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Using smartwatches to understand the relationship between construction workers’ travelled distance and time spent on direct work
Construction production processes are, in general, improved by removing non-value-adding activities. This includes reducing workers' movements (walking) for transportation, inspections, etc. This research analyses the relationship between construction workers' travelled distance and time spent on Direct Work (DW) at a construction site. An exploratory case study of the tasks performed by the carpenter trade was conducted. Several sources of evidence, tools, and techniques were adopted: (a) direct observation to characterize the main activities; (b) Work Sampling (WS) technique to estimate the distribution of work time spent on different activities; (c) smartwatches to collect the data on construction workers' travelled distance on the site during workhours; and (d) questionnaire application to collect workers' perception of using the smartwatches. The relationship between distance travelled by workers and the time spent on DW was tested using linear regression analysis. The results indicate DW is indirectly correlated to how much workers walk on the construction site (R=0.445). This study presents a pioneering use of data gathered from smartwatches as a tool for collecting workers' travelled distance. The use of smartwatches has the potential implication to automate the data collection to estimate the time spent on DW based on travelled distances.
Using smartwatches to understand the relationship between construction workers’ travelled distance and time spent on direct work
Construction production processes are, in general, improved by removing non-value-adding activities. This includes reducing workers' movements (walking) for transportation, inspections, etc. This research analyses the relationship between construction workers' travelled distance and time spent on Direct Work (DW) at a construction site. An exploratory case study of the tasks performed by the carpenter trade was conducted. Several sources of evidence, tools, and techniques were adopted: (a) direct observation to characterize the main activities; (b) Work Sampling (WS) technique to estimate the distribution of work time spent on different activities; (c) smartwatches to collect the data on construction workers' travelled distance on the site during workhours; and (d) questionnaire application to collect workers' perception of using the smartwatches. The relationship between distance travelled by workers and the time spent on DW was tested using linear regression analysis. The results indicate DW is indirectly correlated to how much workers walk on the construction site (R=0.445). This study presents a pioneering use of data gathered from smartwatches as a tool for collecting workers' travelled distance. The use of smartwatches has the potential implication to automate the data collection to estimate the time spent on DW based on travelled distances.
Using smartwatches to understand the relationship between construction workers’ travelled distance and time spent on direct work
Perez, Cristina Toca (author) / Salling, Stephanie (author) / Wandahl, Søren (author)
2022-01-01
Perez , C T , Salling , S & Wandahl , S 2022 , ' Using smartwatches to understand the relationship between construction workers’ travelled distance and time spent on direct work ' , I O P Conference Series: Earth and Environmental Science , vol. 1101 , no. 8 , 082009 . https://doi.org/10.1088/1755-1315/1101/8/082009
Article (Journal)
Electronic Resource
English
DDC:
690
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