Mode choice modelling of work trips using latent variables for a medium-sized city in India
Document Type
Journal Article
Publication Date
2024
Subject Area
place - asia, ridership - commuting, ridership - mode choice, ridership - modelling
Keywords
Mode choice model, exploratory factor analysis, confirmatory factor analysis, latent variables, public transport, sensitivity analysis
Abstract
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.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Shaheem, S., Sreelekshmi, S., Radhakrishnan, N., Anjaneyulu, M. V. L. R., & Mathew, S. (2024). Mode choice modelling of work trips using latent variables for a medium-sized city in India. Transportation Planning and Technology, 47(7), 1068-1091.
