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2021-09-14T14:46:53Z
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2021-09-14T14:39:38Z
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2021-08-16T15:25:03Z
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2021-07-20T15:48:14Z
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2021-07-13T00:35:48Z
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2021-05-04T16:58:40Z
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2021-04-03T20:49:13Z
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2021-02-26T01:12:16Z
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2020-11-09T17:21:00Z
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2020-09-02T16:45:26Z
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2020-09-02T16:45:26Z
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2020-08-04T21:44:36Z
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2020-04-08T15:39:43Z
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2020-01-13T16:42:04Z
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2019-12-03T20:25:29Z
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2019-10-23T18:45:02Z
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2019-06-18T15:08:18Z
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2019-05-21T15:10:42Z
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2019-05-21T15:10:10Z
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2019-05-20T14:55:46Z
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2019-02-11T16:17:08Z
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2018-10-08T16:32:57Z
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2018-09-05T16:58:53Z
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RelatedMaterial
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2018-08-13T18:11:16Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1145/3219819.3220055", "uri"=>"10.1145/3219819.3220055", "uri_type"=>"DOI", "citation"=>"Nandani Garg and Sayan Ranu. 2018. Route Recommendations for Idle Taxi Drivers: Find Me the Shortest Route to a Customer!. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18). ACM, New York, NY, USA, 1425-1434. DOI: https://doi.org/10.1145/3219819.3220055", "dataset_id"=>13, "selected_type"=>"Article", "datacite_list"=>"IsCitedBy"}
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2018-07-25T03:32:09Z
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Dataset
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update: {"subject"=>[nil, "Technology and Engineering"]}
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2018-02-09T16:00:43Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1016/j.trc.2017.12.017", "uri"=>"10.1016/j.trc.2017.12.017", "uri_type"=>"DOI", "citation"=>"Liang Hu, Jing Dong, Zhenhong Lin, Jie Yang, Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA, Transportation Research Part C: Emerging Technologies, Volume 87, February 2018, Pages 91-104, ISSN 0968-090X, https://doi.org/10.1016/j.trc.2017.12.017.", "dataset_id"=>13, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo,IsCitedBy"}
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2018-01-08T16:36:40Z
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"http://dx.doi.org/10.1145/3070607.3075961", "uri"=>"10.1145/3070607.3075961", "uri_type"=>"DOI", "citation"=>"\r\nExport Formats\r\nBibTeX | EndNote | ACM Ref\r\n\r\nJacek Sroka, Artur Leśniewski, Mirosław Kowaluk, Krzysztof Stencel, and Jerzy Tyszkiewicz. 2017. Towards minimal algorithms for big data analytics with spreadsheets. In Proceedings of the 4th Algorithms and Systems on MapReduce and Beyond (BeyondMR'17). ACM, New York, NY, USA, Article 1, 4 pages. DOI: https://doi.org/10.1145/3070607.3075961", "dataset_id"=>13, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo,IsCitedBy"}
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2017-06-15T14:55:26Z
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2017-06-12T18:50:17Z
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2017-06-12T18:50:17Z
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2017-06-06T21:14:18Z
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"http://dx.doi.org/10.1007/s00180-016-0686-y", "uri"=>"10.1007/s00180-016-0686-y", "uri_type"=>"DOI", "citation"=>"Grzegorczyk, M. & Shafiee Kamalabad, M. Comput Stat (2017) 32: 1. doi:10.1007/s00180-016-0686-y", "dataset_id"=>13, "selected_type"=>"Article", "datacite_list"=>""}
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2017-05-11T21:34:50Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"http://dx.doi.org/10.1109/GlobalSIP.2016.7906046", "uri"=>"10.1109/GlobalSIP.2016.7906046", "uri_type"=>"DOI", "citation"=>"Deri, Joya A. & Moura, Jose M. F. (2016, December). \"New York city taxi analysis with graph signal processing.\" Paper presented at 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, USA. doi:10.1109/GlobalSIP.2016.7906046.", "dataset_id"=>13, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo,IsCitedBy"}
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2017-05-11T21:25:22Z
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Dataset
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update: {"version_comment"=>[nil, ""]}
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2017-05-11T21:25:22Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"http://doi.org/10.1016/j.trc.2017.03.002", "uri"=>"10.1016/j.trc.2017.03.002", "uri_type"=>"DOI", "citation"=>"Donovan, B., & Work, D. \"Empirically quantifying city-scale transportation system resilience to extreme events.\" Transportation Research Part C: Emerging Technologies, Volume 79, June 2017, Pages 333-346, doi:10.1016/j.trc.2017.03.002.", "dataset_id"=>13, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo,IsCitedBy"}
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2017-04-19T13:56:52Z
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RelatedMaterial
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create: {"material_type"=>"Presentation", "availability"=>nil, "link"=>"http://www2.cs.uic.edu/~urbcomp2013/urbcomp2016/papers/Reducing.pdf", "uri"=>"", "uri_type"=>"", "citation"=>"Zhu, C. & Prabhakar, B. (2016, August). \"Reducing Inefficiencies in Taxi Systems.\" Paper presented at UrbComp’16, August 14, 2016, San Francisco, USA. ", "dataset_id"=>13, "selected_type"=>"Presentation", "datacite_list"=>""}
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2017-01-03T17:10:04Z
|
|
Dataset
|
update: {"description"=>["This dataset contains records of four years of taxi operations in New York City and includes 697,622,444 trips. Each trip records the pickup and drop-off dates, times, and coordinates, as well as the metered distance reported by the taximeter. The trip data also includes fields such as the taxi medallion number, fare amount, and tip amount. The dataset was obtained through a Freedom of Information Law request from the New York City Taxi and Limousine Commission.", "This dataset contains records of four years of taxi operations in New York City and includes 697,622,444 trips. Each trip records the pickup and drop-off dates, times, and coordinates, as well as the metered distance reported by the taximeter. The trip data also includes fields such as the taxi medallion number, fare amount, and tip amount. The dataset was obtained through a Freedom of Information Law request from the New York City Taxi and Limousine Commission.\r\n\r\nThe files in this dataset are optimized for use with the ‘decompress.py’ script included in this dataset. This file has additional documentation and contact information that may be of help if you run into trouble accessing the content of the zip files."]}
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2016-12-12T21:39:26Z
|
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