园区精细小时客流动态分析数据

1.了解每小时的客流量变化，政府可以制定更加有效的交通疏导方案，减少交通拥堵。例如，高峰时段实施交通管制，引导车辆分流； 2.通过分析园区月均客流小时级数据，政府可以更准确地识别加班频繁的时段和企业。例如，如果某企业的员工在晚上9点到11点之间仍有大量进出记录，政府可以对该企业进行专项检查，确保其遵守劳动法规定的加班时间和工资支付标准。

1. Gaining insights into hourly passenger flow variations, government authorities can develop more effective traffic management plans to alleviate traffic congestion. For example, traffic control measures can be implemented during peak hours to divert vehicle flows;
2. By analyzing hourly data of the monthly average passenger flow within the park, government authorities can more accurately identify time periods and enterprises with frequent overtime practices. For instance, if a large number of employees of a specific enterprise still have substantial entry and exit records between 9 PM and 11 PM, the authorities can conduct a special inspection on the enterprise to ensure its compliance with the overtime hours and wage payment standards stipulated by labor laws.

搜集汇总

数据集介绍

特点

该数据集为深圳市前海数据服务有限公司提供的园区精细小时客流动态分析数据，包含园区代码、名称、位置、面积、时间段和客流量等字段。数据经过严格清洗和处理，适用于交通疏导和企业加班检查等应用场景。数据格式为EXCEL和API，有效期为2024年10月29日至2029年10月28日。