International Journal for Housing Science and Its Applications
Published by International Association for Housing Science
ISSN : 0146-6518
Abbreviation : Int. J. Hous. Sci. It Appl.
Aims & Scope
The world is facing a major dormant housing crisis.
It will create economic, social and political changes.
It is time to give a high priority to housing studies, planning and production in the development programs of every nation.
The uncontrolled population increases, migration from rural to urban areas, and decay of existing housing units are the major reasons behind the urgent need for more and better housing.
This is a universal trend which is affecting every community.
The prediction of an United Nations study is that during the next thirty years, the world's population will increase by 3.5 billion.
Assuming five persons per family, this growth in population will translate into 600 million new homes next thirty years, or twenty million per year.
This is a difficult task to achieve.
Housing science will be the base of all innovations needed to establish a successful approach to a permanent solution.
The International Journal for Housing Science and Its Applications, with its multi and inter-disciplinary concepts, is dedicated to achieve the objective of providing better living environment through the dissemination of scientific and technological knowledge.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.106 |
Quartile
Year | Value |
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2024 | Q4 |
h-index
Year | Value |
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2024 | 13 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting and Engineering, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Research on soft decoration matching and design elements in architectural interior design based on deep learning
Citation: 1
Authors: Xia, Bin
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A Strategic Study on the Planning of Accommodation Facilities in Tourist Attractions to Enhance Tourist Experience
Citation: 1
Authors: Yang, Yang
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A Study on Spatial Differentiation of Urban Land Prices Based on Geographically Weighted Regression Models
Citation: 0
Authors: Qiuyu, Lina, Hui, Huangzhen, Yakai, Yan