停车需求特征指标的潜在特性

在连续数据条件下,对停车需求特征指标的稳定性和代表性进行考察.基于连续数据分析的停车需求特征指标的稳定性和代表性与传统应用过程中的假设有很大出入,表明了以往基于经验的随机抽样和处理方法存在一定缺陷.然而,对停车需求特征指标进行高峰比转换后,组别差异被有效地抑制.基于同步统计推断法,发现各停车需求特征指标的不同分组间均无显著性差异,说明了在各自的波动范围内,停车需求特征指标具有稳定性和代表性.

Potential Features of Parking Demand Characteristics

Under the condition of continuous data, the stability and representativeness of parking demand characteristics index was investigated. The stability and representativeness of parking demand characteristics index based on the continuous data analysis is quite different from the assumptions in the traditional application process. It is shown that there are some defects in the previous empirical random sampling and processing methods. However, the group differences were effectively suppressed after the peak ratio conversion of parking demand characteristics index. By simultaneous statistical inference technique, there is no significant difference between each group among all parking demand characteristics indexes tested, which suggests that the parking demand characteristics index has the stability and representativeness within the fluctuation range of each index.