Simulation modelling of the municipal sanatorium-tourist branch
Clicks: 175
ID: 98187
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
175 views
24 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #237 of 300 articles by views in matec web of conferences
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 300 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This issue is devoted to urban dynamics research and modelling of Sochi resort region. Sochi is a Russian resort city, situated near the southern Russian border. Under current conditions, there is a need to work out new approaches to management that can aim at expanding the city’s capacity to develop itself and enhance the quality of life of its residents. One of them is the use of long-term forecasting in the practice of the city’s government, which would align the interests of the city’s business, authorities, and residents. The imitation modelling method ensures the iterative process of developing the model which is characterized by the gradual broadening of knowledge about the system with the participation of experts and specialists in the domain area. The imitation model for the city does not provide an optimum solution unlike the classic solution for optimization objectives, but it is an auxiliary means, convenient to use for local self-government officials, of searching for solutions to certain issues related to the city’s social-economic development. On this model were made several computational experiments, and scenario analysis, which results can provide the decision maker with the needed information and forecast data.
| Reference Key |
andrey2018simulationmatec
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Andrey, Kopyrin; |
| Journal | matec web of conferences |
| Year | 2018 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.