A Method to Define the Influence Area of Transferred Shared Bicycle in Rail Transit Based on Multi-source Data

Bike sharing plays an important role in the transfer and connection of metro, and also extends the passenger flow attraction range. Therefore, it is of great significance to carry out the quantitative definition of the impact area of rail stations, which has important guiding significance for the scientific allocation of shared bicycles within the attractive scope. This paper takes Nanjing, China as the research site. Through the space-time characteristics of riding, the influence area can be defined as the core layer, radiation layer and peripheral layer. Based on the transfer data of shared bicycles around the stations, the stations are classified into five types: morning inflow-evening outflow type, morning outflow-evening inflow type, morning and evening double peak type, all day equilibrium type and sparse transfer type, which is convenient to analyze the difference in the influence area. In addition, this paper defines the area of bicycle transfer station by multi-source data mining, including urban road network data, riding order data, land use POI facilities and other data sources. Through the Voronoi diagram preliminary division, adding the space-time range, establishing the amendatory index system, and using ArcGIS spatial overlay to define the area scope, this paper puts forward a set of division method of rail transit station transfer influence area which can be defined by quantitative indicators. The research will provide decision support for the layout planning, design and construction of transfer facilities, promote the transformation of combined travel, and effectively promote the micro-circulation of the public transport system.

• Record URL:
  https://annualmeeting.mytrb.org/OnlineProgram/Details/15916
• Supplemental Notes:
  • This paper was sponsored by TRB committee ACH20 Standing Committee on Bicycle Transportation.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Zeng, Yu
  • Chen, Jun
  • Hao, Jun
• Conference:
  • Transportation Research Board 100th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2021-1-5 to 2021-1-29
• Date: 2021

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 18p

Subject/Index Terms

• TRT Terms: Bicycles; Data mining; Decision support systems; Geographic information systems; Infrastructure; Rail transit; Transfers; Vehicle sharing
• Identifier Terms: ArcGIS
• Geographic Terms: Nanjing (China)
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Terminals and Facilities;

Filing Info

• Accession Number: 01764287
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-01124
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 11:00AM