Total views : 345

Study on effect Size of Walking Speed According to Corridor Shape


  • School of Architectural, Civil, Environmental, and Energy Engineering, Kyungpook National University, Korea, Republic of
  • Department of Architecture, Jeju National University, Korea, Republic of
  • Department of Fire Protection Engineering, Pukyung National University, Korea, Republic of
  • Department of Fire Protection Engineering, Changshin University, Korea, Republic of


Background/Objectives: The walking speed is not steady and is influenced by corridor shapes. Most of evacuation simulations are using fixed walking speed, and it possible to cause an erroneous value. Methods/Statistical Analysis: In order to determine the changes and influence of walking speed depending on the shape of the pathway and the type of the crossroads, the maze-set experiment is conducted. Total 30 participants recruit as experimental subjects, and ratio of gender is same (male: 15, female: 15). The experimental site has 5 types of crossroad and all pathways of participants recorded that used experimental cameras. Findings: The average walking speed of participants is 1.08 m/s (male: 1.12 m/s, female: 1.04). The result of walking speed is lower than speed in general situation which is 1.40m/s and can form the hypothesis on walking speed affected by corridor shapes. The walking speed change by each shape corridor has meaningful difference. Based on this, the cause of different walking speed estimates that corridor shape has various effect sizes and through one-way ANOVA, it can compute by using eta squared. Application/Improvements: Corridor shapes used in paper is not representing as all of actual building. From the result, however, walking speed is not fixed value and interacts with corridor shapes.


Corridor Shape, Effect Size, Maze-set Experiment, One-way ANOVA, Walking Speed.

Full Text:

 |  (PDF views: 224)


  • Prestopnik JL, Roskos–Ewoldsen B. The relations among wayfinding strategy use, sense of direction, sex, familiarity, and wayfinding ability. J Environ Psychol. 2000; 20(2):177–91.
  • Fruin J. Designing for Pedestrians: A Level-of-Service Concept. New York Metropolitan Association of Urban Designers and Environmental Planners. Highway Research Record. 1971(355).
  • Browning RC, Baker EA, Herron JA, Kram R. Effects of obesity and sex on the energetic cost and preferred speed of walking. J Appl Physiol. 1985; 100(2):390–8.
  • Levine RV, Norenzayan A. The pace of life in 31 countries. Journal of cross-cultural psychology. 1999; 30(2):178–205.
  • Daamen W. Modelling passenger flows in public transport facilities. Doctoral Thesis, Delft University of Technology; 2004.
  • Zhang J, Klingsch W, Schadschneider A, Seyfried A. Transitions in pedestrian fundamental diagrams of straight corridors and T-junctions. Journal of Statistical Mechanics: Theory and Experiment. 2011; 2011(06):P06004.
  • Jong-Yeong S, Soo-Ho L, Jun-Ho C. Won-Hwa H. A study on the emergency light cognitive effects according to background luminance using regression analysis. Journal of Asian Urban Environment. 2015; 12(1):379–82.
  • Levine TR, Hullett CR. Eta squared, partial eta squared, and misreporting of effect size in communication research. Human Communication Research. 2002; 28(4):612–25.
  • Eun-Myeong J, Jun-Ho C, Won-Hwa H. Analysis on characteristics of human behavior and cognitive effects according to types of egress route instruction in a large-scale mazy facility. Journal of the Architectural Institute of Korea (planning and design). 2011; 27(10):51–8.
  • Kyu-Hun J, Soo-Ho L, Ju-Ho C, Won-Hwa H. A study on the corner walking speed for drawing pedestrian characteristics in indoor space. Proceeding of Spring Annual Conference of KHA. 2013; 25(1). p. 203–6.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.