A Review of the Livability Assessment Framework for Urban Old Residential Communities
DOI: 10.23977/socsam.2026.070109 | Downloads: 0 | Views: 37
Author(s)
Yufei Wang 1
Affiliation(s)
1 Faculty of Geography, Yunnan Normal University, Kunming, China
Corresponding Author
Yufei WangABSTRACT
Renewal of old residential communities is an important means of improving the living environment in the stage of urban stock development. A scientific and operational livability assessment framework provides a basis for identifying renewal deficiencies, defining renovation priorities, and examining implementation outcomes. This review synthesizes research on livability assessment frameworks for old residential communities, with emphasis on assessment concepts, dimensional composition, indicator systems, data methods, and practical application. Research has expanded from early physical assessments focused on housing quality, infrastructure, and environmental remediation to comprehensive assessments that incorporate public services, public space, residents' perceptions, social relations, and community governance. The integration of multi-source spatial data, street-view imagery, and resident-satisfaction surveys has improved the granularity and dynamic capacity of assessment. Existing studies continue to face fragmented indicator systems, insufficient integration of objective and subjective evidence, difficulties in cross-scale conversion, and limited contextual adaptation. Future work should establish a multidimensional framework centered on environmental quality, service accessibility, residents' perceptions, and governance and maintenance, and develop an application loop of assessment, diagnosis, optimization, and feedback to provide more targeted support for the renewal of old residential communities.
KEYWORDS
Old residential communities; Livability; Assessment framework; Indicator system; Residents' perceptions; Urban renewalCITE THIS PAPER
Yufei Wang. A Review of the Livability Assessment Framework for Urban Old Residential Communities. Social Security and Administration Management (2026). Vol. 7, No. 1, 70-75. DOI: http://dx.doi.org/10.23977/socsam.2026.070109.
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