On-street Parking Bays
收藏Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/on-street-parking-bays/2296305
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资源简介:
Upcoming Changes: Please note that our parking system is being improved and this dataset may be disrupted. See more information here.\r\n\r\nThis dataset contains spatial polygons which represent parking bays across the city. Each bay can also link to it's parking meter, and parking sensor information.\r\n\r\nHow the data joins:\r\n\r\nThere are three datasets that make up the live parking sensor release. They are the on-street parking bay sensors, on-street parking bays and the on-street car park bay information. \r\nThe way the datasets join is as follows. The on-street parking bay sensors join to the on-street parking bays by the marker_id attribute. The on-street parking bay sensors join to the on-street car park bay restrictions by the bay_id attribute. The on-street parking bays and the on-street car park bay information don’t currently join.\r\n\r\n\r\n\r\nPlease see City of Melbourne's disclaimer regarding the use of this data. https://data.melbourne.vic.gov.au/stories/s/94s9-uahn
即将更新提示:请注意,本城市停车系统正在进行升级优化,本数据集可能会因此受到影响。更多详情请点击此处。
本数据集包含覆盖全市范围的停车泊位空间多边形(spatial polygons)数据。每个泊位均可关联对应的停车缴费咪表及停车传感器信息。
数据关联规则:
本次实时停车传感器发布共包含三类数据集,分别为路内停车泊位传感器(on-street parking bay sensors)、路内停车泊位(on-street parking bays)以及路内停车场泊位信息(on-street car park bay information)。
各数据集的关联方式如下:
1. 路内停车泊位传感器通过marker_id属性与路内停车泊位建立关联;
2. 路内停车泊位传感器通过bay_id属性与路内停车场泊位限制规则建立关联;
3. 目前路内停车泊位与路内停车场泊位信息暂无关联关系。
请参阅墨尔本市政府(City of Melbourne)关于本数据集使用的免责声明。https://data.melbourne.vic.gov.au/stories/s/94s9-uahn
提供机构:
data.vic.gov.au



