Transferring Characteristic of Urban Rail Stations based on Stations Functional Orientation
Lijun Chen, Xuewu Chen
Abstract
Lijun Chen, Xuewu Chen
Abstract
In government policy, urban rail transit is regarded as the backbone of public transit of large cities in China. The stations with different patterns and attributes require diverse cohesion demands when integrating urban rail transit and surface transit. In this paper, the relationship between land use and a multimodal transport system within a station influence area is analyzed using the "surface-line-point" rule for station location. An influence index system with nine function-relative indexes is established based on land use and multimodal transit hierarchies. Principal Component Analysis (PCA) is used to extract the function feature for functional orientation of urban rail stations. Combined with investigation results, function and main index features, mode split for transferring to urban rail stations, and daily passenger flow distribution are analyzed for different station patterns. These characteristics provide necessary guidance for rail-surface transport systems.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In government policy, urban rail transit is regarded as the backbone of public transit of large cities in China. The stations with different patterns and attributes require diverse cohesion demands when integrating urban rail transit and surface transit. In this paper, the relationship between land use and a multimodal transport system within a station influence area is analyzed using the "surface-line-point" rule for station location. An influence index system with nine function-relative indexes is established based on land use and multimodal transit hierarchies. Principal Component Analysis (PCA) is used to extract the function feature for functional orientation of urban rail stations. Combined with investigation results, function and main index features, mode split for transferring to urban rail stations, and daily passenger flow distribution are analyzed for different station patterns. These characteristics provide necessary guidance for rail-surface transport systems.
Key concepts: Urban rail transit, Transport engineering, Mode (computer interface), Beijing, Public transport, Cohesion (chemistry), Urban rail, Computer science