金华公交线路工作日客运量分析数据

通过分析工作日的客运量数据，可以了解不同时间段和不同线路的乘客需求，从而优化公交线路的运营计划，调整发车频率和车辆配置，也可以提供更加精准的乘客信息服务，如实时公交到站信息、拥挤度预测等，提升乘客的出行体验。1.数据采集：利用金华交投公交云平台，采集金华公交的线路管理、车辆管理、以及交易汇总等数据。 2.数据处理：以时间为单位，按月份记录每条线路的营运公里数及客运量总和，并区分工作日与节假日。3.数据加工：百公里客运量=月客运量/（月营运公里数/100）；百公里客运量＞100，记为偏高；全部线路中排名末尾50名，记为偏低，其他为正常。4.数据应用：通过“客流分析”可视化界面直观展现各条线路百公里客运量低、高线路的排名情况，从而优化公交线路的运营计划。

By analyzing passenger volume data on workdays, stakeholders can gain insights into passenger demand across different time periods and bus routes, thereby optimizing bus route operation plans, adjusting departure frequencies and vehicle allocations, and delivering more precise passenger information services such as real-time bus arrival notifications and crowding prediction to improve passengers' travel experience.
1. Data Collection: Data related to route management, vehicle management and transaction summary of Jinhua buses are collected via the Jinhua Jiaotong Investment Bus Cloud Platform.
2. Data Processing: The monthly operating kilometers and total passenger volume of each bus route are recorded on a monthly basis, with differentiation made between workdays and holidays.
3. Data Refinement: The per 100-kilometer passenger volume is calculated as: Per 100-kilometer passenger volume = Monthly passenger volume / (Monthly operating kilometers / 100); If the per 100-kilometer passenger volume exceeds 100, it is categorized as "high"; The bottom 50 routes in the overall ranking are categorized as "low"; The remaining routes are categorized as "normal".
4. Data Application: A "Passenger Flow Analysis" visualization interface is developed to intuitively display the ranking of routes with high and low per 100-kilometer passenger volume, so as to optimize the operation plans of bus routes.

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金华公交线路工作日客运量分析数据包含553条记录，每日更新，用于分析工作日客运量以优化公交运营计划和提升乘客出行体验。