{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T23:22:41Z","timestamp":1778196161505,"version":"3.51.4"},"reference-count":42,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42101470"],"award-info":[{"award-number":["42101470"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2023BTY128"],"award-info":[{"award-number":["2023BTY128"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2023D01A57"],"award-info":[{"award-number":["2023D01A57"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Social Science Foundation of Xinjiang Uygur Autonomous Region","award":["42101470"],"award-info":[{"award-number":["42101470"]}]},{"name":"Project of Social Science Foundation of Xinjiang Uygur Autonomous Region","award":["2023BTY128"],"award-info":[{"award-number":["2023BTY128"]}]},{"name":"Project of Social Science Foundation of Xinjiang Uygur Autonomous Region","award":["2023D01A57"],"award-info":[{"award-number":["2023D01A57"]}]},{"name":"Project of Natural Science Foundation of Xinjiang Uygur Autonomous Region","award":["42101470"],"award-info":[{"award-number":["42101470"]}]},{"name":"Project of Natural Science Foundation of Xinjiang Uygur Autonomous Region","award":["2023BTY128"],"award-info":[{"award-number":["2023BTY128"]}]},{"name":"Project of Natural Science Foundation of Xinjiang Uygur Autonomous Region","award":["2023D01A57"],"award-info":[{"award-number":["2023D01A57"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The layout and site selection strategy of commercial facilities are crucial for both enterprise performance and market image, while also significantly impacting the overall planning of urban commercial environments. However, conventional methods of choosing sites sometimes depend on outdated management information systems or static statistical models, which may not take into account all relevant factors and have poor data quality. By utilizing geographical big data and geographical artificial intelligence, this study improves the viability of commercial layout and site selection methods. This study utilizes mobile phone signaling data from Beijing combined with point-of-interest (POI) data from within the Sixth Ring Road of Beijing to identify user behaviors using algorithms. Through a combination of BiLSTM-RF and reinforcement learning algorithms, a population location prediction algorithm is constructed to address the issues of inaccurate and outdated population flow data in commercial site selection. The forecast distribution has a high level of accuracy, with a prediction accuracy rate of 73.2%. Additionally, based on geographical big data, the urban landscape is reconstructed to create a 3D model of Beijing. An immersive interactive commercial site selection system is implemented using the Unreal Engine.<\/jats:p>","DOI":"10.3390\/ijgi13120432","type":"journal-article","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T04:04:04Z","timestamp":1733198644000},"page":"432","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data\u2014A Case Study of the Central Urban Area of Beijing"],"prefix":"10.3390","volume":"13","author":[{"given":"Jin","family":"Zou","sequence":"first","affiliation":[{"name":"School of Mathematics and Physics, Xinjiang Hetian College, Hetian 848000, China"},{"name":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5502-2974","authenticated-orcid":false,"given":"Xun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Physics, Xinjiang Hetian College, Hetian 848000, China"},{"name":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangxiao","family":"Cong","sequence":"additional","affiliation":[{"name":"Railway Economic and Planning Research Institute, Beijing 100089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhentong","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinlian","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Triantaphyllou, E., and Triantaphyllou, E. 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