城市路侧停车行为与资源效能诊断数据

本数据集对原始路侧停车记录进行深度加工，它通过对市政公司停车管理平台中车辆、时长、缴费等基础信息进行多维度聚合、算法分析与外部逻辑关联，生成了反映停车资源效率、用户行为规律及路段价值特征的衍生指标库。数据已进行标准化脱敏处理，确保合规安全，适用于智慧城市领域的分析、建模与决策支持。

This dataset is developed through in-depth processing of original roadside parking records. It conducts multi-dimensional aggregation, algorithmic analysis and external logical correlation on basic information including vehicle details, parking duration and payment records from the municipal parking management platform, thereby generating a derivative indicator library that reflects parking resource efficiency, user behavior patterns and road segment value characteristics. The data has undergone standardized anonymization processing to ensure compliance and security, and is suitable for analysis, modeling and decision support in the field of smart cities.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于城市路侧停车行为与资源效能的诊断分析，由杨陵区城乡环卫有限责任公司提供并处于公示状态。它旨在通过收集和分析停车相关数据，评估路侧停车资源的利用效率，为城市停车管理优化提供支持。