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Building Information Modeling as Tool for Enhancing Disaster Resilience of the Construction Industry

Abstract

As frequencies of the disasters are increasing, new technologies can be used to enhance disaster resilience performance of the construction industry. This paper investigates the usage of BIM (Building Information Modeling) in enhancing disaster resilience of the construction industry and in the establishment of the resilient built environment. In-depth literature review findings reveal BIM’s contribution to the disaster resilience in the pre-disaster and post-disaster phases especially through influencing the performance of the supply chain, construction process, and rescue operations. This paper emphasises the need for BIM’s integration to the education and training curriculums of the built environment professionals. Policy makers, construction professionals, professional bodies, academics can benefit from this research.

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Building Information Modeling as Tool for Enhancing Disaster Resilience of the Construction Industry

Author: Sertyesilisik, Begum
Publisher: Vysoká škola báňská - Technická univerzita Ostrava
Year: 2017
DOI: 10.1515/tvsbses-2017-0002
Source: https://dspace.vsb.cz/bitstreams/eb024848-5adb-498b-b588-0e42c016d510/download
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BUILDING INFORMATION MODELING AS A TOOL FOR
ENHANCING DISASTER RESILIENCE OF THE CONSTRUCTION
INDUSTRY
Begum SERTYESILISIK1
1 Is anbul Technical Uni e si y, Facul y o A chi ec u e, Is anbul, Tu key, [email p o ec ed]
In oduc ion
The magni udes and equency o he na u al
haza ds and man-made haza ds a e inc easing due
o di e en challenges including clima e change,
ea hquake, unde -de elopmen /po e y, pandemics
(In e na ional Fede a ion o Red C oss and Red
C escen Socie ies IFRC websi e). Disas e s can
endange li e, well-being, and en i onmen (Gunes
and Ko el, 2000; Dakhil and Alshawi, 2014) as
hey can ha e dea hly consequences and as hey
can cause economic losses. Lill and Pe e a (2017)
emphasized ha be ween 2005-2015, disas e s
ad e sely a ec ed app oxima ely 1.5 billion people
and caused app oxima ely $1.3 illion loss (The
Uni ed Na ions O i ce o Disas e Risk Reduc ion
UNISDR, 2015). Fo example, as a esul o he
Sichuan ea hquake in 2008, “69,185 people died,
18,403 people wen missing and a la ge numbe o
houses we e des oyed, and a la ge numbe o people
we e homeless unable o secu e li elihoods” (Le ei
and Shuming, 2008; Jia and Zhu, 2012).
The esilience o he cons uc ion indus y
o disas e s and o hei consequences needs
o be enhanced. ‘Resilience’ means he ways
o imp o ing socie ies’ esis ance and s eng h
agains disas e s/haza ds and educing hei
ad e se consequences as well as he p obabili y o
man-made haza ds (Bu nside and Ca alho, 2016;
Haigh and Ama a unga, 2010). DFID (Depa men
o In e na ional De elopmen ) (2011) de i nes
disas e esilience as ‘ he abili y o coun ies,
communi ies and households o manage change, by
main aining o ans o ming li ing s anda ds in he
ace o shocks o s esses … wi hou comp omising
hei long- e m p ospec s’ (Go e nance and Social
De elopmen Resea ch Cen e GSDRC websi e).
Disas e esilience depends on ‘ he deg ee o which
he social sys em is capable o o ganising i sel o
inc ease i s capaci y o lea ning om pas disas e s
o be e u u e p o ec ion and o imp o e i s isk
educ ion measu es’ (UNISDR, 2005 as quo ed om
Lill and Pe e a, 2017). In e -disciplina y solu ions
a e equi ed o cope wi h he challenges caused by
he disas e s (Haigh and Ama a unga, 2010). The
esilience o he buil en i onmen can con ibu e
o he mi iga ion o he economic consequences o
disas e s and o he eco e y o he socie ies (Lill
and Pe e a, 2017). Fo his eason, his pape aims o
in es iga e he usage o BIM (Building In o ma ion
Modeling) in enhancing disas e esilience o he
cons uc ion indus y and in es ablishmen o he
esilien buil en i onmen .
Abs ac : As equencies o he disas e s a e inc easing, new echnologies can be used o enhance
disas e esilience pe o mance o he cons uc ion indus y. This pape in es iga es
he usage o BIM (Building In o ma ion Modeling) in enhancing disas e esilience o
he cons uc ion indus y and in he es ablishmen o he esilien buil en i onmen .
