AI 中文总结
该研究针对游客城市导航难题，推出PATH工具，基于游客频率与POI偏好的启发式规则计算最优路径，经维泰博案例验证，推荐路线获高度好评，可提升城市探索体验。
AI 中文摘要
在陌生城市中导航存在重大挑战，游客是更易遭遇此类问题的群体之一，尤其是在试图找到兴趣点（POI）时。语言障碍或缺乏准确信息等多种因素进一步加剧了这一问题，导致游客难以高效探索。为解决这些问题，我们推出工具“游客提示个性化助手”（PATH），该工具基于一种个性化游客路线估算方法。PATH在两种定制启发式规则——游客频率和POI偏好的引导下，计算前往指定地点的最优路径。这种整合实现了高效且个性化的导航，引导用户前往最符合其偏好的景点。我们通过在意大利维泰博开展的案例研究对该方法进行评估，使用的数据集包含265名不同时期到访该城市的游客的1000余条路线。为验证我们的方法，我们对238名新游客进行了测试，并收集了86名当地专家的评估意见。通过结构化问卷测量用户满意度，结果显示，与现有导航应用及文献中提出的方法相比，推荐路线的相关性和质量获得了高度积极的反馈。这些结果表明，PATH具备通过提供适应性强、以用户为中心的游客导航解决方案来提升城市探索体验的潜力。
英文摘要
Navigating an unfamiliar city poses significant challenges, and tourists are among the groups more likely to experience them, particularly when attempting to locate a point of interest (POI). Various factors, such as language barriers or a lack of precise information, further complicate this issue by making it difficult for visitors to explore efficiently. To address these issues, we introduce the tool "Personalized Assistant for Tourist Hints" (PATH), which is based on a methodology for estimating personalized tourist routes. PATH computes optimal paths to specified locations guided by two tailored heuristics: tourist frequency and POI preference. This integration enables efficient and personalized navigation, guiding users toward attractions that best match their preferences. We evaluated our methodology through a case study in Viterbo, Italy, using a dataset comprising over 1000 routes from 265 tourists who visited the city during different periods. To validate our approach, we tested it with 238 new tourists and collected expert assessments from 86 local specialists. User satisfaction was measured through a structured questionnaire, which revealed highly positive feedback regarding the relevance and quality of the recommended routes, also when compared with existing routing applications and approaches proposed in the literature. These results demonstrate PATH's potential to enhance urban exploration by providing an adaptable and user-centric solution for tourist navigation.
DOI：10.1016/j.eswa.2026.133333
