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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>4D Simulation Considering Adjusted Schedules for Safety Planning in Hydroelectric Projects</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Michel Guévremont</string-name>
          <email>guevremont.michel@hydro.qc.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>P.Eng.</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Amin Hammad</string-name>
          <email>amin.hammad@concordia.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ph.D.</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Professor, Concordia Institute for Information Systems Engineering</institution>
          ,
          <addr-line>Concordia Univ., 1515 Sainte-Catherine St</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Scheduling Advisor</institution>
          ,
          <addr-line>Hydro-Québec, 855 Sainte-Catherine St. East, Montréal, QC</addr-line>
          ,
          <country country="CA">Canada</country>
          <addr-line>H2L 4P5; Ph.D. Student</addr-line>
          ,
          <institution>Concordia Institute for Information Systems Engineering</institution>
          ,
          <addr-line>Concordia Univ., 1515 Sainte-Catherine</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2017</year>
      </pub-date>
      <fpage>135</fpage>
      <lpage>144</lpage>
      <abstract>
        <p>The construction industry is known for numerous and severe accidents. For the hydroelectric industry, nine dominant critical risks have been identified in the construction phase. This paper aims to develop a 4D simulation technique to minimize potential accidents at different phases of a project considering different 4D levels of development (4D-LOD). The proposed method integrates safety planning with 4D simulation in the hydroelectric industry. Specific risks for this industry include working near water and live energy sources. Statistical analysis of historical safety issues impacting schedules is used to identify potential safety risks. Then, 4D simulation is used to visualize construction operations at low and then high 4D-LOD. As a predictive tool, 4D simulation scenarios can be evaluated in relation to the number of risky activities considering their periods and zones, which can be prioritized and visualized. Case studies are presented to support the method involving subprojects of powerhouses.</p>
      </abstract>
      <kwd-group>
        <kwd>4D simulation</kwd>
        <kwd>safety</kwd>
        <kwd>BIM</kwd>
        <kwd>hydroelectric company</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        The construction industry is known for dangerous projects and being the source of numerous and
severe accidents.
        <xref ref-type="bibr" rid="ref5">Leite (2018)</xref>
        mentioned that construction remains the second most hazardous
industry especially due to the dangerous combination of pedestrian workers and heavy
construction vehicles and machinery, such as dump trucks, dozers, and rollers. In construction
projects of new facilities and maintenance projects of old ones, safety risks are a major concern
for hydroelectric companies. The industry involves fast-paced projects, which can lead to a lack
of planning and scheduling. In the hydro-electrical industry, the nine most critical risks in
worksites are observed as patterns as shown in Figure 1: (1) moving vehicles, (2) energy sources
(e.g. induction), (3) working-at-heights, (4) lifting operations, (5) water presence, (6) confined
spaces, (7) excavations and unstable grounds and rocks, (8) unstable or falling objects and (9)
dangerous goods or substances. These risks will be described in detail in Section 3. To handle
these risks, the general intentions at the feasibility, construction or operation phase (in decreasing
order of impact) are to: eliminate the risk, reduce the risk (substitution), isolate employees from
the risk (engineering controls), modify the methods (administrative controls) and protect the
employees with the personal protective equipment (PPE). PPE can include boots, helmet, face
mask, working gloves, visibility vest, fire resistant suit, ear plugs, respiratory masks, etc.
As mentioned by
        <xref ref-type="bibr" rid="ref6">Leite et al. (2016)</xref>
        , although the benefits of the simulation modeling to the
construction industry are widely acknowledged (such as visualization), large-scale adoption is
still challenging because of existing barriers, such as budgetary constraints, insufficient training,
uncertain effectiveness, cultural issues and limited expertise. Safety can be an integrated aspect
of normal operations and considered in early planning and scheduling. 4D simulation provides
spatio-temporal representations of objects based on scheduling and space planning. The 4D
simulations presented in this paper are more than an animation as the schedule integration is
linked with the 3D model. 4D simulation is helpful for detecting safety risks. Objects such as
workspaces, equipments (e.g. vehicles) and materials are prepared in the 3D model and later
manually linked with the schedule in the 4D simulation. This paper aims to develop a 4D
simulation technique to minimize potential accidents at different phases (e.g. early in the
prefeasibility or in the construction phase) of a project considering different levels of development
(4D-LOD). The objective is to provide a method for integrating safety planning in adjusted
schedules for enhanced 4D simulation in the context of the hydro-electrical industry. The
developed method integrates 3D modeling and visualization techniques of safety simulation that
were validated in actual construction projects. The safety context can be continuously evaluated
with the 4D simulation and it will be shown in the case studies. The paper first explores the
related work in the next section. Then, the 4D simulation method specific to safety planning is
described. This is followed with case studies where the method has been tested. The 4D
simulation general process was described in Guevremont (2017) and the 4D-LOD of such 4D
simulation are described in Guevremont and Hammad (2019).