In-dep h li e a u e e iew i ndings e eal BIM’s con ibu ion o he disas e esilience in he
p e-disas e and pos -disas e phases especially h ough in l uencing he pe o mance o
he supply chain, cons uc ion p ocess, and escue ope a ions. This pape emphasises
he need o BIM’s in eg a ion o he educa ion and aining cu iculums o he buil
en i onmen p o essionals. Policy make s, cons uc ion p o essionals, p o essional
bodies, academics can bene i om his esea ch.
Keywo ds: Disas e esilien buil en i onmen , BIM, disas e esilien cons uc ion indus y, disas e
esilience, disas e esilien supply chain.
Resea ch a icle
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Ma e ials and me hods
This pape aims o in es iga e he usage o BIM
in enhancing disas e esilience o he cons uc ion
indus y and in es ablishmen o he esilien buil
en i onmen . Wi h his aim, an in-dep h li e a u e
e iew has been ca ied ou on he ollowing opics:
need o disas e esilien cons uc ion indus y,
supply chain and esilien buil en i onmen ;
con ibu ion o he cons uc ion indus y o he
disas e esilience; ways o enhancing esilience o
he cons uc ion indus y; BIM’s con ibu ion o he
disas e esilience o he cons uc ion and supply
chain bo h in he p e-disas e and pos -disas e
phases.
Resul s
The li e a u e e iew i ndings ha e been
summa ized unde he wo subheadings, namely:
con ibu ion o he cons uc ion indus y o he
disas e esilience and enhancing esilience o he
cons uc ion indus y.
Con ibu ion o he cons uc ion indus y
o he disas e esilience
The cons uc ion indus y plays i al ole
in enhancing disas e esilience. Cons uc ion
companies’ esilience can in l uence esilience o
he cons uc ion indus y, ele an indus ies and o
he communi ies (Haigh e al., 2006; Boshe , 2008;
Haigh and Ama a unga, 2010; Wilkinson, e al.,
2016). Speed o eco e y in he pos -disas e phase
depends on he speed o he econs uc ion o he buil
en i onmen (Qua an elli, 2008; Wilkinson e al.,
2016). Haigh and Ama a unga (2010) emphasized
he buil en i onmen ’s impo ance in con ibu ing
o he communi ies’ esilience s a ing ha “… when
elemen s o i a e damaged o des oyed, he abili y
o socie y o unc ion - economically and socially - is
se e ely dis up ed…” Fo his eason, ac ions aken
o enhancing communi ies’ esilience need o co e
he ways o enhancing disas e esilience o he
buil en i onmen and o he cons uc ion indus y.
Wilkinson e al. (2016) cla i i ed his si ua ion as
ollows:
“Building he esilience o cons uc ion
o ganisa ions is a key pa o any o e all esilience
policy because o hei ole in es o a ion and
econs uc ion p ojec deli e y pos -disas e …
A esilien cons uc ion sec o is esponsi e,
adap able and able o lead in a disas e ... Loss o
unc ionali y o he cons uc ion sec o leads o slow,
uncoo dina ed eco e ies.” (Wilkinson, e al., 2016)
In he p e-disas e phase, cons uc ion companies
need o enhance hei esilience and in es in
p e-disas e isk educ ion a he company le el as
in he pos -disas e phase, cons uc ion companies
a e expec ed o eco e hei own business’
unc ionali y, and o con ibu e o he pos -disas e
eco e y and econs uc ion (Wilkinson, e al.,
2016). Bo h echnical and o ganisa ional esiliences
a e impo an o imp o ing o e all esilience
(Sapeciay e al., 2017).
In he p e-disas e phase, esilience o he
cons uc ion indus y can be enhanced h ough
educa ing he cons uc ion p o essionals (Wilkinson,
e al., 2016). Buil en i onmen p o essionals need o
be equipped wi h he ele an skills and knowledge
so ha hey can deal wi h he equi emen s o
he p e- and pos -disas e phases. Cons uc ion
p o essionals can in l uence echnical esilience
o he cons uc ions. Imp o ed enginee ing
o buildings and in as uc u e can educe he
magni ude o he disas e s’ impac minimising hei
consequences (Mile i, 1999; Haigh and Ama a unga,
2010). Fu he mo e, cons uc ion p o essionals need
o deal wi h challenges in he pos -disas e phase
enhancing he eco e y p ocess. Buil en i onmen
p o essionals need o ha e s ong leade ship, abili y
o manage ulne abili ies and abili y o adap
hemsel es o he changes (Wilkinson, e al., 2016).
