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Author:

Wang, Shu-Wei (Wang, Shu-Wei.) | Sun, Li-Shan (Sun, Li-Shan.) | Rong, Jian (Rong, Jian.) (Scholars:荣建)

Indexed by:

EI PKU CSCD

Abstract:

Reasonable setting of transit station catchment areas lays the foundation for predicting the transit station travel demand and designing feeder measure layout. The paper aims to overcome some shortcomings in previous researches such as seldom considering the characteristics of local road networks, as well as the problems of catchment area coincidence and potential catchment areas determination. Based on an passenger investigation, the paper presents a method to determine the catchment area with consideration of the grid type road network characteristics. With the introduction of the Thiessen polygon, it solves the coincidence problem of catchment areas, and then presents a delineating method for potential catchment area. Finally, the Geographic information system is used to establish the catchment area of Beijing Transit stations. Several feeder measure layout schemes are also generated for each station considering its catchment area characteristics. Research findings provide a theoretical basis for the future work of transit station catchment area such as land use, travel demand forecasting and feeder measure layout. It may also assist to enhance the operation efficiency of urban public transportation system in the long run. © 2011 by Science Press.

Keyword:

Runoff Motor transportation Land use Roads and streets Catchments Urban transportation Feeding

Author Community:

  • [ 1 ] [Wang, Shu-Wei]Transportation Research Center, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Sun, Li-Shan]Transportation Research Center, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Rong, Jian]Transportation Research Center, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

Year: 2013

Issue: 3

Volume: 13

Page: 183-188

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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