Modeling travel mode choice behavior for planned special events using CPT-based HI-MADM approach
Document Type
Journal Article
Publication Date
2025
Subject Area
place - asia, place - urban, planning - surveys, ridership - behaviour, ridership - demand, ridership - mode choice, ridership - modelling
Keywords
Planned special events, mode choice, cumulative prospect theory, multiple-attribute decision-making, risk attitude, hybrid information
Abstract
Planned special events (PSEs) can significantly increase traffic demand, posing greater challenges than daily operations. In response, host cities often invest heavily in transportation upgrades. This study proposes a model integrating cumulative prospect theory (CPT) and multiple-attribute decision-making to understand mode choice behavior of PSE attendees. This integration enables direct extraction of traveler preference information, offering a more suitable description of the decision-making process. The decision matrix considers mode and attribute heterogeneity. The reference point for CPT is derived from previous PSE trips or commutes. Furthermore, this paper assesses asymmetric nonlinear sensitivity and distorted perceptions of different attributes. Analysis of mode-choice behavior for PSE participation, using survey data from Tianjin, China, validates the approach. It better characterizes PSE choice behaviors and demonstrates varying sensitivity to gains and losses, dependent on different attributes and distances. Thus, event planners should prioritize improving travel time and convenience to increase public transport mode share.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Cui, H., Sun, W., Zhu, M., Ma, X., & Xie, J. (2025). Modeling travel mode choice behavior for planned special events using CPT-based HI-MADM approach. Transportation Letters, 17(3), 406-422.
