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ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2025,12,2]]},"abstract":"<jats:p>With the rise of smart cities and digital tourism, understanding tourist movement is essential for enhancing personalized experiences and informing business decisions. Traditional methods struggle to integrate multi-source data and interpret complex behaviors, while large language models (LLMs) offer untapped potential. This study proposes an LLM-driven \u201cPerception-Modeling-Generation\u201d framework, validated by a Kulangsu smart tourism case. First, a five-stage spatiotemporal-semantic alignment pipeline integrates GPS, social media, POI, and weather data. Second, to address LLM limitations, we introduce a knowledge-enhanced framework combining geospatially-aware LoRA fine-tuning and a hierarchical Retrieval-Augmented Generation (RAG) mechanism. This approach reduces hallucinations by 15% and boosts geographic reasoning accuracy, achieving state-of-the-art intent recognition (15% gain) and landmark identification (72% accuracy). Third, we design a reprogramming strategy with geo-semantic constraints for generating spatially plausible, personalized trajectories in data-scarce settings, showing 89% similarity to real-world data. Supported by the Kulangsu Smart Tourism System, our method provides a scalable paradigm for spatiotemporal modeling and synthetic trajectory generation, benefiting personalized services and decision-making.<\/jats:p>","DOI":"10.1145\/3770697","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T19:42:32Z","timestamp":1764704552000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["TourismMinds: A Geo-augmented LLM Framework for Semantic-aware Trajectory Analytics and Generation"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3724-9972","authenticated-orcid":false,"given":"Zhuohan","family":"Ye","sequence":"first","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9045-7257","authenticated-orcid":false,"given":"Xiaolin","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4042-024X","authenticated-orcid":false,"given":"Ding","family":"He","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5713-4321","authenticated-orcid":false,"given":"Zijing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0077-4830","authenticated-orcid":false,"given":"Yilu","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8682-797X","authenticated-orcid":false,"given":"Junxiang","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6705-4935","authenticated-orcid":false,"given":"Xiuhuai","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8089-4111","authenticated-orcid":false,"given":"Jiaru","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6762-6865","authenticated-orcid":false,"given":"Rongbao","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6008-870X","authenticated-orcid":false,"given":"Yongcheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6747-8549","authenticated-orcid":false,"given":"Yuan","family":"Li","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4554-6782","authenticated-orcid":false,"given":"Longbiao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Xiamen University, Xiamen, China"}]}],"member":"320","published-online":{"date-parts":[[2025,12,2]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. 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