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THESIS ABSTRACT

Mode Choice Modeling of Work Trips: A Case of Hetauda Sub-Metropolitan City

Mode Choice Modeling of Work Trips: A Case of Hetauda Sub-Metropolitan City

Student: Swastika Bhattarai

Supervisor: Er. Rajesh Khadka

Submitted Date: September, 2024

Abstract

Transportation planning is essential in modern society, particularly for urban areas facing challenges such as traffic congestion during peak hours. Mode choice modeling is a crucial component of transportation planning, as it allows planners to predict the behavior of travelers and make informed decisions regarding transportation policies. This study focuses on the work trips of commuters in Hetauda Sub-Metropolitan City, Nepal, and develops a mode choice model to predict the utility of different transportation modes. Data for this study were collected through Revealed Preference survey with questionnaire. The analysis was conducted in mlogit package of RStudio software, employing a nested logit model to evaluate the factors influencing mode choice. Two-Wheeler is found to be most used mode of transport by working commuters. Gender, age, marital status, occupation, monthly income, vehicle ownership, distance, travel cost and travel time are determined to be significant variables using Chi-square test. Travel time, travel cost, age, occupation, vehicle ownership and trip distance are statistically significant variables on mode choice of Auto in relation to Two-Wheeler. Travel time, travel cost, occupation, income and trip distance are statistically significant variables on mode choice of Four-Wheeler in relation to Two-Wheeler. Similarly, travel time, travel cost, age, vehicle ownership and trip distance are statistically significant variables on mode choice of Magic Van in relation to Two-Wheeler. The result of inclusive value parameters showed that Public mode nesting structure has high dissimilarity in comparison to Private mode. Most of the working commuters depend on private mode for travel within city, so there is need for policies that enhance the attractiveness of public modes to ensure effective and efficient future urban transportation planning.

Keywords

Mode choice, Work trip, Revealed Preference, Nested logit model, RStudio