Correlation of Construction Workers’ Movement and Direct Work Rates

TY - JOUR

T1 - Correlation of Construction Workers’ Movement and Direct Work Rates

AU - Wandahl, Søren

AU - Perez, Cristina Toca

AU - Salling, Stephanie Therkelsen

AU - Neve, Hasse Højgaard

PY - 2023/4

Y1 - 2023/4

N2 - The Work Sampling (WS) technique, used worldwide to understand how workers spend their time, represents a time-consuming and costly activity. Therefore, several researchers work on different approaches to automate the data collection using sensor-based and vision-based technologies. The challenge of all the sensor-based approaches is that they do not provide the share of time in different work categories. The lack of knowledge on a possible correlation between Direct Work and, e.g., presence, location, or worker movement represents a gap in the current body of knowledge. Thus, this research aims to understand the correlation between Direct Work as the independent predictor variable; and Movement as the dependent response variable. The authors used the data gathered through the application of WS in five case studies on building renovation projects in Denmark. To explain this correlation. The authors selected a combination of four quantitative techniques: (1) curve estimation; (2) linear regression; (3) ANOVA analysis; and (4) t-test. The correlation of the result is discussed considering three assumptions: (1) the structure of the day; (2) global vs. local; and (3) Movement vs. Transporting and Walking. The result shows a significant correlation between Direct Work and Movement with an average R 2 of 0.328. This is considered acceptable predictability taking the socio-technical system aspect of a construction site into account.

AB - The Work Sampling (WS) technique, used worldwide to understand how workers spend their time, represents a time-consuming and costly activity. Therefore, several researchers work on different approaches to automate the data collection using sensor-based and vision-based technologies. The challenge of all the sensor-based approaches is that they do not provide the share of time in different work categories. The lack of knowledge on a possible correlation between Direct Work and, e.g., presence, location, or worker movement represents a gap in the current body of knowledge. Thus, this research aims to understand the correlation between Direct Work as the independent predictor variable; and Movement as the dependent response variable. The authors used the data gathered through the application of WS in five case studies on building renovation projects in Denmark. To explain this correlation. The authors selected a combination of four quantitative techniques: (1) curve estimation; (2) linear regression; (3) ANOVA analysis; and (4) t-test. The correlation of the result is discussed considering three assumptions: (1) the structure of the day; (2) global vs. local; and (3) Movement vs. Transporting and Walking. The result shows a significant correlation between Direct Work and Movement with an average R 2 of 0.328. This is considered acceptable predictability taking the socio-technical system aspect of a construction site into account.

KW - Construction

KW - efficiency

KW - transporting

KW - walking

KW - work sampling

UR - http://www.scopus.com/inward/record.url?scp=85165630843&partnerID=8YFLogxK

U2 - 10.32738/JEPPM-2023-0013

DO - 10.32738/JEPPM-2023-0013

M3 - Journal article

SN - 2223-8379

VL - 13

SP - 125

EP - 137

JO - Journal of Engineering, Project, and Production Management

JF - Journal of Engineering, Project, and Production Management

IS - 2

ER -