Short answer

Prioritize sparse forest designs with controlled enclosure and shading, and moderate waterfront and square spaces, while reducing dense forest areas to enhance elderly winter thermal comfort.

Field
Sustainability
Source
Land (2025)
Method
Mixed-methods research combining microclimate measurements, user surveys, and environmental simulations.
Sample
716 participants
Evidence
Strong effect

Strategic selection and arrangement of plant elements in urban green spaces can significantly enhance thermal comfort for elderly individuals during winter. This sustainability research insight is drawn from a 2025 study published in Land. Using Mixed-methods research combining microclimate measurements, user surveys, and environmental simulations. with 716 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize sparse forest designs with controlled enclosure and shading, and moderate waterfront and square spaces, while reducing dense forest areas to enhance elderly winter thermal comfort.

Study
SustainabilityNew This WeekStrong effect

Optimizing Urban Green Spaces for Elderly Winter Thermal Comfort Through Strategic Planting

Strategic selection and arrangement of plant elements in urban green spaces can significantly enhance thermal comfort for elderly individuals during winter.

Land · 2025

01

Key Findings

  • 01Sparse forests provided the best overall thermal comfort, while dense forests performed the worst.
  • 02Wind speed and humidity were identified as key drivers of both subjective and objective thermal comfort.
  • 03Optimal scoring thresholds for thermal comfort varied significantly across different landscape space types (waterfront, square, sparse forest, dense forest).
  • 04Design optimization should prioritize controlling enclosure and shading, followed by canopy closure and evergreen ratio, and finally refining tree traits.
02

Application

Design takeaway

Prioritize sparse forest designs with controlled enclosure and shading, and moderate waterfront and square spaces, while reducing dense forest areas to enhance elderly winter thermal comfort.

How to apply

When designing or retrofitting urban parks, consider the specific needs of elderly users by analyzing microclimate data and implementing planting strategies that favor open, sheltered spaces with moderate vegetation density.

Project actions

  • 01When researching user comfort, consider both objective measurements (like temperature) and subjective feedback (how people feel).
  • 02Use simulations to test design ideas before implementing them physically.
03

Method & Evidence

AimHow can the design and configuration of plant elements within urban landscape spaces be optimized to improve the winter thermal comfort of elderly individuals?
MethodMixed-methods research combining microclimate measurements, user surveys, and environmental simulations.
ProcedureResearchers analyzed 30 landscape sites across different types (waterfront, square, dense forest, sparse forest) in two Beijing parks. They collected microclimate data, conducted questionnaires with 716 elderly participants, and used scoring evaluations, PET field data, and ENVI-met simulations to assess thermal comfort. A scoring system was developed based on plant density, traits, and spatial features.
Sample716 participants
ContextUrban parks in Beijing, China, focusing on winter conditions for elderly users.

Variables

IV["Plant density","Plant height","Crown spread","Canopy closure","Structure","Enclosure","Evergreen coverage","Landscape space type (waterfront, square, dense forest, sparse forest)"]
DV["Subjective thermal comfort (user perception)","Objective thermal comfort (PET data, microclimate measurements)"]
CV["Season (winter)","Time of day","Location (Beijing parks)","Participant demographic (elderly individuals)"]
04

Strengths & Limitations

Strengths

  • +Combines objective environmental data with subjective user feedback.
  • +Utilizes simulation tools for a more comprehensive analysis.
  • +Provides quantitative guidelines and optimization strategies.

Limitations

It can be challenging to control all microclimate variables in a real-world setting, and participant numbers might be smaller than in large-scale studies.

Reliability & validity

The study's reliability is supported by the use of standardized measurement tools and simulations. Validity is enhanced by combining objective data with subjective user feedback and analyzing multiple sites and user groups.

Think critically

How might the 'ideal' planting strategy for elderly thermal comfort conflict with other design goals, such as biodiversity or aesthetic appeal, and how could these conflicts be resolved?

05

Design Principles

"Thermal comfort in urban green spaces is a design parameter that can be quantitatively influenced by the strategic arrangement and type of vegetation."

As urban populations age, ensuring the usability and comfort of public spaces is paramount for promoting active lifestyles and well-being. This research offers a data-driven approach to designing age-friendly environments by directly linking landscape features to tangible user comfort, moving beyond aesthetic considerations to functional performance.

06

What This Means for Your Design

To make parks comfy for older people in winter, plant trees strategically. Open, sheltered areas with not too many trees are best, while very dense forests are too cold and windy.

How to use in your project

  • 1.Use the findings to justify design choices related to user comfort and environmental performance in your design project.
  • 2.Reference the quantitative scoring system as a method for evaluating design solutions.
07

Add to My Project

08

Quick Cite

Paragraph starter

This design project aims to enhance user comfort by drawing on research that demonstrates the significant impact of landscape design on thermal conditions. Specifically, studies like Lu et al. (2025) highlight that strategic planting, such as favoring sparse forests with controlled enclosure and shading, can optimize thermal comfort for elderly individuals in urban winter environments. This informs the design by prioritizing specific vegetation configurations and spatial layouts to create more functional and user-friendly outdoor spaces.

09

Source

Land

Optimization of Thermal Comfort Evaluation for Elderly Individuals in Winter Urban Parks Based on Plant Elements Within Landscape Spaces—Taking Beijing Zizhuyuan and Taoranting Parks as Examples

journal · 2025

View source

Questions About This Research

What does the research say about optimizing urban green spaces for elderly winter thermal comfort through strategic planting?
Prioritize sparse forest designs with controlled enclosure and shading, and moderate waterfront and square spaces, while reducing dense forest areas to enhance elderly winter thermal comfort. Evidence: Land (2025).
Why does "Optimizing Urban Green Spaces for Elderly Winter Thermal Comfort Through Strategic Planting" matter for design?
As urban populations age, ensuring the usability and comfort of public spaces is paramount for promoting active lifestyles and well-being. This research offers a data-driven approach to designing age-friendly environments by directly linking landscape features to tangible user comfort, moving beyond aesthetic considerations to functional performance.
How can designers apply this research?
Prioritize sparse forest designs with controlled enclosure and shading, and moderate waterfront and square spaces, while reducing dense forest areas to enhance elderly winter thermal comfort.
What were the main findings?
Sparse forests provided the best overall thermal comfort, while dense forests performed the worst.. Wind speed and humidity were identified as key drivers of both subjective and objective thermal comfort.. Optimal scoring thresholds for thermal comfort varied significantly across different landscape space types (waterfront, square, sparse forest, dense forest).. Design optimization should prioritize controlling enclosure and shading, followed by canopy closure and evergreen ratio, and finally refining tree traits.
What research method was used?
Mixed-methods research combining microclimate measurements, user surveys, and environmental simulations. with 716 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2025 journal from Land.
What should I do differently in my next project?
When designing or retrofitting urban parks, consider the specific needs of elderly users by analyzing microclimate data and implementing planting strategies that favor open, sheltered spaces with moderate vegetation density.
What are the limitations?
The study was conducted in Beijing during winter, and findings may vary in different climates or seasons. The subjective perceptions of comfort can also be influenced by individual factors not fully captured.