A REGIONAL PLANNING SYSTEM BASED ON ARTIFICIAL INTELLIGENCE CONCEPTS

2005 ◽  
Vol 55 (1) ◽  
pp. 135-154
Author(s):  
Etele Baráth ◽  
Iván Futó
Keyword(s):  
Artificial Intelligence ◽  
Regional Planning ◽  
Planning System

scholarly journals Spatial planning vs territorial planning – Areas of concern of the content of regional planning types

2021 ◽  
Vol 19 (10) ◽  
pp. 1897-1914
Author(s):  
Kseniya Yu. PROSKURNOVA
Keyword(s):  
Comparative Analysis ◽  
Regional Planning ◽  
Spatial Planning ◽  
Planning System ◽  
Territorial Planning ◽  
Planning Methods ◽  
Areas Of Concern

Subject. This article discusses the issues of creating a planning system to improve the efficiency of cooperation between planning entities. Objectives. The article aims to study the features of application and specific characteristics of spatial and territorial planning. Methods. For the study, I used a comparative analysis. Results. The article finds that interpretations of the concepts of spatial and territorial planning used in Russian and foreign practice and research differ. Some authors confuse the two types of planning and use the relevant terms as synonyms, others distinguish the use of these types of planning in practice. Conclusions. The article concludes that spatial planning in comparison with territorial one, includes a larger number of elements. Spatial planning can form the basis to create a system of cooperation between neighboring regions.

CARPS: Computer Assisted Regional Planning System

1977 ◽  
Vol 10 (7) ◽  
pp. 609-616 ◽  
Author(s):  
Masaaki Ohkohchi ◽  
Masahiro Udo
Keyword(s):  
Regional Planning ◽  
Planning System ◽  
Computer Assisted

scholarly journals Using Artificial Intelligence and Machine Learning to Create a Travel Planning System Based on Users' Preferences and Behaviours

2021 ◽  
Author(s):  
Trang Bui
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Large Datasets ◽  
Planning System ◽  
The Internet ◽  
Travel Planning ◽  
Travel And Tourism ◽  
Mode Of Transportation

Travel and tourism have become a worldwide trend, and the market for this industry continues to grow extensively. Although most people enjoy traveling, planning trips can take hours, weeks or even months to ensure the best place, the best itinerary, and the best price is found. With Artificial Intelligence (AI) and Machine Learning (ML), large datasets can be analyzed and an AI-infused travel system can be utilized to generate highly personalized suggestions. The main purpose of the project is to create a travel planning application to provide an efficient and highly personalized experience for users. The app will help users plan their trips, choose activities, restaurants, mode of transportation and destinations that fit their preferences, budgets, and schedules in minutes without having to spend hours researching on the Internet or downloading multiple travel apps.

Sign in / Sign up

Export Citation Format

Share Document