%0 Journal Article %1 journals/agis/GaoLLMKL19 %A Gao, Song %A Li, Mingxiao %A Liang, Yunlei %A Marks, Joseph %A Kang, Yuhao %A Li, Moying %D 2019 %J Ann. GIS %K dblp %N 4 %P 299-312 %T Predicting the spatiotemporal legality of on-street parking using open data and machine learning. %U http://dblp.uni-trier.de/db/journals/agis/agis25.html#GaoLLMKL19 %V 25

@article{journals/agis/GaoLLMKL19, added-at = {2023-06-26T00:00:00.000+0200}, author = {Gao, Song and Li, Mingxiao and Liang, Yunlei and Marks, Joseph and Kang, Yuhao and Li, Moying}, biburl = {https://www.bibsonomy.org/bibtex/2dac12e46f7d1b38f1e7dc2e621b9eb49/dblp}, ee = {https://doi.org/10.1080/19475683.2019.1679882}, interhash = {7a6d6e6b3b3e138be2b0867b2a5266fa}, intrahash = {dac12e46f7d1b38f1e7dc2e621b9eb49}, journal = {Ann. GIS}, keywords = {dblp}, number = 4, pages = {299-312}, timestamp = {2024-04-08T14:30:23.000+0200}, title = {Predicting the spatiotemporal legality of on-street parking using open data and machine learning.}, url = {http://dblp.uni-trier.de/db/journals/agis/agis25.html#GaoLLMKL19}, volume = 25, year = 2019 }