Abstract
This paper studies travelers’ context-dependent route choice behavior in a risky trafficnetwork from a long-term perspective, focusing on the effect of travelers’ salience characteristics. In particular, a flow-dependent salience theory is proposed for this analysis, where the flow denotes the traffic flow on the risky route. In the proposed model, travelers’ attention is drawn to the salient travel utility, and the objective probabilities of the state of the world are replaced by the decision weights distorted in favor of this salient travel utility. A long-run user equilibrium will be achieved when no traveler can improve his or her salient travel utility by unilaterally changing routes, termed salient user equilibrium, which extends the scope of the Wardropian user equilibrium. Furthermore, we prove the existence and uniqueness of this salient user equilibrium. Finally, numerical studies demonstrate our theoretical findings. The equilibrium results show non-intuitive insights into travelers’ route choice behavior. (1) Travelers can be risk-seeking (the travel utility of a risky route is small with a relatively high probability), risk-neutral (in special situations), or risk-averse (the travel utility of a risky route is large with a relatively high probability), which depends on the salient state. (2) The extent of travelers’ risk-seeking or risk-averse behavior depends on their extent of salience bias, while the risk-neutral behavior is irrelative to this salience bias.
Highlights
Travelers’ route choice behavior modeling plays a fundamental role in the traffic assignment of a conventional four-stage transportation planning method
[32] and our paper both involve travelers’ context-dependent characteristics, ours has the following differences from their work. They focus on the context-dependent value of time, while we study travelers’ context-dependent route choice behavior
We focus on the salience characteristic and, we adopt the salience theory proposed in [35] to study travelers’ salient route choice behavior
Summary
Travelers’ route choice behavior modeling plays a fundamental role in the traffic assignment of a conventional four-stage transportation planning method. Our study belongs to the scope of decision-making under risk Another key assumption in Wardrop’s user equilibrium principle is that travelers are rational decision makers. They have no cognitive limitation regarding information on the traffic network, and can formulate some mathematical formulations and optimize them, e.g., to minimize the travel time or to maximize the travel utility. We focus on the salience characteristic and, we adopt the salience theory proposed in [35] to study travelers’ salient route choice behavior. Based on the salience theory, we propose a new method to study travelers’ route choice behavior in a risky traffic network.
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