Journal of Tourism & Hospitality
Open Access

Abstract

Demand Forecasting for Interstate Trip Based on Toll Pricing

Mohammad Zana Majidi*

This paper explores the effects of toll pricing on demand forecasting for interstate trips, with a focus on commuter behavior regarding travel mode choice, route selection and departure times. Using a mixed logit model, the study analyzes data from a survey of 921 commuters on the Tehran-Saveh freeway. The findings indicate that increases in toll prices significantly influence commuters' decisions to alter their travel modes, change routes and adjust departure times, particularly during peak hours. The review highlights the critical role of toll pricing in traffic management and its potential to reduce congestion and environmental impacts. Additionally, the study underscores the importance of considering socioeconomic factors, as lower-income groups are disproportionately affected by toll increases. The implications for transportation policy suggest that dynamic toll pricing, coupled with equitable measures, can optimize traffic flow and promote sustainable urban mobility.

Published Date: 2025-06-19; Received Date: 2024-07-22