{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T02:56:39Z","timestamp":1778554599500,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,3]]},"DOI":"10.1145\/3764925.3770909","type":"proceedings-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:01:51Z","timestamp":1764698511000},"page":"4-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1608-7213","authenticated-orcid":false,"given":"Mohammad","family":"Hashemi","sequence":"first","affiliation":[{"name":"Emory University, Atlanta, Georgia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7001-4123","authenticated-orcid":false,"given":"Andreas","family":"Z\u00fcfle","sequence":"additional","affiliation":[{"name":"Emory University, Atlanta, Georgia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,12,2]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Mohit Agarwal Mimi Sun Chaitanya Kamath Arbaaz Muslim Prithul Sarker Joydeep Paul Hector Yee Marcin Sieniek Kim Jablonski Yael Mayer et al. 2024. General Geospatial Inference with a Population Dynamics Foundation Model. arXiv preprint arXiv:2411.07207 (2024)."},{"key":"e_1_3_2_1_2_1","volume-title":"Space and place. Handbook of geographical knowledge 2011","author":"Agnew John","year":"2011","unstructured":"John Agnew. 2011. Space and place. Handbook of geographical knowledge 2011 (2011), 316--331."},{"key":"e_1_3_2_1_3_1","volume-title":"CIKM'24","author":"Balsebre Pasquale","year":"2024","unstructured":"Pasquale Balsebre, Weiming Huang, Gao Cong, and Yi Li. 2024. City foundation models for learning general purpose representations from openstreetmap. In CIKM'24. 87--97."},{"key":"e_1_3_2_1_4_1","volume-title":"Stcaplrs: A spatial-temporal context-aware personalized location recommendation system. ACM Transactions on Intelligent systems and technology (TIST) 7, 4","author":"Fang Quan","year":"2016","unstructured":"Quan Fang, Changsheng Xu, M Shamim Hossain, and Ghulam Muhammad 2016. Stcaplrs: A spatial-temporal context-aware personalized location recommendation system. ACM Transactions on Intelligent systems and technology (TIST) 7, 4 (2016), 1--30."},{"key":"e_1_3_2_1_5_1","volume-title":"Scalable Graph Condensation with Evolving Capabilities. arXiv preprint arXiv.2502.17614","author":"Gong Shengbo","year":"2025","unstructured":"Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, and Wei Jin. 2025. Scalable Graph Condensation with Evolving Capabilities. arXiv preprint arXiv.2502.17614 (2025)."},{"key":"e_1_3_2_1_6_1","volume-title":"Communities, neighborhoods, and health: Expanding the boundaries of place","author":"Goodchild Michael F","unstructured":"Michael F Goodchild. 2010. Formalizing place in geographic information systems. In Communities, neighborhoods, and health: Expanding the boundaries of place. Springer, 21--33."},{"key":"e_1_3_2_1_7_1","volume-title":"A comprehensive survey on graph reduction: Sparsiflcation, coarsening, and condensation. IJCAI","author":"Hashemi Mohammad","year":"2024","unstructured":"Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B Aditya Prakash, and Wei Jin. 2024. A comprehensive survey on graph reduction: Sparsiflcation, coarsening, and condensation. IJCAI (2024)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.11.021"},{"key":"e_1_3_2_1_9_1","volume-title":"Graph condensation for graph neural networks. arXiv preprint arXiv.2110.07580","author":"Jin Wei","year":"2021","unstructured":"Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, and Neil Shah. 2021. Graph condensation for graph neural networks. arXiv preprint arXiv.2110.07580 (2021)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","first-page":"2010510","DOI":"10.1080\/23311916.2021.2010510","article-title":"Traffic flow prediction models-A review of deep learning techniques","volume":"9","author":"Kashyap Anirudh Ameya","year":"2022","unstructured":"Anirudh Ameya Kashyap, Shravan Raviraj, Ananya Devarakonda, Shamanth R Nayak K, Santhosh KV, and Soumya J Bhat. 2022. Traffic flow prediction models-A review of deep learning techniques. Cogent Engineering 9, 1 (2022), 2010510.","journal-title":"Cogent Engineering"},{"key":"e_1_3_2_1_11_1","volume-title":"Spabert: a pretrained language model from geographic data for geo-entity representation. arXiv preprint arXiv.2210.12213","author":"Li Zekun","year":"2022","unstructured":"Zekun Li, Jina Kim, Yao-Yi Chiang, and Muhao Chen. 2022. Spabert: a pretrained language model from geographic data for geo-entity representation. arXiv preprint arXiv.2210.12213 (2022)."