They need o be able o manage he boom-bus cycles
as a esul o disas e s (Wilkinson, 2013; Wilkinson,
e al., 2016) as cons uc ion indus y needs o be able
o adap i sel o changing and suddenly inc easing
wo kload in he pos -disas e phase. Fu he mo e,
buil en i onmen p o essionals need o be equipped
wi h he skills and knowledge enabling hem o ha e:
p ojec managemen and echnical cons uc ion
expe ise (Haigh and Ama a unga, 2010); abili y o
wo k wi h BIM (Building In o ma ion Modelling)
based cons uc ion (Haigh and Ama a unga, 2010);
abili y o achie e building damage assessmen and
sa e y e alua ion (Wilkinson, e al., 2016). They
need o be able o lead he es o a ion p ojec s in
he pos -disas e phase (Ba oudi and Rapp, 2016).
Educa ion o disas e es o a ion p ojec s need o
equip hem wi h leade ship ai s ia case s udies,
small g oup discussions, and ole-playing (Ba oudi
and Rapp, 2016). Fu he mo e, hey need o ha e
abili y o ca y ou was e managemen success ully
and e ec i ely (Ka unasena and Ama a unga, 2016)
especially in he pos -disas e phase.
In he p e-disas e phase, esilience needs o be
in eg a ed o he codes, policies, cul u e and wo k
p ac ices. Building egula ions and codes need o be
p epa ed conside ing measu es o con ol disas e
was e gene a ion as well as o suppo cons uc ion
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and demoli ion was e managemen (Ka unasena and
Ama a unga, 2016) as was e managemen is one
o he main p oblems in he pos -disas e phase.
Fu he mo e, policies need o suppo mo emen
owa ds esilien buil en i onmen . Fo his eason,
policies need o encou age mul idisciplina y,
in e ins i u ional (e.g. p o essional bodies,
cons uc ion companies, public en i ies, uni e si ies
e c.), and in e na ional collabo a ion as well as
ele an educa ions, ainings, esea ches, and
es ablishmen o codes, amewo ks, and ac s.
In he pos -disas e phase, he cons uc ion
indus y needs o mobilize easily and quickly o ca y
ou he damage assessmen , emo al and disposal
o was e, epai and ehabili a ion o in as uc u e
(Wilkinson, 2013; Wilkinson, e al., 2016), o
p o ide eme gency shel e ing, empo a y shel e ing
and empo a y housing (Qua an elli, 1995; Haigh
and Ama a unga, 2010) as well as o es o e public
se ices (Liza alde and Bouche , 2004; Young,
2004; Jigyasu, 2002; Jigyasu, 2004; Haigh and
Ama a unga, 2010) and o enable econs uc ion
(Sapeciay, e al., 2017). Disas e eco e y equi es
disas e es o a ion and econs uc ion o he buil
en i onmen as app op ia e (Ba oudi and Rapp,
2016). As econs uc ion is a dynamic p ocess
con aining unce ain ies (Wilkinson, e al., 2016),
he cons uc ion indus y p o essionals need o
con ibu e o he solu ion o he po en ial con l ic s
which can eme ge among he s akeholde s in
he econs uc ion phase (Au De Heide, 1989;
Wilkinson, 2013; Wilkinson, e al., 2016). In he
pos disas e phase, was e gene a ed in he pos
disas e phase endange s human heal h and can
cause en i onmen al deg ada ion (B own e al. 2011;
EPA, 2008; FEMA, 2007; JEU, 2010; Kou mpanis
e al. 2008; Ka unasena and Ama a unga, 2016). Fo
his eason, in he pos -disas e phase, cons uc ion
companies need o ca y ou e i cien and e ec i e
cons uc ion and demoli ion was e managemen
which equi es was e gene a ed due o disas e s,
demoli ions and econs uc ion o be collec ed,
anspo ed, p ocessed and disposed (Ka unasena
e al., 2009; Ka unasena, 2011; Ka unasena and
Ama a unga, 2016).
