Design of a Space Environmental Fund Simulation Model Considering Taxable Objects using a System Dynamics Approach

Tsuyoshi Shikida, Akihiko Nishino, Naohiko Kohtake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The presence of space debris, consisting of upper stages of launch vehicles and inactive satellites, poses a significant threat to active satellites. Active Debris Removal (ADR) is proposed as a solution to mitigate the increasing amount of space debris. The purpose of this research is to clarify the prior funding system. Then, the relationship between launch vehicles, spacecraft, space debris, and ADR, as well as its funding source, was elucidated using system dynamics. Then, two models were then simulated under various conditions: one imposing a tax on launch vehicle capacity and the other imposing a tax on spacecraft. The results indicated that the latter model is more effective in mitigating space environment congestion.

Original languageEnglish
Title of host publicationConference Proceeding - 23rd International Symposium on Communications and Information Technologies, ISCIT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages259-264
Number of pages6
ISBN (Electronic)9798350353952
DOIs
Publication statusPublished - 2024
Event23rd International Symposium on Communications and Information Technologies, ISCIT 2024 - Hybrid, Bangkok, Thailand
Duration: 2024 Sept 232024 Sept 25

Publication series

NameConference Proceeding - 23rd International Symposium on Communications and Information Technologies, ISCIT 2024

Conference

Conference23rd International Symposium on Communications and Information Technologies, ISCIT 2024
Country/TerritoryThailand
CityHybrid, Bangkok
Period24/9/2324/9/25

Keywords

  • Active Debris Removal
  • Satellites
  • Space Debris
  • System Dynamics
  • Taxation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

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