},{"key":"e_1_3_2_1_12_1","unstructured":"Yuxuan Liang Haomin Wen Yutong Xia Ming Jin Bin Yang Flora Salim et al. 2025. Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. arXiv preprint arXiv.2503.13502 (2025)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2022.100739"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2021.101651"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","first-page":"100163","DOI":"10.1016\/j.acags.2024.100163","article-title":"Machine learning technique in the north zagros earthquake prediction","volume":"22","author":"Ommi Sahna","year":"2024","unstructured":"Sahna Ommi and Mohammad Hashemi. 2024. Machine learning technique in the north zagros earthquake prediction. Applied Computing and Geosciences 22 (2024), 100163.","journal-title":"Applied Computing and Geosciences"},{"issue":"1","key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/s43762-022-00047-w","article-title":"Points of Interest (POI): A commentary on the state of the art, challenges, and prospects for the future","volume":"2","author":"Psyllidis A","year":"2022","unstructured":"A Psyllidis, S Gao, Y Hu, EK Kim, G McKenzie, R Purves, M Yuan, and C Andris. 2022. Points of Interest (POI): A commentary on the state of the art, challenges, and prospects for the future. Computational Urban Science, 2 (1), 20.","journal-title":"Computational Urban Science"},{"key":"e_1_3_2_1_17_1","volume-title":"Seismic foundation model: A next generation deep-learning model in geophysics. Geophysics 90, 2","author":"Sheng Hanlin","year":"2025","unstructured":"Hanlin Sheng, Xinming Wu, Xu Si, Jintao Li, Sibo Zhang, and Xudong Duan. 2025. Seismic foundation model: A next generation deep-learning model in geophysics. Geophysics 90, 2 (2025), IM59-IM79."},{"key":"e_1_3_2_1_18_1","volume-title":"CBCM'21","author":"Tempelmeier Nicolas","year":"2021","unstructured":"Nicolas Tempelmeier, Simon Gottschalk, and Elena Demidova. 2021. GeoVectors: a linked open corpus of OpenStreetMap Embeddings on world scale. In CBCM'21. 4604--4612."},{"key":"e_1_3_2_1_19_1","volume-title":"KDD'24","author":"Xiao Congxi","year":"2024","unstructured":"Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, and Hui Xiong. 2024. ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations. In KDD'24. 3527--3538."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the ACM Web Conference","author":"Yan Yibo","year":"2024","unstructured":"Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, and Yuxuan Liang. 2024. Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web. In Proceedings of the ACM Web Conference 2024. 4006--4017."}],"event":{"name":"SIGSPATIAL '25: The 33rd ACM International Conference on Advances in Geographic Information Systems","location":"Minneapolis MN USA","acronym":"UMFM '25","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 1st ACM SIGSPATIAL International Workshop on Urban Mobility Foundation Models"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3764925.3770909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:02:19Z","timestamp":1764698539000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3764925.3770909"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":20,"alternative-id":["10.1145\/3764925.3770909","10.1145\/3764925"],"URL":"https:\/\/doi.org\/10.1145\/3764925.3770909","relation":{},"subject":[],"published":{"date-parts":[[2025,11,3]]},"assertion":[{"value":"2025-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}