Bo h in he p e-disas e and pos -disas e
phases cons uc ion companies ely on he disas e
esilience o hei supply chains (SCs). As SC’s
esilience is impo an o he smoo h l ow o he
wo ks in he pos -disas e phase, cons uc ion
SC’s esilience can enhance he esilience o he
cons uc ion indus y and he eco e y pe iod in
he pos -disas e phase. SC’s esilience is ela ed
wi h he SC’s capabili y in egaining i s o iginal
con i gu a ion jus a e disas e s wi h he help o
collabo a ion among SC membe s (Boin e al.,
2010; She i and Rice, 2005; Wo ld Economic
Fo um, 2015; I ano e al., 2014; Papadopoulos,
e al., 2017). SC’s esilience is in l uenced by global
compe i ion and disas e s. Ups eam SC ope a ions
a e in l uenced by “ he global p ice-based sou cing
ends o cing o ganiza ions o pu chase om
cheape bu ‘‘less eliable” and ‘‘less sus ainable”
supplie s” (Fahimnia and Jabba zadeh, 2016). SCs
can lose hei esilience due o dis up ions caused
by disas e s (Eskew, 2004; Tang, 2006; Chen, e al.,
2015). En i onmen al isk can esul in una ailabili y
o supplie s in a egion whe e disas e occu ed. As
supplie s a e in e dependen , a dis up ion in one
supplie may dis up o he supplie s (Kamalahmadi
and Pa as , 2017). Fo his eason, as he isk o
a company is no limi ed o i s bounda y anymo e,
he scope o isk managemen has been ex ended
om he en e p ise le el o he SC le el (Zeng
and Yen, 2017). Chen e al. (2015) ga e he 2011
l ooding in Thailand, and e up ion o an Icelandic
olcano in 2010 as examples o SC dis up ions and
hei ad e se impac s in he pos -disas e phase. In
2011 l ooding in Thailand dis up ed he compu e
manu ac u e s’ SCs (BBC, 2011) whe eas e up ion
o an Icelandic olcano in 2010 a ec ed SCs
dependen on ai - eigh ed ade (Chen e al., 2015).
Enhancing esilience o he cons uc ion
indus y
New echnologies can be used o enhance
disas e esilience pe o mance o he cons uc ion
indus y. BIM has s a ed o be used o suppo
cons uc ion p ojec managemen . BIM became
compulso y o applying o he ende s in a ious
coun ies (e.g. UK). “BIM e e s o a combina ion
o a se o echnologies and o ganiza ional solu ions
ha a e expec ed o inc ease in e o ganiza ional
and disciplina y collabo a ion in he cons uc ion
indus y and o imp o e he p oduc i i y and quali y
o he design, cons uc ion, and main enance o
buildings” (Mie inen and Paa ola, 2014). In
o he wo ds, “BIM is an ICT ‘hub’ o acili a e
in eg a ion o in o ma ion pe aining o a building
h oughou i s li ecycle, in o m o pa ame ic nD
da a -whe he geome ical o abula , gene a ed
by an a ay o s akeholde s in o one cen alised,
eal- ime and in e ac i e en i onmen h ough
collabo a i e wo king p ocesses” (Fa , e al.,
2014). BIM can be bene i cial in all p ojec phases
including e u bishmen , acili ies managemen ,
and demoli ion (Chong, e al., 2017: 4114; Liu, e
al., 2015). BIM can suppo cons uc ion p ojec
managemen wi h espec o he a ious aspec s
including: cos planning and es ima ing (Yoon,
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e al., 2009); acking and managing changes, and
managing si e logis ics (Pooyan, e al., 2009; Chen
and Luo, 2014); clash de ec ion (Ha din, 2009),
isualisa ion and simula ion (Eas man e al., 2008),
planning and main aining building p ojec s (Wang,
e al., 2015). Fu he mo e, i can con ibu e o
he analysis, coo dina ion and communica ion
o collabo a i e wo king, li ecycle in o ma ion
assessmen and managemen , and sus ainable
design ac oss p ojec li ecycle s ages (Liu, e al.,
2015). BIM can con ibu e o he disas e esilience
o he cons uc ion indus y bo h in he p e- and
pos -disas e phases (Tab. 1).