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Related Work</title>
    </sec>
    <sec id="sec-3">
      <title>2.1. Safety Planning with 4D Simulation</title>
      <p>
        Limited research considered 4D simulation for safety in a general manner. Most previous efforts
focused on the use of sensors or modeling equipment and related worker proximity risks.
Hammad et al. (2012) listed spatial information related to prevention program for safety. They
included protection against falling (guardrail and safety net), housekeeping and means of access
(storage area and temporary access), scaffolding and shoring, confined spaces and tanks,
electricity with overhead or proximity of power lines, reserved work spaces and proximity for
heavy machinery, and barriers and fences for trenches and excavations. They tested the
guardrails and collision prevention with 4D models. Guo et al. (2012) demonstrated the use of
game technologies for improving construction safety training. The results of their interviews and
questionnaire survey about tower cranes, mobile cranes and pile drivers indicated five important
aspects of safety performance with advanced technologies: the ability of recognizing operations,
the ability to identify safety problems, the possibility of preventing safety problems, the ability to
improve collaboration among operators, and the ability to improve operations’ processes.
        <xref ref-type="bibr" rid="ref4">Dawood et al. (2014)</xref>
        evaluated the use of 4D simulation in health and safety training to spot
safety hazards (e.g. missing railings, obstruction, poor storage, etc.) and the way users interacted
with the 4D model. They concluded that 4D simulation approaches can improve users’
engagement and affect their abilities to spot health and safety hazards. Hazards were modeled
and linked with the project schedule to emulate an evolving construction environment. Teo et al.
(2016) looked at the safety aspect of BIM to determine a safety index and enhance safety
performance. From a survey, they evaluated contractors, architectural, engineering and surveying
firms about their safety practices and mentioned the potential of BIM in improving safety with
hazard identification, pre-project planning, clash detection, location tracking, conformance to
performance standards and regulations, safety monitoring using actual construction site data, and
safety simulation. The system they developed has rule checking, hazard checking, control
measures, safety evaluation and planning, and monitoring. Guo et al. (2017) reviewed 78 articles
on the use of visualization for construction safety management. They found that visualization
technology, such as 4D simulation, can improve safety management by aiding safety training,
job hazard area (JHA) identification and onsite safety monitoring and warnings. They focused on
the automatic identification of falls from height, spatial collision, layout of protection guards,
and measures for potential structural collapse. Zou et al. (2017) reviewed risk management
through BIM and BIM-related technologies. They mentioned the latest efforts with automatic
rule checking for working-at-heights and also described the lack of human factor testing.
Specifically about 4D simulation, they wrote that the benefits for risk management are
facilitating early risk identification and communication for improving construction management.
Zhou and Ding (2017) developed pictograms for hazard energy involved in deep excavation of
metro stations, such as radiant, heat, optical, electrical, gravitational, vibrational, explosive,
chemical, potential and strain energies.
        <xref ref-type="bibr" rid="ref2">Cheng et al. (2018</xref>
        ) developed a model to improve
evacuation performance in case of accidents to prevent serious fatalities and financial losses. To
minimize the total evacuation time, they considered evacuation model input, simulation
environment modeling, agent definition, simulation, comparison, environment sensing (emerging
accidents, herding behavior, communication) and dynamic escape path planning.
        <xref ref-type="bibr" rid="ref7">Synchro
Software (2019</xref>
        ) included safety management in 4D simulation with features, such as
highlighting design risks, communicating residual safety issues at the time of procurement,
adding early input for safety of construction workers at the pre-construction phase, and handover
of maintenance safety regimes and facility management planning. In the construction phase, they
created specific visual methods, visual toolbox, site inductions and VR safety training. They also
considered different safety events such as crush points, body positioning, confined spaces,
equipment, falls, fire, hoisting and rigging, ladders, line of fire, signage, tools, falling objects,
PPE, lockout-tag out and sharp edges. As a general limit, the previous works listed above has
provided great advancement for safety in simulation but lacked the scheduling impact
adjustments and considerations.
