A GIS - Based Location Selection Method for Prefabricated Component Factory

Yang Sun () and Zhiqi Gong
Additional contact information
Yang Sun: Qinghai University
Zhiqi Gong: Qinghai University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 1114-1121 from Springer

Abstract: Abstract With the promotion of prefabricated buildings in our country, the number of prefabricated buildings and prefabricated component factories has increased year by year, and some areas have appeared the phenomenon of overcapacity or short supply. In order to avoid the huge losses caused by the above situation, based on the general product demand forecast, combined with literature review and research, this study will use GIS technology to conduct spatial analysis from the market, transportation and cost factors, and obtain the best centralized demand point through buffer analysis and weighted overlay analysis, then predict the demand of the demand point. Based on the determination process of prefabricated component demand point in the main urban area of Xining city, the demand area of prefabricated components is centralized to make the demand area more accurate. The results show that the method has high accuracy and good applicability, which can provide help and reference for the location decision of prefabricated plant in this area.

Keywords: Prefabricated building; Component requirements; GIS; Site selection (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_87

Ordering information: This item can be ordered from
http://www.springer.com/9789811952562

DOI: 10.1007/978-981-19-5256-2_87

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().