Asset Details
Do you wish to reserve the book?
A Value Evaluation Method of Traffic Data Assets with Data Element Transactions Based on Game Theory
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A Value Evaluation Method of Traffic Data Assets with Data Element Transactions Based on Game Theory
Do you wish to request the book?
A Value Evaluation Method of Traffic Data Assets with Data Element Transactions Based on Game Theory
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
A Value Evaluation Method of Traffic Data Assets with Data Element Transactions Based on Game Theory
2025
Overview
In the digital economy era, the value of data elements has grown significantly, especially in the transportation sector, which boasts an extensive repository of transportation data assets. This study proposes a Stackelberg game-theoretic pricing model to optimize the utilization of these data elements. The model delves into the complexities of trading transportation data assets, exploring unique market trading strategies and pricing mechanisms. Focusing on a marketplace with a single seller and multiple buyers, the seller preprocesses data for platform distribution while devising strategic actions, simultaneously aligning with buyers' acquisition strategies. Leveraging the interplay between buyers and sellers, the model employs backward induction to demonstrate the existence and uniqueness of the game solution, followed by a comprehensive numerical analysis. The results indicate that data quality and market risks significantly influence unit pricing, transaction volumes, and the profits of all stakeholders. This method seeks to improve the accuracy of transportation data asset valuation by integrating essential data elements pertinent to trading entities. It provides a robust theoretical foundation for the management and decision-making processes related to transportation data assets.
Publisher
International Association of Engineers
Subject
