Mode choice modelling of work trips using latent variables for a medium-sized city in India

Decline in the use of public transit by commuters have increased the use of private vehicles, causing higher levels of traffic congestion, accidents, etc. The present study aims to identify major latent attributes influencing the behaviour of government employees working in the study area by using an integrated mode choice model. The unobservable attributes that influence mode selection decisions were analysed using the semantic differential technique and a five-point bipolar adjective scale. Conventional mode choice models and latent variable integrated mode choice models were developed for four different modes. Sensitivity analysis was carried out to assess the impact of significant variables which has revealed that 15% decrease in travel time on public transport could lead to a 17% increase in ridership. This study also identified significant variables that influence mode selection decisions and formulated policies to increase the use of public transport in medium-sized cities.

• Record URL:
  • https://doi.org/10.1080/03081060.2024.2337078
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Supplemental Notes:
  • © 2024 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Shaheem, S
  • Sreelekshmi, S
  • Radhakrishnan, Nisha
  • Anjaneyulu, M V L R
  • Mathew, Samson
• Publication Date: 2024-10

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1068-1091
• Serial:
  • Transportation Planning and Technology
  • Volume: 47
  • Issue Number: 7
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: https://www.tandfonline.com/toc/gtpt20/current

Subject/Index Terms

• TRT Terms: Commuting; Mode choice; Ridership; Traffic congestion
• Geographic Terms: India
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01938948
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 9 2024 9:54AM