study by [PERSON] et al. proposed a pedestrian flow monitoring approach based on the received signal strength (RSS) in wireless sensor networks, enabling real-time, high-precision crowd monitoring in public spaces such as tourist attractions [16]. Additionally, [PERSON] et al. employed sensors for geotechnical slope stability monitoring in parks [17]. In summary, existing research on evaluating age-friendly adaptations in tourist attractions primarily focuses on developing assessment indicators and frameworks. Current data collection methods predominantly rely on surveys, field observations, and unstructured interviews, all of which are labor-intensive and time-consuming, resulting in low efficiency.