1,045
Views
0
CrossRef citations to date
0
Altmetric
Articles

A knowledge-based approach for estimating the distribution of urban mixed land use

, , , &
Pages 965-987 | Received 21 Oct 2022, Accepted 21 Feb 2023, Published online: 16 Mar 2023

References

  • Andrade, Renato, Ana Alves, and Carlos Bento. 2020. “POI Mining for Land Use Classification: A Case Study.” ISPRS International Journal of Geo-Information 9 (9): 493. doi:10.3390/ijgi9090493.
  • Andris, Clio. 2016. “Integrating Social Network Data Into GISystems.” International Journal of Geographical Information Science 30 (10): 1–23. doi:10.1080/13658816.2016.1153103.
  • Bayer, Markus, Marc-André Kaufhold, and Christian Reuter. 2022. “A Survey on Data Augmentation for Text Classification.” ACM Computing Surveys 55 (7): 1–39. doi:10.1145/3544558.
  • Bengio, Yoshua, Aaron Courville, and Vincent Pascal. 2013. “Representation Learning: A Review and New perspectives.” IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (8): 1798–1828. doi:10.1109/TPAMI.2013.50.
  • Burton, E., M. Jenks, and K. Williams. 2003. The Compact City: A Sustainable Urban Form? London, England: Routledge. doi:10.4324/9780203362372.
  • Cha, Sung-Huyk. 2007. “Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions.” International Journal of Mathematical Models and Methods in Applied Sciences 1 (4): 300–307.
  • Gao, Song, Janowicz Krzysztof, and Couclelis Helen. 2017. “Extracting Urban Functional Regions from Points of Interest and Human Activities on Location-Based Social Networks.” Transactions in GIS 21 (3): 446–467. doi: 10.1111/tgis.12289.
  • Geng, Xin. 2016. “Label Distribution Learning.” IEEE Transactions on Knowledge and Data Engineering 28 (7): 1734–1748. doi: 10.1109/TKDE.2016.2545658.
  • Han, Haoying, Xiang Yu, and Ying Long. 2016. “Identifying Urban Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing.” City Planning Review 116 (6): 193–217. doi: 10.1007/978-3-319-19342-7_10.
  • Hoffmann, Raphael, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S. Weld. 2011. “Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations.” In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, 541–550. Portland: ACL.
  • Hong, Danfeng, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, and Bing Zhang. 2021. “More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification.” IEEE Transactions on Geoscience and Remote Sensing 59 (5): 4340–4354. doi:10.1109/TGRS.2020.3016820
  • Huang, Weiming, Lizhen Cui, Meng Chen, Daokun Zhang, and Yao Yao. 2022. “Estimating Urban Functional Distributions with Semantics Preserved POI Embedding.” International Journal of Geographical Information Science 36 (10): 1905–1930. doi:10.1080/13658816.2022.2040510.
  • Jiang, Shan, Ana Alves, Rodrigues Filipe, Joseph Ferreira Jr., and Francisco C. Pereira. 2015. “Mining Point-of-Interest Data from Social Networks for Urban Land Use Classification and Disaggregation.” Computers, Environment and Urban Systems 53 (9): 36–46. doi:10.1016/j.compenvurbsys.2014.12.001.
  • Jiang, Bingchuan, Gang Wan, Jian Xu, Feng Li, and Huiqi Wen. 2018. “Geographic Knowledge Graph Building Extracted from Multi-Sourced Heterogeneous Data.” Acta Geodaetica et Cartographica Sinica 47 (8): 1051–1061. doi:10.11947/j.AGCS.2018.20180113.
  • Kasneci, Gjergji, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, and Gerhard Weikum. 2008. “Naga: Searching and Ranking Knowledge.” In 2008 IEEE 24th International Conference on Data Engineering, 953–962. Cancun: IEEE. doi:10.1109/ICDE.2008.4497504.