In he p e-disas e phase, BIM can enhance
he esilience o he cons uc ions s a ing om
he design phase. I can suppo esilience o he
cons uc ion phase and o he SCs. In he design
phase, BIM can enhance echnical esilience o he
cons uc ions enabling simula ions on hei s uc u al
pe o mance and esilience (Ali ezaei, e al., 2016:
1058; Ba azze i e al., 2015). BIM can be used o
es ima ion o damages o he building, assessmen
o he damage cos and en i onmen al impac s o
a damaged building due o ea hquake (Ali ezaei e al.
2016). S uc u al simula ion o he his o ic buildings
can be ca ied ou ia he wo-s ep me hodology
( om Cloud o BIM om BIM o i ni e elemen
model) de eloped by Ba azze i e al. (2015). In he
design phase, BIM can suppo was e managemen
in he pos -disas e phase con ibu ing o he
eco e y phase. BIM can suppo e ec i e was e
managemen wi h he help o decons uc abili y
analysis (Akinade, e al., 2015) which can acili a e
pos -disas e was e managemen p ocess. BIM
based Decons uc abili y Assessmen Sco e can be
used o de e mining he ex en o which a building
could be decons uc ed s a ing om he design
s age (Akinade, e al., 2015). Fu he mo e, BIM can
enable cos e ec i e assessmen o di e en design
op ions o educe cons uc ion was e (Lu e al., 2017;
Liu e al., 2011; Liu, e al., 2015). Bo h in he design
and cons uc ion phases, BIM can enhance he isk
o acciden s (man-made haza ds). In he p e-disas e
phase, BIM can con ibu e o he minimiza ion
o he occupa ional heal h and sa e y isks as well
as o he imp o emen o he occupa ional heal h
and sa e y pe o mance (Zhang e al., 2015). Fo
example, Zhang e al. (2015) in en ed an au oma ed
ule-checking amewo k ha in eg a es sa e y
in o BIM enabling de ec ion and p e en ion o
all- ela ed haza ds.
Phases
P e-disas e phase
Design phase Enabling o assessmen o design op ions o educe was e (Lu e al, 2017)
Facili a ing he design eam's in ol emen a soone in he p ocess, and wi h mo e
impac , hus designing ou en i onmen al ine i ciencies (Alwan, e al., 2017)
Minimising cons uc ion was e in hei design p ojec s (Liu e al., 2011; Liu, e al., 2015)
Enabling decons uc abili y analysis (Akinade, e al., 2015)
Enabling simula ions on s uc u al pe o mance and esilience o he cons uc ions
(e.g. es ima ion o po en ial damages) (Ali ezaei, e al., 2016; Ba azze i e al., 2015)
Bo h design and
cons uc ion phases Enhancing occupa ional heal h and sa e y pe o mance (Zhang e al., 2015)
Cons uc ion phase Imp o ing he wo k- l ow and enhancing he lean pe o mance (Sacks e al., 2010)
Enhancing SC’s esilience
Pos -disas e
phase E acua ion and
escue phase Enabling apid e acua ion (Yenumula, e al., 2015; Tashakko i, e al., 2015)
Assessing e acuees beha iou in he e acua ion phase (Rüppel and Scha z, 2011)
Con olling he e acua ion egula ion compliance o BIM da a (Choi e al., 2014)
P o iding accu a e in o ma ion con ibu ing o he building disas e managemen (Dakhil
and Alshawi, 2014)
Guiding he e acuees o he igh and nea es exi (Yenumula, e al., 2015; Rüppel e al.
2010; Wang e al., 2015)
Reducing indoo a el imes in case o indoo disas e s (Tashakko i, e al., 2015)
Enhancing i e sa e y managemen (Wang e al., 2015)
Reco e y and
econs uc ion
phases
Enhancing quali y managemen and adap a ion o he cons uc ion p ocess o he change
o de s h ough 4D BIM (Chen and Luo, 2014)
Enhancing SC’s esilience
Tab. 1 BIM’s ole in he p e-disas e and pos -disas e phases
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In he pos -disas e phase, BIM can enhance he
e acua ion, eco e y and econs uc ion p ocesses
as well as SC’s esilience enabling smoo h and
success ul wo k l ow. The buil en i onmen
which has been buil wi h BIM can enhance
pos -disas e phase and con ibu e o he eco e y
o he buil en i onmen and o he communi y
(Haigh and Ama a unga, 2010).In he e acua ion
and escue phases, BIM can enable apid e acua ion
(Yenumula, e al., 2015; Tashakko i, e al., 2015)
guiding he e acuees o he nea es exi (Yenumula,
e al., 2015; Rüppel e al. 2010; Wang e al., 2015)
and educing indoo a el imes (Tashakko i, e al.,
2015). Yenumula, e al. (2015) de eloped a BIM-
con olled signage sys em whe e he i e senso
de ec ion module has been linked o a building's
i e senso s o he BIM model so ha occupan s a e
lead o he exi and e acua ed apidly (Yenumula, e
al., 2015). Simila ly, Rüppel e al. (2010) designed
a sys em in eg a ed wi h BIM o help eme gency
escue s i nd he sho es way o a loca ion wi hin
a building (Wang, e al., 2015). Tashakko i, e al.
