01551161

Component

While most previous studies of transit usage were conducted for either the average daily ridership or the average daily boarding, this study focused on metro peak-hour boarding and alighting, which were crucial for the design of stations and intermodal connection facilities. After analyzing the range of pedestrian catchment area (PCA) and the factors influencing metro usage, the related data were collected by observation and Geographic Information System (GIS). The Pearson correlation analysis was used to test correlation between factors and metro usage and multi-collinearity. Then three partial least squares (PLS) regression models were developed to explain the relationships of weekday ridership, peak-hour boarding and alighting with the factors at 31 metro stations in Hangzhou. The results showed that 9, 12 and 11 independent variables were important to explain the 3 dependent variables respectively, with the variable importance for projection (VIP) greater than 1.0. The results not only confirm some findings from previous studies but also demonstrate distinct differences regarding some variables specific to the Chinese context. Additionally, the differences of importance in some variables by differentiating the time period are discovered in this study.

This paper was sponsored by TRB committee AP015 Transit Capacity and Quality of Service. Alternate title: Analysis of Metro Peak-Hour Boarding and Alighting in Hangzhou, China.

01550057

15-1806

English

16p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Boarding and alighting; Correlation analysis; Least squares method; Passenger volume; Peak periods; Rail transit stations; Rapid transit; Ridership

Hangzhou (China)

Planning and Forecasting; Public Transportation; Terminals and Facilities; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-1806

TRIS, TRB, ATRI

Dec 30 2014 12:39PM