      </p>
    </sec>
    <sec id="sec-4">
      <title>2.2. Adjusting Schedules for Safety</title>
      <p>
        <xref ref-type="bibr" rid="ref1">Benjaoran and Bhokha (2010)</xref>
        inserted safety measures in schedules and 4D models for
workingat-height hazards. Their integrated system for safety proactively raised awareness about edges
and boundaries of columns, beams, slabs and walls. Zhang and Hu (2011) developed principles
and a methodology for structural safety analysis in 4D simulation for temporary structures. Their
safety analysis calculated indicators, forecast and warning; therefore enabling adjustment of
values such as workspaces for tower cranes. Their model uses a first level with rough bounding
boxes and a second level with detailed bounding boxes. They generated the child boxes (2nd
level) to avoid conflict and collisions. Kim and Teizer (2014) developed a rule-based system that
automatically plans temporary scaffolding systems to minimize code compliance problems,
inefficiencies and waste of procuring and managing material. Their system recognizes geometric
and non-geometric conditions that can be utilized in communication, billing of materials and
scheduling simulation. Interior and exterior scaffolding placement is based on schedule tasks,
building objects, and work faces. Their geometric reasoning tied building objects (faces) to work
faces and its performance was assessed with correctly identified, false positives and false
negatives. Zhang et al. (2015) developed 4D simulation with automatic addition of fall protective
systems (posts, railings, guardrails) at concrete slab edges by detection of holes. They added fall
hazard detection and prevention to BIM-based models. They observed the benefits of their
automated modeling approach, such as short time requirements, little safety related knowledge,
ease of updates and low 3D-LOD.
        <xref ref-type="bibr" rid="ref3">Choe and Leite (2017)</xref>
        developed a three-phase general
research process to generate work periods and work zones safety scores from risky activities.
From accident types and sources of injury, they conducted a case study to test and verify the data
they used with Synchro. It included general safety knowledge, and site-specific temporal and
spatial information. They mentioned that visual safety materials can enhance safety
communication among project participants. They aimed at answering which activities are
dangerous (risk quantification), when and where risky activities are planned (safety schedule)
and how risky activities can be effectively communicated (safety 4D simulation). They identified
the most dangerous days when the most activities were planned simultaneously in work zones
and visualized work zone risk with colors. They discussed that the method can help safety
managers develop a safety planning systematically (macro-level site-specific safety planning and
micro-level safety practices), and that the safety 4D simulation can increase safety
communication among project participants.
        <xref ref-type="bibr" rid="ref5">Leite (2018)</xref>
        mentioned that it is important to
integrate safety planning and project schedules to create more effective site-specific safety plans.
She brought the safety schedule aspect in 4D simulation including prioritizing risky activities.
However, she did not mention what are the risky activities and how to prioritize them based on
other elements than concurrent activities, number of workers, occupation types and zoning plan.
She also mentioned that the challenge lies on automating safety information representation. To
increase project planning performance, Germain and Drouin (2019) suggested a model to
introduce safety measures early in the feasibility phases of a project life cycle. They considered
safety impacts on planning and scheduling of a mega project with categorization of safety events,
lessons learned from past projects, performance analysis and negative patterns. The extension of
this work could include the ranking and causes of the negative patterns. The abovementioned
works suggested including safety activities in the project schedule (manually, with rule-based
algorithms or automatically) and eventually in the 4D simulation. However, they did not rank
the risk patterns in the context of 4D simulation for hydroelectric projects.
      </p>
    </sec>
    <sec id="sec-5">
      <title>3. Method</title>
      <p>The planned evolution of safety culture in companies could perhaps be summarized with 4 steps:
(1) no interest (reactive), (2) must do (viewed as a constraint to manage risks), (3) want to do
(viewed as a continuous process driven by management and politics), and (4) value in the ADN
of employees. In step 1, safety is not important and employees just do not want to get caught. In
step 2, the safety is still reactive and the company does the safety essential only after events. In
this step, the company uses systems in place to manage risks. In the 3rd step, safety is a
continuous process driven by management and corporate values of safety at work. In step 4,
safety is a value in the backbone of the company and employees. To support the safety culture
evolution related by the 4 steps above, Table 1 shows the nine most critical risks patterns for
hydroelectric powerhouse related work along with examples of specific items considered in the
4D simulation and their representation. Intangible benefits of these efforts are to raise
employee’s awareness of critical risks to save lives, prevent accidents and near-misses and to
enhance planning and working methods. The safety features exposed in Table 1 must be
evaluated at multiple periods during the course of a project and inserted into the schedule.
