天津地铁站点停车流量与商业选址决策支持数据集

对14个停车场的车辆进出数据及包月车数据进行统计分析，计算一系列关键指标。如算出平均车辆进出总量，反映整体的交通流量和潜在消费人群规模；确定高峰时段车辆进出比例和低谷时段车辆进出比例，体现不同时间段的交通压力和商业需求强度；计算平均停留时长，衡量消费者在周边停留的时间，评估商业吸引力。同时对比不同停车场的数据，找出差异和优势区域。在车辆进出总量方面进行对比，确定热门区域；分析平均停留时长的差异，判断哪些停车场周边的商业能吸引消费者长时间停留；对比设施状况，评估不同停车场的设施优势，如充电桩、智能引导系统等先进设施对商业的影响。

Statistical analysis was conducted on vehicle entry-exit data and monthly subscription vehicle data from 14 parking lots, and a series of key metrics were calculated. Specifically, the average total number of vehicle entries and exits was computed to reflect overall traffic flow and the scale of potential consumer groups; the proportions of vehicle entries and exits during peak and off-peak hours were determined to represent traffic pressure and the intensity of commercial demand across different time periods; and the average parking duration was calculated to measure the time consumers spend in the surrounding area and evaluate commercial attractiveness. Meanwhile, data from different parking lots were compared to identify disparities and advantageous regions. Comparisons were further made in terms of total vehicle entries and exits to pinpoint popular areas; differences in average parking duration were analyzed to determine which parking lots' surrounding businesses could attract consumers to stay for longer periods; and facility conditions were compared to assess the advantages of different parking lots, such as the impact of advanced facilities including charging piles and intelligent guidance systems on commercial performance.