Key Factors Analysis of Facilities and Services of Age-Friendly Community in Guangzhou

Fan Wu and Yingyan Zeng ()
Additional contact information
Fan Wu: South China University of Technology
Yingyan Zeng: South China University of Technology

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 193-206 from Springer

Abstract: Abstract Under the circumstance of population aging at an accelerated pace, aging in place is the mainstream of China. The residential environment will directly affect senior citizens’ quality of life. By studying the living conditions and demands of the elderly in Guangzhou, it can be concluded that existing communities are not suitable enough for elderly to live in. By determining 16 factors of age-friendly community, and assigning weights to these factors based on the quantitative KANO model, the paper establishes an evaluation system for existing residential community facilities and services in Guangzhou. Factors were classified based on the KANO model into must-be quality factors, one-dimensional quality factors, attractive quality factors, indifferent quality factors and critical quality factors. Community age-friendly modification suggestions were made to construction phase and operating phase respectively. Emergency facilities, green landscapes, fitness and sports venue, amenity, life supporting facilities and intelligent/smart care services are pointed out as the key of modification.

Keywords: Aging in place; Age-friendly community; KANO model; Evaluation system (search for similar items in EconPapers)
Date: 2021
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:sprchp:978-981-15-8892-1_14

Ordering information: This item can be ordered from
http://www.springer.com/9789811588921

DOI: 10.1007/978-981-15-8892-1_14

Access Statistics for this chapter

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