2000Journal of the Korean Society of Civil EngineersRequires access

Route Choice SP Model Considering Revealed Preference and Latent Variables on Inter-Urban

Soo-Lyeon Sung, Kwan‐Woo Kim, Kweon-Soo Moon

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Preference, Latent variable, Discrete choice, Revealed preference, Computer science, Travel behavior, Factor (programming language), Latent variable model

Related papers

Back to paper searchBrowse research topicsOriginal source
Route Choice SP Model Considering Revealed Preference and Latent Variables on Inter-Urban — Research Paper | ScholarLens