(2015) de eloped an Indoo Eme gency Spa ial
Model based on IFC o educe indoo a el imes
in case o indoo disas e s. Fu he mo e, BIM
can con ibu e o he assessmen o he e acuees’
beha iou in he e acua ion phase (Rüppel and
Scha z, 2011). BIM can suppo con ol o he
e acua ion egula ion compliance o BIM da a
(Choi e al., 2014). BIM can con ibu e o he i e
sa e y managemen in he pos -disas e phase. Wang,
e al. (2015) designed a BIM-based model consis ing
o ou modules (e acua ion assessmen , escape
ou e planning, sa e y educa ion, and equipmen
main enance) o suppo i e sa e y managemen o
buildings (Wang, e al., 2015). Li e al. (2014), on
he o he hand, in oduced a BIM based algo i hm
o loca e i s escue s and people o be e acua ed
in buildings in e acua ion ope a ions in case o i e
disas e s (Wang, e al., 2015). Fu he mo e, BIM can
con ibu e o sea ch and escue e o s (Isikdag e al.,
2008; Aziz e al., 2009).
BIM can suppo cons uc ion companies in
dealing wi h he ola ile and inc eased wo kload
in he pos -disas e phase. BIM can con ibu e o
he cons uc ion p ocess enhancing he quali y and
esilience o he cons uc ion. I can enhance quali y
managemen and adap a ion o he cons uc ion
p ocess o he change o de s h ough 4D BIM and
p esen ing mul i-dimensional da a (e.g. design and
ime sequence da a, e c.) (Chen and Luo, 2014).
Fu he mo e, ‘KanBIM’, “a BIM-enabled pull l ow
cons uc ion managemen so wa e sys em based
on he Las Planne Sys em™”, can imp o e he
wo k- l ow and enhance he lean pe o mance
isualizing he p oduc and wo k l ow (Sacks e al.,
2010). Simila ly, cons uc ion p ocess in he eco e y
phase can be enhanced by he “Cons uc ion si e
in o ma ion model” (CoSIM) (T ani e al., 2015).
BIM can suppo esilience o he SC which is
needed bo h in he p e-disas e and pos -disas e
phases. SC esilience is impo an o he e ec i e
eme gency logis ics so ha he disas e a ec ed
a eas ecei e elie se ices on ime and as as as
possible in he pos -disas e phase (Jia and Zhu,
2012). SC esilience can be enhanced h ough
in eg a ed logis ics capabili ies con ibu ing o
he uni i ca ion and inc eased connec i i y among
he SC membe s, and in e - ela ed SC capabili ies
(Jü ne and Maklan, 2011) including (Mandal, e
al., 2016): he SC’s isibili y ( he deg ee o which
SC pa ne s ha e access o bo h ope a ional and
manage ial in o ma ion ela ed o he SC) (Ba a
and Oke, 2007; Wei and Wang, 2010); SC l exibili y
( eadiness o a SC wi h ega d o al e na e cou ses
o ac ions h ough l exibili y in esou ce planning);
and SC eloci y (speed o eac o ma ke changes)
(Richey, 2009). Especially, SC l exibili y and SC
eloci y a e necessa y o esilience (Mandal, e
al., 2016). As SC pa ne ships can in l uence he
in eg a ion o SC isk sys em, and he ope a ions in
SCs, he le el o collabo a ion among SC pa ne s
con ibu es o he esilience o SCs (Zeng and Yen,
2017). A sha and Haghani (2012) emphasised
he impo ance o in eg a ed logis ics ope a ions
in esponse o na u al disas e s. As Lee (2004)
highligh s, a success ul SC eco e y s a egy mus
comply wi h agili y, adap abili y, and alignmen
(Chen, e al., 2015). BIM can enable he SC o
deal wi h he di i cul ies and challenges in he p e-
disas e and pos -disas e phases. BIM can suppo
he esilience o he cons uc ion SC enabling eal
ime in o ma ion sha ing h oughou he cons uc ion
SC (Shi, e al., 2016). BIM can enable acking
he SC s a us and deli e y o ma e ials h ough i s
in eg a ion wi h geog aphic in o ma ion sys em
(I iza y, e al., 2013). Fu he mo e, BIM, suppo ed
by he augmen ed eali y, can con ibu e o he
eal- ime isualisa ion o he physical con ex o each
cons uc ion ac i i y and ask (Wang, e al., 2013).
BIM can enhance esilience o he SC con ibu ing
o he isibili y, eloci y, collabo a ion, and logis ics
o he SC.
Discussion
F equencies and magni udes o he na u al
disas e s end o inc ease especially due o he global
wa ming. Na u al disas e s and man-made disas e s
(e.g. wa s, acciden s) endange esilience and su i al
o he humani y. Fo his eason, aking e ec i e
p ecau ions and ac ions o enhance esilience o
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he humani y o he disas e s is impo an and
equi es in e na ional collabo a ion. As cons uc ion
indus y plays an impo an ole in educing ad e se
impac s o he disas e s and in apidly eco e y in
he pos -disas e phase, enhancing esilience o he
cons uc ion indus y can con ibu e o he esilience
o he humani y. Cons uc ion indus y’s esilience
depends on a ious ac o s including he esilience
o he buil en i onmen , cons uc ion p ojec
managemen , and o he SC.
New echnologies such as BIM can be bene i cial
o he cons uc ion indus y’s esilience bo h
in he p e-disas e and pos -disas e phases. In
he p e-disas e phase, BIM can enhance he
esilience o he buil en i onmen , he design and
cons uc ion phases as well as o he SCs (Tab. 1).
BIM can suppo was e managemen enabling
educ ion in was e h ough decons uc abili y
analysis (Akinade, e al., 2015), and cos e ec i e
assessmen o di e en design op ions (Lu e al.,
2017). Fu he mo e, BIM can suppo echnical
esilience o he cons uc ions h ough s uc u al
simula ions (Ali ezaei, e al., 2016; Ba azze i e al.,
2015). BIM can also con ibu e o he occupa ional
heal h and sa e y pe o mance (Zhang e al., 2015)
educing man-made haza ds (e.g. acciden ). In he
pos -disas e phase, BIM can enhance e acua ion
and eco e y p ocesses including econs uc ion
as well as SC’s esilience. BIM can enable apid
e acua ion (Yenumula, e al., 2015; Tashakko i, e
al., 2015) guiding he e acuees o he nea es exi
(Yenumula, e al., 2015; Rüppel e al. 2010; Wang
e al., 2015) and assessing e acuees’ beha iou
(Rüppel and Scha z, 2011). BIM can suppo
he design eam enabling hem o con ol BIM
da a’s compliance wi h he e acua ion egula ion
(Choi e al., 2014). Fu he mo e, BIM can suppo
cons uc ion companies o manage he inc eased
wo kload due o he need o apid econs uc ion
in he pos -disas e phase. BIM can con ibu e o he
quali y managemen and change managemen (Chen
and Luo, 2014) as well as o he lean pe o mance o
he cons uc ion p ocess (Sacks e al., 2010). BIM
can suppo he eco e y and econs uc ion phases
enhancing SC’s esilience as well as enabling as
eco e y o he communi y and econs uc ion o he
buil en i onmen . Fo his eason, ans o ma ion o
he cons uc ion p ojec managemen p ocess in o
a BIM based one and ex ending i s scope o include
acili ies managemen a e impo an o enhancing
disas e esilience o he cons uc ion indus y in he
p e-disas e and pos -disas e phases.
E en i BIM can enhance esilience o he
cons uc ion indus y, cons uc ion companies
need o be awa e o he ac ha esilience needs
o be in eg a ed o he cul u e and wo k p ac ices.