  • Li, Mingxiao, Song Gao, Feng Lu, Kang Liu, Hengcai Zhang, and Wei Tu. 2021a. “Prediction of Human Activity Intensity Using the Interactions in Physical and Social Spaces Through Graph Convolutional Networks.” International Journal of Geographical Information Science 35 (12): 2489–2516. doi: 10.1080/13658816.2021.1912347.
  • Li, Jing, Haiyan Liu, Wenyue Guo, and Xin Chen. 2021b. “A Spatio-Temporal Network for Human Activity Prediction Based on Deep Learning.” Acta Geodaetica et Cartographica Sinica 50 (4): 522–531 doi:10.11947/j.AGCS.2021.20200230.
  • Lin, Yankai, Zhiyuan Liu, and Maosong Sun. 2016. “Knowledge Representation Learning with Entities, Attributes and Relations.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence, 2866–2872. New York: ACM. doi:10.1109/LSP.2016.2537376.
  • Lv, Yuxia, Yuxian Zhang, Chongli Ma, Ying Zhang, and Tang Yin. 2022. “Land Use Classification Comparative Analysis between IPCC and China.” Geospatial Information 20 (7): 22–25. 1672-4623.2022.07.005. doi:10.3969/j.issn.
  • Ma, Qiang, Liangxu Wang, Xin Gong, and Ke Li. 2022. “Research on the Rationality of Public Toilets Spatial Layout Based on the POI Data from the Perspective of Urban Functional Area.” [In Chinese.] Geographic Information Sciences 24 (01): 50–62. doi:10.12082/dqxxkx.2022.210331.
  • Niu, Ning, Xiaoping Liu, He Jin, Xinyue Ye, Yu Liu, Xia Li, Yimin Chen, and Shaoying Li. 2017. “Integrating Multi-Source Big Data to Infer Building Functions.” International Journal of Geographical Information Science 31 (9): 1871–1890. doi:10.1080/13658816.2017.1325489.
  • Portnov, Boris A., and Moshe Schwart. 2009. “Urban Clusters as Growth Foci.” Journal of Regional Science 49 (2): 287–310. doi: 10.1111/j.1467-9787.2008.00587.x.
  • Ren, Tingting, Xiuyi Jia, Weiwei Li, Lei Chen, and Zechao Li. 2019. “Label Distribution Learning with Label Correlations Via Low-Rank Approximation.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 3325–3331. Macao: AAAI. doi:10.1002/int.22307.
  • Tian, Li, and Tiyan Shen. 2011. “Evaluation of Plan Implementation in the Transitional China: A Case of Guangzhou City Master Plan.” Cities 28 (1): 11–27. doi: 10.1016/j.cities.2010.07.002.
  • Tobler, W. R. 1970. “A Computer Movie Simulating Urban Growth in the Detroit Region.” Economic Geography 46 (sup. 1): 234–240. doi:10.2307/143141.
  • Tu, Wei, Jinzhou Cao, Yang Yue, Shih-Lung Shaw, Meng Zhou, Zhensheng Wang, Xiaomeng Chang, Yang Xu, and Qingquan Li. 2017. “Coupling Mobile Phone and Social Media Data: A New Approach to Understanding Urban Functions and Diurnal Patterns.” International Journal of Geographical Information Science 31 (12): 2331–2358. doi: 10.1080/13658816.2017.1356464.
  • Wang, Minghua, Qiang Wang, Danfeng Hong, Swalpa Kumar Roy, and Jocelyn Chanussot. 2022. “Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection.” IEEE Transactions on Cybernetics 53 (1): 679–691. doi:10.1109/TCYB.2022.3175771.
  • Wang, Bihui, Yunchao Wu, and Xiaochun Wu. 2012. ��Urban Land Use Classification Using High Resolution Remote Sensing Data.” [In Chinese.] Remote Sensing Information 27 (4): 111–115. doi:10.3969/j.issn.1000-3177.2012.04.020.
  • Wu, Lun, Ximeng Cheng, Di Zhu Chaogui Kang, Zhou Huang, and Yu Liu. 2018. “A Framework for Mixed-Use Decomposition Based on Temporal Activity Signatures Extracted from Big Geo-Data.” International Journal of Digital Earth 13 (6): 708–726. doi:10.1080/17538947.2018.1556353.
