Understanding rail commuting market segments in Britain through latent class analysis

This paper presents a new characterization of rail commuters in Britain based on a latent categorical analysis of land use/built form clusters at both the home and workplace ends, whilst controlling for demographic and socio-economic profiles. The findings reveal non-linear effects, which highlights the unique value of latent classification. This study is built on the latent cluster analysis presented in the authors' TRB2018 paper to examine the evolution of the interdependencies surrounding travel demand over time and space. This paper further expands the previous work by including, for the first time, built form characteristics at the workplace. The significant differences among the rail commuter clusters provide concrete geographical characterization of the evolving contexts across Britain for influencing rail commuting. The findings show that the rapid growth in GB rail commuting since the late 1990s may have much to do with factors external to the rail industry, and there are two countervailing trends going forward, making the outcome highly uncertain.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Jahanshahi, Kaveh
  • Williams, Ian
  • Jin, Ying
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 7p

Subject/Index Terms

• TRT Terms: Built environment; Cluster analysis; Commuters; Commuting; Land use; Location; Market segmented groups; Railroad travel; Residential location; Travel demand; Workplaces
• Geographic Terms: United Kingdom
• Subject Areas: Planning and Forecasting; Public Transportation; Railroads;

Filing Info

• Accession Number: 01697540
• Record Type: Publication
• Report/Paper Numbers: 19-04627
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM