01657975

Component

In order to reduce the car trips for a long school commuting distance, it is significant to guide the student in riding the metro for its advantage in the long-distance transport. Considering the students who use metro occasionally are potential to be driven to school by their parents, this paper focuses on the school commuting in the metro system across different loyalty groups. Nanjing is adopted as a case study, the school metro commuter identification process based on smart card data (SCD) was proposed. Three groups of school commutes, namely high-frequency group, intermediate-frequency group, and low-frequency group were divided based on the clustering analysis. Also, the school commuting patterns of the meter for each group were divided into three patterns regarding the existence of escorting behaviors in metro school commuting. Furthermore, the possible factors for these patterns across different school commuter groups have been investigated. The results indicate that the spatial relationship between home and school and the distribution of school and residence significantly impact the school commuting in the metro across different loyalty groups.

This paper was sponsored by TRB committee ABE90 Standing Committee on Transportation in the Developing Countries.

18-03700

English

6p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References

Commuting; Mode choice; Public transit; School children; School trips; Smart cards

Nanjing (China)

Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-03700

TRIS, TRB, ATRI

Jan 8 2018 10:55AM