Short answer

Designers should focus on creating paths with gentle slopes, abundant shade, and comfortable, shock-absorbent surfaces to maximize their appeal and use by older adults.

Field
Human Factors
Source
Urban forestry & urban greening (2023)
Method
Choice-Based Conjoint Analysis (CBC) with Hierarchical Bayes (HB) analysis
Sample
383 participants
Evidence
Strong effect

Older adults prioritize gentle gradients, abundant shade, and smooth, shock-absorbent surfaces when choosing walking paths in parks, significantly influencing their engagement in physical activity. This human factors research insight is drawn from a 2023 study published in Urban forestry & urban greening. Using Choice-based conjoint analysis (cbc) with hierarchical bayes (hb) analysis with 383 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should focus on creating paths with gentle slopes, abundant shade, and comfortable, shock-absorbent surfaces to maximize their appeal and use by older adults.

Study
Human FactorsRecentStrong effect

Gentle slopes, ample shade, and rubberized surfaces are paramount for older adults' park path preferences.

Older adults prioritize gentle gradients, abundant shade, and smooth, shock-absorbent surfaces when choosing walking paths in parks, significantly influencing their engagement in physical activity.

Urban forestry & urban greening · 2023

01

Key Findings

  • 01The gradient of the path was the most important feature (21.3% importance).
  • 02Shady trees along the path were the second most important feature (21.2% importance).
  • 03Surface type was the third most important feature (13.3% importance).
  • 04Preferred gradients were gentle slopes, preferred shade was abundant, and preferred surfaces were rubberized.
02

Application

Design takeaway

Designers should focus on creating paths with gentle slopes, abundant shade, and comfortable, shock-absorbent surfaces to maximize their appeal and use by older adults.

How to apply

When planning new park developments or retrofitting existing ones, use these findings to guide decisions on path gradients, tree canopy coverage, and surface materials, especially in areas frequented by older adults.

Project actions

  • 01When researching user preferences, use methods like conjoint analysis to understand the relative importance of different design features.
  • 02Consider segmenting your user group to see if preferences differ based on factors like age, gender, or mobility.
03

Method & Evidence

AimWhat are the most important micro-level design characteristics of walking paths for older adults to promote walking in parks, and how do these preferences vary by demographic factors?
MethodChoice-Based Conjoint Analysis (CBC) with Hierarchical Bayes (HB) analysis
ProcedureParticipants evaluated various combinations of walking path design features and indicated their preferences. Hierarchical Bayes analysis was then used to estimate the relative importance and utility of each feature.
Sample383 participants
ContextPark design and public space accessibility for older adults.

Variables

IV["Gradient of the path","Presence of shady trees","Surface type","Width of the path","Presence of benches","Presence of garden beds","Presence of water body","Presence of light fixtures","Continuous walking loop","Access from carpark"]
DVRelative importance scores and part-worth utilities of walking path design features.
CV["Gender","Park accompaniment","Mobility status"]
04

Strengths & Limitations

Strengths

  • +Utilizes a robust statistical method (Hierarchical Bayes) for analyzing conjoint data.
  • +Examines a comprehensive set of micro-level design features relevant to walking paths.
  • +Includes a large and relevant sample of older adults.

Limitations

The study's findings might not apply to all older adults, as individual preferences and mobility can vary greatly. The online survey format may also limit the ecological validity of the results.

Reliability & validity

The use of Hierarchical Bayes analysis in conjoint studies generally provides good reliability for estimating part-worth utilities. Validity is supported by the study's focus on real-world design features and a relevant participant group.

Think critically

How might the importance of these features change in different climates or park settings (e.g., urban vs. rural)?

05

Design Principles

"Prioritize comfort, accessibility, and safety in public space design by understanding and integrating the specific needs and preferences of target user groups, particularly older adults."

Understanding these specific micro-level design preferences is crucial for landscape architects, urban planners, and designers aiming to create inclusive and accessible public spaces. Prioritizing these features can directly impact the usability and appeal of parks for a growing demographic, encouraging greater physical activity and well-being.

06

What This Means for Your Design

Older people really care about how steep a park path is, how much shade there is from trees, and what the path is made of. Gentle slopes, lots of shade, and rubbery paths are their top choices.

How to use in your project

  • 1.Use this study to justify the selection of specific design features in your project, especially if targeting older users or promoting physical activity.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research by Paudel et al. (2023) highlights that for older adults, the gradient, presence of shady trees, and surface type of walking paths are critical design considerations, with gentle slopes, ample shade, and rubberized surfaces being highly preferred. These findings underscore the importance of prioritizing user-centric design elements that enhance comfort and accessibility in public spaces.

09

Source

Urban forestry & urban greening

Understanding the relative importance of micro-level design characteristics of walking paths in parks to promote walking among older adults

journal · 2023

View source

Questions About This Research

What does the research say about gentle slopes, ample shade, and rubberized surfaces are paramount for older adults' park path preferences?
Designers should focus on creating paths with gentle slopes, abundant shade, and comfortable, shock-absorbent surfaces to maximize their appeal and use by older adults. Evidence: Urban forestry & urban greening (2023).
Why does "Gentle slopes, ample shade, and rubberized surfaces are paramount for older adults' park path preferences." matter for design?
Understanding these specific micro-level design preferences is crucial for landscape architects, urban planners, and designers aiming to create inclusive and accessible public spaces. Prioritizing these features can directly impact the usability and appeal of parks for a growing demographic, encouraging greater physical activity and well-being.
How can designers apply this research?
Designers should focus on creating paths with gentle slopes, abundant shade, and comfortable, shock-absorbent surfaces to maximize their appeal and use by older adults.
What were the main findings?
The gradient of the path was the most important feature (21.3% importance).. Shady trees along the path were the second most important feature (21.2% importance).. Surface type was the third most important feature (13.3% importance).. Preferred gradients were gentle slopes, preferred shade was abundant, and preferred surfaces were rubberized.
What research method was used?
Choice-Based Conjoint Analysis (CBC) with Hierarchical Bayes (HB) analysis with 383 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Urban forestry & urban greening.
What should I do differently in my next project?
When planning new park developments or retrofitting existing ones, use these findings to guide decisions on path gradients, tree canopy coverage, and surface materials, especially in areas frequented by older adults.
What are the limitations?
Preferences may vary in different environmental contexts or cultural settings. The study was conducted online, which might not fully replicate real-world decision-making.