Modeling Passenger Mode Choice in Tiruchirappalli City: A Regression Analysis Using Stated Preference Data
Keywords:
Mode choice analysis, Logistic regression, Multinomial logit model, Passenger opinion survey, Correlation for mode chosen, Analysis of travellers’ choice.Abstract
The choice of transportation by passengers is vital for urban transportation forecasting and planning in any city. Mode choice represents the third stage in the planning process and significantly influences a traveler's decision-making. Predicting future travel demand relies on modal shares. To analyze mode choice in a city, the efficiency of passenger travel in urban areas is considered. This study examines the behavior of travelers when selecting a mode for various types of trips in Tiruchirappalli city. The evaluation involves the characteristic features of travelers and uses household survey data collected from the Tiruchirappalli Corporation areas, as well as from bus and railway stations, to gather information on intercity travel between Tiruchirappalli and Chennai. The survey was conducted on both weekdays and weekends. A mode choice model was developed using SPSS and NLOGIT 3.0 software, with multinomial logistic regression applied to analyze the mode choice behavior of travelers and their selected modes for intercity travel in Tiruchirappalli city. This investigation utilized Spearman’s correlation, multinomial logistic regression analysis, and the Likelihood Ratio test to identify the preferred mode choice of passengers in Tiruchirappalli. The SPSS analysis concluded that for intercity travel, a higher percentage of passengers from Tiruchirappalli prefer buses over trains. The NLOGIT software tool was used to model work trips, shopping trips, and educational trips, evaluating mode choice across different trip purposes. Based on the characteristics of trip frequency and the purpose of the journey, bus travel emerged as the most popular choice among passengers for intercity travel, compared to trains in Tiruchirappalli.
