Location-based measurement and visualization for interdependence network on construction sites

Xincong Yang, Xiaowei Luo, Heng Li, Xiaochun Luo, Hongling Guo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


To do this, project managers need to objectively and effectively measure and visualize the spatiotemporal orders of real construction process as well as coordination structure of the workforce. However, currently there is no method/tool available to project managers to represent spatiotemporal orders of construction processes. To address this issue, this paper presents a novel approach to measuring the real spatiotemporal order of onsite tasks as well as the task interdependence by an interdependence network. This approach extracts the distance of workspace distributions as a key interdependence indicator from historical location tracks across different construction stages according to the area-restricted nature of construction activities. It then integrates generated interdependence into a network over time, to imply the cooperation patterns in stages and a task delivery across stages with a holistic view. To validate the approach, location data were collected from 31 workers working in a high-rise housing construction project for one week to construct the interdependence network of this project, which was used to quantitatively evaluate the performance of construction schedule, assignments and cooperation. Results show that the interdependence network is able to provide insightful information on how workers perform individual tasks onsite and it is also an effective tool to identify and display the interactions among site workers.
Original languageEnglish
Pages (from-to)36-45
Number of pages10
JournalAdvanced Engineering Informatics
Publication statusPublished - 1 Oct 2017


  • Construction activities
  • Interdependence network
  • Location-based service
  • Quantitative measurement

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence


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