Route Choice SP Model Considering Revealed Preference and Latent Variables on Inter-Urban
Soo-Lyeon Sung, Kwan‐Woo Kim, Kweon-Soo Moon
Abstract
Soo-Lyeon Sung, Kwan‐Woo Kim, Kweon-Soo Moon
Abstract
The Information System of Inter-urban transportation provides dynamic traffic information such as travel time and cost. Drivers can obtain real-time travel information from various information system and from on-road travel information boards while they're driving so that drivers can choose the most appropriate route to get their destination. In this study, Stated Preference (SP) survey about Highway and State Road has been done to see the factors for selecting the best alternative, and to check experientially the driver's route choice behavior it is researched that how much Revealed Preference (RP) influences SP to explain it. More over, the change of driver's route choice behavior has been studied when latent factors in RP and road image variables are considered. Furthermore, it has been realized that driver's SP route choice behavior is influenced by RP because of the improvement of model explanation as a result of building Discrete choice model which is formed from reflecting RP to SP to inquire into state dependence influence. At last, model explanation in discrete choice model considered latent factor is getting improved so that it is certain that latent factor variables can influence driver's route choice behavior.
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The Information System of Inter-urban transportation provides dynamic traffic information such as travel time and cost. Drivers can obtain real-time travel information from various information system and from on-road travel information boards while they're driving so that drivers can choose the most appropriate route to get their destination. In this study, Stated Preference (SP) survey about Highway and State Road has been done to see the factors for selecting the best alternative, and to check experientially the driver's route choice behavior it is researched that how much Revealed Preference (RP) influences SP to explain it. More over, the change of driver's route choice behavior has been studied when latent factors in RP and road image variables are considered. Furthermore, it has been realized that driver's SP route choice behavior is influenced by RP because of the improvement of model explanation as a result of building Discrete choice model which is formed from reflecting RP to SP to inquire into state dependence influence. At last, model explanation in discrete choice model considered latent factor is getting improved so that it is certain that latent factor variables can influence driver's route choice behavior.
Key concepts: Preference, Latent variable, Discrete choice, Revealed preference, Computer science, Travel behavior, Factor (programming language), Latent variable model