Colored (yellow) prisms for aerial lines and spillway
chute zones and red prisms for crane boom areas;
cylinders around transmission lines for minimal safety
distance for work zone (prohibited red zone) and work
zone under temporary instructions (yellow zone at 3 m
for &lt; 125 kV, at 5 m if between 125 kV and 55 kV, at 8
m if between 250 kV and 550 kV and at 12 m if &gt; 550
kV); induction represented on objects (yellow color)
Warning prism in zone or safety object modeling (plates
or nets); risk zone highlighted; handrails in concrete and
in stair cases; inspection of platforms
Colored moving object and colored adjacent and
underneath work zones with bounding box (prism) and
text for lifting procedure
Boat representation, warning zone with prims when
water is in proximity (e.g. 2 m) and text indicators for
required safety measures; show timing for diving
framework
Zone highlighted with bounding boxes (colored prism)
and text indicator for adequate procedure (e.g. text for
PPE)
Colored slopes and colored consolidation; roads to a
minimum distance of 3 m of slope abutment for
travelling and parking
Coloring object and/or highlighting proper safety zone
perimeter (e.g. underneath, in proximity); avalanche
fences; safety cables and locks; drop cones can be shown
at high 4D-LOD; Bounding boxes are used at lower
4DLOD. Another way to show a visual reminder to the 4D
user is to use a specific color code for dangerous objects
at height (e.g. highlight object itself or nearby objects).</p>
      <p>Colored bounding box (red prism) for preventive hose
with spray or shelters for workers with masks
The proposed method integrates safety planning with 4D simulation in the hydroelectric industry
is shown in Figure 2. Hereafter are specific safety comments about the steps of the proposed
method:
(1) Statistical analysis of historical safety issues impacting schedules are used to identify
potential safety risks.
(2) From the analysis at step (1) emerges negative safety patterns. As a predictive tool, 4D
simulation scenarios can be evaluated in relation to the number of risky activities considering
their work periods and zones, which can be prioritized and visualized. With the dynamic nature
of the construction jobsites, this can help choosing a feasible scenario considering the context of
the operations. The general 4D simulation method is explained in Guevremont and Hammad
(2018). Safety should be part of the normal operations and can be evaluated at the planning
process for temporal and spatial considerations. It must be considered from the planning and
scheduling normal process in the lifecycle of a project. Examples of negative patterns include
minimal safety distances (e.g. with water presence), workspaces with temporary measures,
dedicated work zones for energized areas or lifting areas, inspection of scaffolding, platforms
and cranes, and requirements of workers adapted individual PPE (e.g. flotation vest, gas
detectors).
(3-4) From the safety patterns emerge considerations and mitigation with tasks and objects. The
schedule can include information in specific codes to consider safety aspects such as type of
workspace, dimensions of workspace, shape control in relation to 4D-LOD, etc. Schedule
activities that are not represented in the 3D model can be questioned. In the schedule, steps of
installation or dismantling of equipment with sequencing and worker’s trades involved can be
represented as identified per the worker’s safety code. Work must be planned considering safety
including access, co-activity, site setup, safety rules and their impact on the schedule. Fast
tracking impact can be evaluated considering safety. The 9 patterns described in Table 1 can be
evaluated for consideration, prioritized and included in the schedule. Dangerous construction
activities are identified and mitigation measures are added to the schedules with new activities.
(5-6) A complete 4D simulation considering safety could visualize items such as: moving
equipment with required safety measures such as padlocks, storage areas added for good site
conditions, spreading of skid-proof materials. These safety considerations could be useful for
safety managers to review or audit a specific construction site. 4D simulation can integrate the
critical risks considering the development of time with 3D models to include Planning for Safety
(PfS) in 4D for workspaces (equipment, staff and storage).
(7-10) Early adjustments of 4D-LOD can be a useful and proactive tool for planning.
Characteristics of the schedule such as lags can impact 4D-LOD’s and visual output of the 4D
simulation. A low 4D-LOD or a mix of different 4D-LOD’s in simulations can typically include
numerous lags, generating numerous concurrent activities, and consequently being insufficient
for proper 4D safety simulation planning, and hence, could justify a higher 4D-LOD to be more
useful. Bounding box technique is usually at low 4D-LOD (A or B) while objects are used at
higher 4D-LOD (C, D or E). The bounding box is a preliminary stage. Color coding starts with
bounding box technique and depends on 4D-LOD. 4D simulation is used to visualize
construction operations at a high 4D-LOD (D or E). The description of the different 4D-LOD’s is
described in details in Guevremont and Hammad (2019). Modeling equipment movement (i.e.
translations and rotations) with respect to assigned safety workspaces and workers’ workspaces
can help planning the critical activities to meet the commissioning dates while considering
detailed and safe operations.
