毕节-遵义线路节假日客运情况分析数据集

针对某一个节假日，计算该节假日前后三天日均客运量以及节假日日均客运量。节假日客运量比率用于量化节假日客运需求的波动情况，通过节假日平均客运量与节假日前后三个工作日日均客运量的比值计算。 公式： 节假日客运量比率 = 节假日日均客运量 * 200 / （节假日前三个工作日的日均客运量 + 节假日后三个工作日的日均客运量） 注：根据实际情况，将平日均值定义为“节假日前后三个工作日的工作日平均值”以消除长期增长趋势的影响。识别节假日客流的规律性特征（如春节前返乡方向客流集中，国庆期间旅游客流爆发），建立节假日客运预测模型，为未来类似节假日的运力筹备、应急方案制定提供历史依据。For a specified holiday, compute the average daily passenger volume (ADPV) for the three days prior to the holiday, the three days subsequent to the holiday, and the average daily passenger volume during the holiday itself. The holiday passenger volume ratio (HPVR) is designed to quantify fluctuations in holiday passenger demand, calculated via the following formula: HPVR = (Average Daily Passenger Volume During Holiday) × 200 / (Average Daily Passenger Volume of the Three Preceding Working Days + Average Daily Passenger Volume of the Three Following Working Days). Note: In line with practical scenarios, the weekday average passenger volume is defined as the "average of the three working days immediately before and after the holiday" to eliminate the impact of long-term growth trends. Identify the regular patterns of holiday passenger flows (e.g., concentrated homebound passenger flows ahead of the Spring Festival, explosive tourist passenger flows during the National Day holiday), and establish a holiday passenger flow prediction model to provide historical references for transportation capacity preparation and emergency plan formulation for future similar holidays.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于毕节至遵义线路在法定节假日期间的客运情况分析，旨在通过对比节假日与平日的客流数据（如总量、方向和高峰时段），为运输管理者提供决策支持，以优化运力部署和售票策略。数据集采用每日更新，规模较小（28KB），并基于节假日客运量比率公式量化需求波动，同时建立预测模型识别客流规律，为未来类似节假日的运输保障和应急方案制定提供历史依据。