Transit commuting market investigation using the latent segmentation approach

This study employs a latent segmentation approach to investigate the commuting market, with focus on the usage of public transit. The factor–cluster analysis technique is used to systematically deal with multi-dimensional psychological statements, and then segment the whole sample into homogenous groups. A six-cluster solution is arrived, each with distinct combinations of latent factors, including attitude, perception, habit, and intention to use public transit. On account of the unique psychological profile of each segment, related measures and strategies are proposed to promote the choice of public transit for each sub-segment. The results demonstrate that individuals within different segments must be treated in different ways since their behavior are motivated by different factors.

• Record URL:
  • https://doi.org/10.1016/j.tbs.2014.11.001
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2214367X14000428
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/2214367X
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Fu, Xuemei
  • Juan, ZhiCai
• Publication Date: 2015-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: References; Tables;
• Pagination: pp 102-108
• Serial:
  • Travel Behaviour and Society
  • Volume: 2
  • Issue Number: 2
  • Publisher: Elsevier
  • ISSN: 2214-367X
  • Serial URL: http://www.sciencedirect.com/science/journal/2214367X

Subject/Index Terms

• TRT Terms: Attitudes; Cluster analysis; Commuting; Factor analysis; Markets; Public transit
• Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01558410
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 31 2015 8:53AM