Statistical Analysis of Passenger Flow Characteristics at Shanghai Pudong International Airport

The landside transportation system of an airport terminal is important for both passengers and the airport as it influence passengers' overall airport experiences and level of service of air transportation. This paper focuses on landside passenger characteristics and factors that influence the quality of passenger's experiences. Data collection occurred through questionnaire methods of 1010 passengers' at Shanghai Pudong international departure terminals. The findings provide an understanding of main composition and features of landside passenger flow. This new knowledge will assist in improving passenger airport experiences by improving the landside transportation system.

• Record URL:
  • https://doi.org/10.1061/9780784413159.395
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413159
• Supplemental Notes:
  • © 2013 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Huang, Canbin
  • Ye, Xinchen
  • Yang, Xiaoguang
• Conference:
  • Fourth International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2013-10-19 to 2013-10-20
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2714-2721
• Monograph Title: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation

Subject/Index Terms

• TRT Terms: Airport terminals; Airports; Landside operations (Ports); Level of service; Questionnaires; Statistical analysis
• Identifier Terms: Shanghai Pudong International Airport
• Uncontrolled Terms: Passenger flow
• Geographic Terms: Shanghai (China)
• Subject Areas: Aviation; Operations and Traffic Management; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01520232
• Record Type: Publication
• ISBN: 9780784413159
• Files: TRIS, ASCE
• Created Date: Mar 27 2014 12:33PM