Residential environment index system and evaluation model established by subjective and objective methods

Area of Science:

• Environmental Science
• Urban Planning
• Data Science

Background:

• Evaluating residential environment quality is crucial for urban development and resident well-being.
• Existing methods often lack integration between subjective resident perceptions and objective environmental data.

Purpose of the Study:

• To establish a comprehensive residential environment index system and evaluation model.
• To integrate subjective and objective data for a more robust assessment.
• To provide a foundational database for urban planning and policy-making.

Main Methods:

• Analysis of methodologies for residential environment evaluation.
• Development of a subjective evaluation database via questionnaire surveys.
• Construction of an objective evaluation database using Geographic Information System (GIS).
• Application of multiple regression analysis to establish relationships between subjective and objective data.

Main Results:

• Successful establishment of an integrated residential environment index system and evaluation model.
• Development of a strong correlation between subjective evaluations and objective environmental data.
• Creation of a comprehensive, efficient, and effective methodology for residential environment assessment.

Conclusions:

• The developed index system and model offer a holistic approach to evaluating residential environments.
• This methodology provides valuable data for urban planners and policymakers.
• The integration of subjective and objective data enhances the reliability and applicability of residential environment assessments.