遇见数据集

景区内部交通车发车间隔与满意度数据集

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国家数据集管理服务平台2026-06-09 更新2026-06-10 收录
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本数据集聚焦大型景区内部交通车的发车间隔配置与游客满意度之间的关联关系,覆盖山岳型景区、主题公园、历史文化景区、生态度假区等类型,包含循环摆渡车、区间接驳车、观光游览车、快速直达车等线路。数据内容包括线路元数据、时间维度、运营参数(计划/实际发车间隔、班次、投入车辆)、客流负荷(运载人次、满载率、排队人数、等待时长)及满意度指标(等待满意度、舒适度评分、投诉量、弃乘比例)。适用于运力优化、排队预测、体验改善、车辆调度等场景。

This dataset centers on the correlation between the departure interval configuration of internal shuttle buses within large-scale scenic areas and tourist satisfaction. Covering various types of sites including mountainous scenic spots, theme parks, historical and cultural scenic spots, and ecological resort areas, it encompasses routes such as circular shuttle buses, inter-zone transfer shuttles, sightseeing tour buses, and express direct shuttle buses. The dataset contains route metadata, time dimensions, operational parameters (including planned/actual departure intervals, service schedules, and deployed vehicle counts), passenger flow load indicators (including total carried passenger trips, vehicle load rate, queue length, and waiting duration), as well as satisfaction metrics (including waiting satisfaction, comfort score, number of complaints, and passenger abandonment rate). It is applicable to scenarios such as capacity optimization, queue prediction, visitor experience improvement, and vehicle scheduling.

创建时间:
2026-06-04
搜集汇总
数据集介绍
景区内部交通车发车间隔与满意度数据集 数据集图片
背景与挑战
背景概述
该数据集系统研究了大型景区内部各类交通车的发车间隔配置与游客满意度之间的量化关联关系。数据覆盖多种景区类型和交通线路,包含详细的运营参数、客流负荷及游客满意度等多维度指标。它主要应用于景区交通运力优化、游客等待体验改善及智慧旅游相关模型的训练与开发。
以上内容由遇见数据集搜集并总结生成
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