(11) The safety aspect of alternative construction methods can be evaluated in the planning
process considering potential spatiotemporal conflicts of workspaces in the 4D simulation. At the
design phase, the construction method is detailed to include timing considerations for the
sequence of activities. These activities with physical issues are included in the 4D simulation
with the bounding-box techniques, and color codes are used to illustrate workers hazards such as
dangerous sources of energy, elevated work issues, fall of objects, movement of vehicles, access
issues and co-activity of multiple contracts, projects or trades. A construction method could be
scored according to a 4D audit considering safety. With the dynamic nature of the construction
jobsites, this can help the choice of a scenario in the context of feasibility or for the operations.
(12) From a requirements analysis, safety elements are considered in 4D simulations of
hydroelectrical projects for measurement, training and communication. They can measure the
proximity of a road to an object (with a virtual arrow on the ground), identify the speed limits
(with signs), identify back-up areas (with floor delimitations), identify areas without pedestrians
(with signs, cones and barriers), identify walkways in pre-defined areas (with white lines in the
floor) and the perimeter of the construction site (with a fence). This can affects the reasoning to
help workers in training. With the intent of preventing accidents, the communication output and
share of this 4D simulation to other people can help visual training to safety department experts
and field personnel to enhance the timing of their safety planning, and thus, to avoid field issues.
This reinforces that the project challenges are not only technical demanding but need a good
socio-technological integration of people, processes and technologies and a good collaboration
with projects stakeholders. The identification and analysis of the risks helps project owners
eliminate the root cause of hazards as required by safety regulations.</p>
    </sec>
    <sec id="sec-6">
      <title>4. Case Studies</title>
      <p>Case studies presented in this section are from a utility in the province of Quebec and are used to
illustrate efficiency of the proposed method in powerhouse projects involving different
subprojects such as concreting, turbine-generator installation, overhead cranes and valves
dismantling and steel deck obstruction. Hydroelectric projects are complex and generate multiple
safety risks, which appear and disappear during the course of a project. The case studies used
visualization for elements (object themselves or safety mitigation) presented in the method from
risky activities in adjusted project schedule considering safety. The project schedules of Figure 3
and 4 have been adjusted to include specific risk patterns listed in Table 1 as described hereafter.
This has proven useful for visual inspection and safety planning with the virtual model. Colored
indicators are enabled for obstructions (potential conflicts or risks) or safety evaluation with
green, yellow and red values. Safety index with density of work obtained from the schedule and
are exposed considering time and space in the 4D simulation. A poor index result could require
enhancement of 4D-LOD in specific zones. In addition to the field personnel and management
team, safety teams from the site or the main office have been engaged early on these case studies
with early communications to help identify safety items to be planned for the respective projects.
In the feasibility phase, Figure 3 is related to safety measures in rehabilitation projects. Figure
3(a) demonstrates a 4D-LOD B with risk pattern 1 for a safety zone. The safety zone is related to
an electricity type (i.e. DC to AC) switch between two types of overhead cranes inside a
powerhouse and workers workspaces. Figure 3(b) presents a 4D-LOD D with a safety analysis of
bridge deck obstruction including an automated label for access of vehicles (risk pattern 1) from
the left shore to the powerhouse. This case involved working at heights on superior deck
rehabilitation (dismantling shown in red with two cranes for the lift) and in proximity of
upstream water, representing risk patterns 3, 4, 5 and 8. The downstream concrete work involves
shelters and masks (PPE) for workers when cutting and using silica fumes (risk pattern 9).
Figure 3: Safety measures for rehabilitation projects (a) 4D-LOD B with risk pattern 1, (b) 4D-LOD D
with risk patterns 1, 3, 4, 5, 8 and 9, (c) 4D-LOD E with risk patterns 2, 3, 4, 6 and 8.
