Short answer

Incorporate detailed thermal comfort modelling, considering solar radiation and the cooling effects of vegetation, when designing outdoor environments for physical activity.

Field
Modelling
Source
The Atrium (University of Guelph) (2011)
Method
Simulation and Field Study
Sample
Not explicitly stated for the field tests, but implied to be sufficient for statistical analysis.
Evidence
Strong effect

The COMFA human energy budget model, when enhanced with a multi-segmented skin temperature approach and considerations for clothing and metabolic variations, accurately predicts thermal comfort for individuals engaged in outdoor physical activities. This modelling research insight is drawn from a 2011 study published in The Atrium (University of Guelph). Using Simulation and field study with Not explicitly stated for the field tests, but implied to be sufficient for statistical analysis., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate detailed thermal comfort modelling, considering solar radiation and the cooling effects of vegetation, when designing outdoor environments for physical activity.

Study
ModellingHigh ImpactStrong effect

COMFA Model Accurately Predicts Outdoor Thermal Comfort During Physical Activity

The COMFA human energy budget model, when enhanced with a multi-segmented skin temperature approach and considerations for clothing and metabolic variations, accurately predicts thermal comfort for individuals engaged in outdoor physical activities.

The Atrium (University of Guelph) · 2011

01

Key Findings

  • 01The enhanced COMFA model accurately predicted mean skin temperature (r = 0.859, p<0.01).
  • 02Model predictions showed strong agreement with actual thermal sensation votes (r_s = 0.507 and 0.517, p<0.01).
  • 03Solar radiation was a stronger correlate of energy budgets than air temperature in urban spaces (r = 0.941 vs. r = 0.490).
  • 04Treed greenspace significantly enhanced thermal comfort, decreasing energy budgets by an average of 25.5 Wm^2.
02

Application

Design takeaway

Incorporate detailed thermal comfort modelling, considering solar radiation and the cooling effects of vegetation, when designing outdoor environments for physical activity.

How to apply

Utilize the COMFA model or similar thermal comfort simulation tools during the design process to assess and enhance the thermal performance of outdoor public spaces, sports facilities, and urban planning projects.

Project actions

  • 01When modelling thermal comfort, consider both direct solar radiation and the impact of shading from built elements and vegetation.
  • 02If conducting physical activity studies, ensure accurate measurement of metabolic rate and clothing insulation.
03

Method & Evidence

AimTo critically review, assess, and apply the COMFA human energy budget model for predicting outdoor thermal comfort during physical activity, incorporating advancements in skin temperature modelling, human behavior, and urban environmental factors.
MethodSimulation and Field Study
ProcedureThe study involved enhancing the COMFA model with a multi-segmented skin temperature approach, incorporating clothing and metabolic variations, and testing its accuracy against field data. Field tests involved participants performing cycling and running activities, with measurements of mean skin temperature. The model's predictions were compared to actual thermal sensation votes and environmental data, including solar radiation and the moderating effects of urban parks.
SampleNot explicitly stated for the field tests, but implied to be sufficient for statistical analysis.
ContextOutdoor environments, urban spaces, health and emergency preparedness, physical activity.

Variables

IV["Solar radiation","Air temperature","Wind speed and angle","Clothing insulation","Metabolic rate"]
DV["Mean skin temperature (T_sk)","Actual thermal sensation (ATS)"]
CV["Duration of physical activity","Intensity of physical activity (moderately intense)","Type of physical activity (cycling, running)"]
04

Strengths & Limitations

Strengths

  • +Application of an improved multi-segmented skin temperature approach.
  • +Validation against field data for both skin temperature and thermal sensation.
  • +Investigation of urban park effects and extreme heat scenarios.

Limitations

The model's accuracy may vary with different types of physical activity, clothing ensembles, and extreme weather conditions not tested.

Reliability & validity

The study demonstrates strong reliability and validity through high correlation coefficients (r=0.859 for T_sk, r_s=0.507/0.517 for ATS) between model predictions and empirical measurements.

Think critically

How might the accuracy of the COMFA model be affected by variations in individual physiology, acclimatization to heat, or different types of physical exertion beyond cycling and running?

05

Design Principles

"Outdoor thermal comfort is a dynamic interplay of environmental factors, human physiology, and activity level, which can be accurately modelled and improved through strategic design interventions."

Understanding and predicting thermal comfort during physical exertion is crucial for designing safe and effective outdoor environments. This research provides a validated modelling tool that can inform urban planning, sports facility design, and public health strategies related to heat stress.

06

What This Means for Your Design

This study shows that a computer model called COMFA can accurately predict how hot or cold people feel when they are exercising outside. It found that sunshine and trees in parks make a big difference to how comfortable people feel.

How to use in your project

  • 1.Use the validated COMFA model to predict the thermal comfort of a proposed design for an outdoor recreational space, justifying design choices based on simulation results.
07

Add to My Project

08

Quick Cite

Paragraph starter

The COMFA human energy budget model, as validated in this research, offers a robust tool for simulating outdoor thermal comfort during physical activity. Its accuracy in predicting skin temperature and thermal sensation, particularly its strong correlation with solar radiation and the significant cooling effect of treed greenspaces, provides valuable insights for designing healthier and more resilient urban environments.

09

Source

The Atrium (University of Guelph)

Modelling outdoor thermal comfort of humans performing physical activity: applications to health and emergency heat stress preparedness

journal · 2011

View source

Questions About This Research

What does the research say about comfa model accurately predicts outdoor thermal comfort during physical activity?
Incorporate detailed thermal comfort modelling, considering solar radiation and the cooling effects of vegetation, when designing outdoor environments for physical activity. Evidence: The Atrium (University of Guelph) (2011).
Why does "COMFA Model Accurately Predicts Outdoor Thermal Comfort During Physical Activity" matter for design?
Understanding and predicting thermal comfort during physical exertion is crucial for designing safe and effective outdoor environments. This research provides a validated modelling tool that can inform urban planning, sports facility design, and public health strategies related to heat stress.
How can designers apply this research?
Incorporate detailed thermal comfort modelling, considering solar radiation and the cooling effects of vegetation, when designing outdoor environments for physical activity.
What were the main findings?
The enhanced COMFA model accurately predicted mean skin temperature (r = 0.859, p<0.01).. Model predictions showed strong agreement with actual thermal sensation votes (r_s = 0.507 and 0.517, p<0.01).. Solar radiation was a stronger correlate of energy budgets than air temperature in urban spaces (r = 0.941 vs. r = 0.490).. Treed greenspace significantly enhanced thermal comfort, decreasing energy budgets by an average of 25.5 Wm^2.
What research method was used?
Simulation and Field Study with Not explicitly stated for the field tests, but implied to be sufficient for statistical analysis..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2011 journal from The Atrium (University of Guelph).
What should I do differently in my next project?
Utilize the COMFA model or similar thermal comfort simulation tools during the design process to assess and enhance the thermal performance of outdoor public spaces, sports facilities, and urban planning projects.
What are the limitations?
The specific sample size and demographic details of the field test participants were not fully detailed. The study focused on specific types of moderate-intensity activity.