哈尔滨市停车情况综合分析数据

通过对哈尔滨市道路停车清洗加工统计，分析道路停车的各路段泊位周转率、日平均停车时长分布等数据：
为研究院对静态交通研究提供城市车辆动静态数据支持。
为主管部门提供路面流动及车辆管理提供数据支持。
为静态交通研究室私有知识库提供数据支持
为管理平台及城市规划停车设施建设提供数据支持。当车辆驶入或驶出停车位时系统实时上传， 平台解析数据并根据数据库中存储的车位设备关系表，找到对应所属的车位编号以及路段信息。平台每小时按照省份、城市、路段的层次从数据库检索，并按照如下规则做数据统计：统计最近一小时内，该路段下所有泊位地磁上报的有车总数据条数作为【停车次数】；统计当前时刻该路段下有车的泊位数量，作为【占用泊位】数量；统计当前时刻该路段下无车的泊位数量，作为【空闲泊位】数量；空闲泊位+占用泊位作为【泊位总数】；占用泊位/泊位总数作为【泊位占用率】；停车次数/泊位总数作为【周转率】；每个泊位停车时长总和作为【总停车时长】；总停车时长/停车次数 作为【平均停车时长】； 最后将省份、城市、路段、日期、统计时间、泊位总数、空闲泊位、占用泊位、泊位占用率、停车次数、周转率、总停车时长(分钟)、平均停车时长（分钟）存储到数据库中供后续查询。

Based on the cleaned and processed statistics of on-street parking in Harbin, this dataset analyzes data such as the berth turnover rate and daily average parking duration distribution of each road section. It provides urban vehicle dynamic and static data support for the research institute's static traffic research, offers data backing for regulatory authorities to manage on-road vehicle flow and parking operations, supplies data for the private knowledge base of the Static Traffic Research Laboratory, and provides data support for management platforms and urban planning of parking facility construction. When a vehicle enters or exits a parking space, the system uploads data in real time. The platform parses the data and retrieves the corresponding parking space ID and road section information based on the parking space-device relationship table stored in the database. The platform retrieves data from the database on an hourly basis in the hierarchy of province, city and road section, and conducts data statistics according to the following rules: 1. Count the total number of vehicle-detected data reports submitted by all berth geomagnetic sensors on this road section in the last hour as [Parking Times]; 2. Count the number of occupied berths (with vehicles) on this road section at the current moment as [Occupied Berths]; 3. Count the number of unoccupied berths (without vehicles) on this road section at the current moment as [Idle Berths]; 4. Calculate [Total Berths] as Idle Berths + Occupied Berths; 5. Calculate [Berth Occupancy Rate] as Occupied Berths / Total Berths; 6. Calculate [Turnover Rate] as Parking Times / Total Berths; 7. Calculate [Total Parking Duration] as the sum of the parking durations of all berths on this road section; 8. Calculate [Average Parking Duration] as Total Parking Duration / Parking Times; Finally, store the data including province, city, road section, date, statistical time, total berths, idle berths, occupied berths, berth occupancy rate, parking times, turnover rate, total parking duration (in minutes), and average parking duration (in minutes) into the database for subsequent queries.