TITLE:
High-Speed Rail Station Interconnectivity and Ridership
AUTHORS:
Hualiang (Harry) Teng, Tarik Toughrai, Tingting Yu, Russell Ozawa
KEYWORDS:
High Speed Rail, Multimodal, Connectivity, Ridership, Regression Analysis
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.12 No.2,
March
29,
2022
ABSTRACT: The objective of this study was to quantify multimodal connectivity of
HSR stations and its impact on ridership in four countries: France, Spain,
Japan and China. In this study, multimodal connectivity is measured by the
number of different modes of transportation connected to HSR stations, the
number of installed arrival and departure facilities for each mode, the
transfer time from connecting modes to boarding platforms at HSR stations, and
the arrival time intervals of public transportation modes. Data were collected
from HSR systems of these four countries. The relationship between ridership
and the characteristics of multimodal connectivity was identified using
regression models developed in this study. All the connectivity variables
considered in this study influence ridership in these four countries in
different ways. On the whole, bus, subway, and regional railroad services influence ridership significantly. For instance, the more bus services
connected to the station, the higher the ridership. This trend is apparent in
three of the four countries, France being the exception. Also, subway, light
rail, and traditional rail are modes of high-capacity
transportation. Their connection to HSR stations always implies high
ridership for high-speed rail. The number of facilities also shows significant
impacts on HSR ridership. For instance, the more bus and subway stops, and the
more bicycle parking and taxi stands, the higher the ridership. Transfer time
also has a significant influence.