Sentence examples for transit sizes from inspiring English sources

Clustering analysis results in four classes of the transit sizes, as shown in Table 3.

Specifically, the regression models (a), (b), (c), (q), and (r) are used to calculate the intercity rail transit sizes.

The node with the largest rail transit size is located in Nanshan, and the node with the smallest rail transit size is located in Gaoyao.

Those models are used for estimating the intercity rail transit size for the PRD region.

Table 2 Comparison between estimated and planned total rail transit lengths Population size (10,000) Land use size (km) GDP Level (hundred estimated million dollars) Model estimated intercity rail transit size (km) Model estimated average rail transit size (km) Planned average rail transit size (km) (a) (b) (c) (q) (r) 4772 41,515 3342 3418 486 2820 1278 3461 2293 1890.

The statistical analysis indicates that the intercity rail transit size is most highly correlated with the regional GDP level.

There may be other factors influencing the rail transit size, such as policy, investment, technology, and other natural conditions.

The result indicates that Guangzhou and Shenzhen obviously need the largest intercity rail transit size, followed by Zhuhai, Foshan and Dongwan.

Huizhou, Zhongshan, and Jiangmen also need large intercity rail transit size, even though their need is less than the above cities based the model result.

In this study, the data used in the models include population density and per capita GDP of every node, and then the regional intercity rail transit size of every node is obtained by using the model (q) and (r).

The scope models [i.e., models (a), (b), (c), (q), and (r)] resulted from this analysis are used as a reference benchmark for estimating the intercity rail transit size for the PRD region.