  • Xu, Kun, Siva Reddy, Yansong Feng, Songfang Huang, and Dongyan Zhao. 2016. “Question Answering on Freebase Via Relation Extraction and Textual Evidence.” In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2326–2336. Berlin: ACL. doi:10.18653/v1/P16-1220.
  • Yan, Bo, Krzysztof Janowicz, Gengchen Mai, and Song Gao. 2017. “From ITDL to Place2Vec: Reasoning about Place Type Similarity and Relatedness by Learning Embeddings from Augmented Spatial Contexts.” In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 1–10. Redondo Beach: ACM. doi:10.1145/3139958.3140054.
  • Yang, Donghua, Tao He, Hongzhi Wang, and Jinbao Wang. 2022. “Survey on Knowledge Graph Embedding Learning.” [In Chinese.] Journal of Software 33 (9): 3370–3390. doi: 10.13328/j.cnki.jos.006426.
  • Yao, Yao, Xia Li, Xiaoping Liu, Penghua Liu, Zhaotang Liang, Jinbao Zhang, and Ke Mai. 2017. “Sensing Spatial Distribution of Urban Land use by Integrating Points-of-Interest and Google Word2Vec model.” International Journal of Geographical Information Science 31 (4): 825–848. doi: 10.1080/13658816.2016.1244608.
  • Yuan, Jing, Yu Zheng, and Xing Xie. 2012. “Discovering Regions of Different Functions in a City Using Human Mobility and POIs.” In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 186–194. Long Beach: ACM.
  • Yue, Yang, Yan Zhuang, Anthony G. O. Yeh, Jinyun Xie, Chenglin Ma, and Qingquan Li. 2017. “Measurements of POI-Based Mixed Use and their Relationships with Neighbourhood Vibrancy.” International Journal of Geographical Information Science 31 (4): 658–675. doi: 10.1080/13658816.2016.1220561.
  • Zhang, Jinbao, Xia Li, Yao Yao, Ye Hong, Jialyu He, Zhangwei Jiang, and Jianchao Sun. 2021. “The Traj2Vec Model to Quantify Residents’ Spatial Trajectories and Estimate the Proportions of Urban Land-Use Types.” International Journal of Geographical Information Science 35 (1): 193–211. doi: 10.1080/13658816.2020.1726923.
  • Zhao, Ling, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, and Haifeng Li. 2019. “T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction.” IEEE Transactions on Intelligent Transportation Systems 21 (9): 3848–3858. doi: 10.1109/TITS.2019.2935152.
  • Zheng, Yu, Capra Licia, Wolfson Ouri, and Yang Hai. 2014. “Urban Computing: Concepts, Methodologies, and Applications.” ACM Transaction on Intelligent Systems and Technology 5 (3): 38.1–38.55. doi:10.1145/2629592.
  • Zheng, Zhijian, Rongbao Zheng, Jiayuan Xu, and Jiaqiu Wang. 2020. “Identification of Urban Functional Regions Based on POI Data and Place2vec Model.” [In Chinese.] Geography and Geo-Information Science 36 (04): 48–56. doi: 10.3969/j.issn.1672-0504.2020.04.008.
  • Zhou, Hang, and Hong Fan. 2022. “Research on the Identification of Urban Function Areas and the Hot Spots Based on Crowdsourcing Geographic data.” [In Chinese.] Engineering Journal of Wuhan University 55 (04): 417–426. doi:10.14188/j.1671-8844.2022-04-013.
  • Zhou, Ying, Hui Xue, and Xing Geng. 2015. “Emotion Distribution Recognition from Facial Expressions.” In Proceedings of the 23rd ACM International Conference on Multimedia, 1247–1250. Brisbane: ACM. doi:10.1145/2733373.2806328.
  • Zhu, Jiawei, Xin Han, Hanhan Deng, Chao Tao, and Haifeng Li. 2022. “KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.” IEEE Transactions on Intelligent Transportation Systems 23 (9): 15055–15065. doi:10.1109/TITS.2021.3136287.