Figure 3(c) presents a 4D-LOD E with highlighted colors for safety of moving heavy objects
(risk pattern 4 and 8) inside a powerhouse (e.g. lifting an eyelid valve) and stairs with handrails
protective systems (risk pattern 3). This work is performed in a small room (risk pattern 6) and
with live pipes and electricity (risk pattern 2). Specific durations considering safety are included
in the project schedule for these risk patterns. Figure 4 is related to safety measures in the
construction phase for new facilities. Figure 4(a) shows concrete pours in a new hydroelectric
powerhouse at 4D-LOD C. Specifically, safety related precautions that must be considered at the
time of mobilisation are displayed. Actions include guardrails installation as per the regulation
code to prevent falls from heights (risk pattern 3) and avalanche fences installation prior to
concreting activities at these high locations (risk pattern 8). Other colours show pouring of
concrete in magenta and anchor installation in cyan (risk pattern 7) to secure existing rock faces.
Figure 4(b) shows a 4D-LOD D for risk pattern 1 with identified safety back-up areas in a
powerhouse (red floor) for vehicles. Further, it includes safety considerations for lifting
turbinegenerator parts (risk patterns 4 and 8) enabling them to move to their respective pits (risk pattern
6).</p>
    </sec>
    <sec id="sec-7">
      <title>5. Summary and Conclusion</title>
      <p>Safety should be the concern of all project employees in a company where safety is considered as
a value. 4D simulation can help communicate and share this value with the integration of safety
elements and aspects in the course of normal operations. This paper has shown a 4D simulation
technique to minimize potential accidents at different phases (e.g. pre-feasibility or construction)
of a project and considering different levels of development (4D-LOD). This method has been
useful for integrating safety planning with 4D simulation in the context of the hydro-electrical
industry. The identification of potential risks ahead of the construction phase can be used as a
preventive safety training tool for a safer work place. The identification and analysis of the risks
will help project owners eliminate the root cause of hazards as required by safety regulations.
This included enhanced planning techniques for enabling proper inspection timing of temporary
safety elements (e.g. scaffolding) and assigning of work zones and workers’ workspaces. In
addition, the 4D simulation has been used as a jobsite tool for daily operations decision-support
to protect workers from different hazards and sources of energy for the new facilities.
Adjustments to the schedule were updated and considered as input for revised 4D simulation.
Future work includes studying the impact of safety on the critical path of project schedules and
4D simulation.</p>
      <p>Germain, C. and Drouin, N. (2019). Introduce Safety Measures in Earlier Phases of the Project Life Cycle to
Increase Success of Project, In: 63rd Int. Conf. of the Assoc. for the Adv. of Cost Eng. Conf., New Orleans, USA.
Guevremont, M. (2017). Virtual construction management. In: Proceedings of the 61st International Conference of
the Association for the Advancement of Cost Engineering, Orlando, USA.</p>
      <p>Guevremont, M. and Hammad, A. (2018). Multi-LOD 4D Simulation in Phased Rehabilitation Projects. In: Proc. of
the 17th Int. Conf. on Computing in Civil and Building Engineering, Tampere, Finland. 
Guevremont, M. and Hammad, A. (2019). Defining Levels of Development for 4D Simulation of Major Capital
Construction Projects, In: Mutis, I., Hartmann, T. (Eds.). Advances in Informatics and Computing in Civil and
Construction Engineering, Springer Nature Switzerland, pp. 77-83.</p>
      <p>Guo, H., Li, H., Chan, G. and Skitmore, M. (2012). Using Game Technologies to Improve the Safety of
Construction Plant Operations, Accident Analysis and Prevention. 48, pp. 204-213.</p>
      <p>Hammad, A., Zhang, C., Setayeshgar, S. and Asen, Y. (2012). Automatic generation of dynamic virtual fences as
part of BIM-based prevention program for construction safety. In: Wint. Sim. Conf., Berlin, Germany.
Kim, K. and Teizer, J. (2014). Automatic Design and Planning of Scaffolding Systems Using Building Information
Modeling, Advanced Engineering Informatics. 28, pp. 66-80.
Zhang, J.P. and Hu, Z.Z. (2011). BIM- and 4D-Based Integrated Solution of Analysis and Management for Conflicts
and Structural Safety Problems during Construction: 1. Principles and Methodologies, Aut. Constr. 20, pp. 155-166.
Zhang, S., Sulankivi, K., Kiviniemi, M., Romo, I., Eastman, C.M. and Teizer, J. (2015). Bim-Based Fall Hazard
Identification and Prevention in Construction Safety Planning, Safety Science. 72, pp. 31-45. 
Zhou, C. and Ding, L.Y. (2017). Safety barrier warning system for underground construction sites using
Internet-ofThings technologies, Automation in Construction. 83, pp. 372-389. </p>
    </sec>
  </body>
  <back>
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