Suitability evaluation method of urban and rural spatial planning based on artificial intelligence

Journal of Intelligent Systems 31 (1):245-259 (2022)
  Copy   BIBTEX

Abstract

In order to realize the sustainable development of urban overall space, aiming at the increasingly serious environmental problems in the process of contemporary rapid urbanization, based on the relationship between urban and rural space and environmental capacity, a suitability evaluation method of urban and rural spatial planning based on artificial intelligence is proposed. This paper constructs the theoretical system of sustainable development evaluation of urban and rural spatial resources and uses artificial intelligence technology to reasonably select evaluation factors and standardize the evaluation indicators so as to achieve the research goal of accurately evaluating the suitability of urban and rural spatial planning. It analyzes the influencing factors of urban–rural spatial standard regional division, develops the design of the spatial planning suitability analysis system, and establishes the urban-rural spatial suitability evaluation. The scope of sustainability evaluation was extended to the level of urban and rural spatial planning and design, and the preliminary work was done to solve the problems of urban spatial structure and decision-making. The experimental results show that the planning method has high environmental adaptability and rationality.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,654

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

A method of spatial reasoning based on qualitative trigonometry.Jiming Liu - 1998 - Artificial Intelligence 98 (1-2):137-168.
Rural urban migration and women in urban slums of karachi.Shagufta Nasreen & Asma Manzoor - 2017 - Journal of Social Sciences and Humanities 56 (2):81-91.

Analytics

Added to PP
2022-02-12

Downloads
10 (#1,210,980)

6 months
7 (#472,807)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references