宜昌市猇亭区-互联网和相关服务-宜昌市猇亭区城市运营停车行为分析数据集

猇亭城市运营停车行为分析数据集由金猇城市运营管理有限公司牵头建设，旨在提升智慧停车管理水平与城市交通治理能力。数据集汇集全区自营和非自营停车场车辆进出图像、车牌识别信息及收费、停留时长、支付行为等运营数据，图片类数据约占60%，结构化业务数据约占40%。通过对数据的统一采集与分析应用，实现了停车引导优化、新能源充电桩科学布局、商业区客流热力预测等典型场景落地，有效提升了车位利用率和运营效率。项目在上级部门指导下与技术服务商深度协同推进，形成了“数据驱动+应用导向”的一体化运营模式，为推动城市精细化管理与绿色低碳出行提供了强有力的支撑。

The Xiaoting Urban Operation Parking Behavior Analysis Dataset, led in its development by Jinxiao Urban Operation Management Co., Ltd., aims to enhance smart parking management levels and urban traffic governance capabilities. This dataset aggregates vehicle entry and exit images, license plate recognition information, and operational data including charging records, parking duration and payment behaviors from both self-operated and non-self-operated parking lots across the entire Xiaoting District. Approximately 60% of the dataset is image-based data, while structured business data accounts for about 40%. Through unified data collection, analysis and application, the dataset has realized the implementation of typical application scenarios such as optimized parking guidance, scientific layout of new energy charging piles, and passenger flow heatmap prediction in commercial areas, effectively improving parking space utilization and operational efficiency. Under the guidance of superior departments and in deep collaboration with technical service providers, the project has formed an integrated operation model featuring "data-driven + application-oriented", providing strong support for promoting urban refined management and green low-carbon travel.

搜集汇总

背景与挑战

背景概述

该数据集汇集宜昌市猇亭区停车场的图像和结构化运营数据，通过分析应用提升停车管理效率和城市交通治理水平，支持智慧城市建设和绿色出行。