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Market Preferences of Different Operators of Long-Term Rental Apartments in a Fuzzy Environment

Buildings (Basel), 2023-06, Vol.13 (6), p.1418 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2075-5309 ;EISSN: 2075-5309 ;DOI: 10.3390/buildings13061418

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  • Title:
    Market Preferences of Different Operators of Long-Term Rental Apartments in a Fuzzy Environment
  • Author: Zhou, Guangxia ; Li, Changyou ; Wang, Jiapeng ; Wu, Jingyan
  • Subjects: apartment operators ; Apartments ; China ; Decision making ; Fuzzy logic ; Fuzzy sets ; Housing needs ; Identification methods ; Investments ; long-term rental apartments ; Operators ; Optimization ; Public housing ; Pythagorean fuzzy ; Real estate ; Real property ; Rentals ; Supply and demand ; Tenants
  • Is Part Of: Buildings (Basel), 2023-06, Vol.13 (6), p.1418
  • Description: The long-term rental apartment market in China is steadily growing to be a trillion-dollar sector, but excessive market growth can lead to several issues. Due to the high demand for long-term rentals, many investors will enter the market. Nevertheless, without direction and supervision, it is simple to overdevelop the supply of long-term rentals, which would have negative effects on the real estate market. Long-term rental apartments involve a variety of companies, and it is vital that we drive their beneficial growth. To provide other operators with a comparison to find flaws, enhance improvements, and prevent irrationally increasing the stock, this paper uses the Pythagorean fuzzy decision-making method to identify the most well-liked long-term rental apartment operators and the most significant rental needs of tenants in the market environment. The results of the study show that real estate developers’ flats are the most popular among the four major operators, and that C4: Providing emotional value, C7: Ability to resist risk and C8: Ability to prevent social incidents are aspects that tenants value more than others. The results of the study provide real estate operators with directions for optimization, provide other operators with criteria for improvement, prevent blind increases in rental stock and provide operators with a healthy competitive environment, which is of great significance to the healthy development of long-term rental apartments in China.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2075-5309
    EISSN: 2075-5309
    DOI: 10.3390/buildings13061418
  • Source: AUTh Library subscriptions: ProQuest Central
    ROAD: Directory of Open Access Scholarly Resources
    DOAJ Directory of Open Access Journals
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