柯桥区公交车站点流量分析数据

通过统计柯桥区公交车辆的载客相关信息，实时掌握公交车路线的各个站点人流情况，有助于更加精准地评估各站点的热度和使用频率，为合理规划公交路线的站点提供数据支撑，确保公交服务的高效性和便捷性，满足人们的出行需求。1、数据采集：通过线网分析平台，采集公交车的站点上行载客数量、线路上行客流总量、站点下行载客数量和线路下行客流总量；2、数据处理：对采集到的数据按公交站点进行汇总分类、排列清洗，并按照时间维度进行排列；3、数据加工：计算某一路线的站点流量指数=（站点上行载客数量+站点下行载客数量）/（线路上行客流总量+线路下行客流总量）*100%，判断站点流量指数的大小：大于5%为高流量，1%-5%为中等流量，小于1%为低流量。

This dataset is developed based on statistical analysis of passenger-related data of public transit buses in Keqiao District, aiming to acquire real-time passenger flow information at each bus stop along bus routes. It facilitates the accurate evaluation of stop popularity and usage frequency, provides data support for the rational planning of bus route stops, ensures the efficiency and convenience of public transit services, and meets public travel demands.
1. Data Collection: Relevant data is collected via the network analysis platform, including upbound passenger boarding count per stop, total upbound passenger volume of the route, downbound passenger boarding count per stop, and total downbound passenger volume of the route.
2. Data Processing: The collected data is aggregated, classified, sorted and cleaned by bus stop, and arranged in chronological order.
3. Data Calculation: The stop flow index for a specific route is calculated as: Stop Flow Index = [(Upbound Passenger Boarding Count per Stop + Downbound Passenger Boarding Count per Stop) / (Total Upbound Passenger Volume of the Route + Total Downbound Passenger Volume of the Route)] × 100%. Subsequently, the stop flow index is classified into three tiers: high flow (index > 5%), medium flow (1% ≤ index ≤ 5%), and low flow (index < 1%).

搜集汇总

数据集介绍

特点

该数据集包含柯桥区公交车站点的流量分析数据，涵盖787条记录，数据格式为Excel，更新频次按需。通过统计各站点的载客数量和客流总量，计算站点流量指数，为公交路线规划和站点优化提供数据支持。