Do Trip Length Models Effectively Account for the Trade-Off Between Speed and Cost for Daily Commuters?

This study evaluates the effectiveness of trip length models in capturing the trade-off between speed and cost for daily commuters in Guwahati, India. Trip length models are crucial in transportation planning, predicting travel distances based on various factors. Traditional models often used fixed cost coefficients, assuming a direct relationship between trip length and cost. Recent models incorporate utility-based approaches, integrating both travel time and monetary cost. This study uses a mixed-method approach, combining quantitative and qualitative research techniques. A detailed questionnaire survey gathered data from 420 respondents, focusing on factors influencing trip length, speed, and cost. The findings indicate a predominant preference for two-wheelers, with work trips being the most common purpose. Females are found to be more centric toward electric vehicles (EVs) than males. The study examines mode-specific trip costs and preferences among commuters, revealing a higher preference for two-wheelers and cars for longer distances. The study highlights the economic efficiency of bicycles and e-rickshaws for shorter trips, while buses and e-buses are more economical for public transport. The results show that trip lengths in Guwahati are generally between 1 and 7 km, with an average trip length of 5.69 km. Understanding the limitations and strengths of current trip length models can help stakeholders develop more accurate tools for forecasting travel patterns, optimizing transportation networks, and making informed decisions on infrastructure investments and policy interventions.