Policies need o encou age mul idisciplina y,
in e ins i u ional (e.g. p o essional bodies,
cons uc ion companies, public en i ies, uni e si ies
e c.), and in e na ional collabo a ion as well as
ele an educa ions, ainings, esea ches, and
es ablishmen o codes, amewo ks, and ac s. Buil
en i onmen p o essionals need o be educa ed and
ained so ha hey a e equipped wi h all equi emen s
o he disas e managemen . They need o be
compe en in BIM due o hei ole in es ablishmen
o he esilien buil en i onmen and communi y.
In e disciplina y and global collabo a ion in he i eld
o educa ion and esea ch can suppo educa ion and
aining on he disas e esilience. Disas e esilience
concep s need o be in eg a ed in o he educa ion o
buil en i onmen p o essionals and s akeholde s
educa ion (e.g. communi y; cons uc ion
p o essionals; poli icians, e c.). Requi emen s o he
social, economic, poli ical, manage ial, legal, and
echnical aspec s o he disas e esilience need o be
in eg a ed o he educa ion and aining o he buil
en i onmen p o essionals. Resilien cons uc ion
indus y enhances esilience o he communi y.
Es ablishmen o he esilien buil en i onmen
and communi ies is a mul idisciplina y and mul i
s akeholde p ocess which can be suppo ed by
in e ins i u ional and in e na ional collabo a ion.
Fo his eason, go e nmen s, educa ion, social and
mass media as well as p o essional bodies need o
con ibu e o he es ablishmen o disas e esilien
buil en i onmen and communi y in he p e- and
pos - disas e phases.
Conclusion
This pape in es iga ed he usage o BIM in
enhancing disas e esilience o he cons uc ion
indus y and in es ablishmen o he esilien buil
en i onmen . Need o disas e esilien buil
en i onmen and communi y is inc easing due o he
inc ease in he equency and magni ude o disas e s.
This pape emphasises ha BIM can enhance
esilience o he buil en i onmen , cons uc ion
indus y and o he SC in he p e-disas e phase
(e.g. echnical esilience) and pos -disas e phase
(e.g. e acua ion, eco e y and econs uc ion
p ocess). I is impo an o he policy make s
and s akeholde s o he buil en i onmen o
encou age BIM based cons uc ion o esilien buil
en i onmen and cons uc ion indus y. Fo his
eason, BIM needs o be in eg a ed o he educa ion
and aining cu iculums o buil en i onmen
p o essionals so ha he esilience o he cons uc ion
indus y can be enhanced. Buil en i onmen
p o essionals play impo an oles wi h espec o he
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manage ial, and echnical aspec s o he p e-disas e
(e.g. es ablishing he esilien buil en i onmen ) and
pos -disas e phases. Resilien cons uc ion indus y,
esilien buil en i onmen and communi y need o
be conside ed oge he as hey in l uence each o he .
Fu he esea ch is ecommended o be ca ied ou
on he ways o widesp eading he usage o BIM o
enhancing he disas e esilience as well as on he
ba ie s agains i s usage as a ool o add essing
many disas e esilience p oblems. Policy make s,
cons uc ion p o essionals, p o essional bodies, and
academics can ge bene i om his esea ch.
Re e ences
A sha , A.; Haghani, A. 2012. Modeling in eg a ed supply chain logis ics in eal- ime la ge-scale disas e elie
ope a ions. Socio-Economic Planning Sciences, 46: 327-338.
Akinade, O.O., Oyedele, L.O., Bilal, M., Ajayi, S.O., Owolabi, H.A., Alaka, H.A., Bello, S.A. 2015. Was e
minimisa ion h ough decons uc ion: A BIM based Decons uc abili y Assessmen Sco e (BIM-DAS).
Resou ces, Conse a ion and Recycling, 105: 167-176.
Ali ezaei, M., Noo i, M., Ta a i, O., Mackie, K.R., Elgamal, A. 2016. BIM-Based Damage Es ima ion o Buildings
unde Ea hquake Loading Condi ion. In e na ional Con e ence on Sus ainable Design, Enginee ing and
Cons uc ion, P ocedia Enginee ing, 145: 1051-1058.
Alwan, Z., Jones, P., Holga e, P. 2017. S a egic sus ainable de elopmen in he UK cons uc ion indus y, h ough
he amewo k o s a egic sus ainable de elopmen , using Building In o ma ion Modelling. Jou nal o
Cleane P oduc ion, 140: 349-358.
Au De Heide, E. 1989. Disas e Response: P inciples and P epa a ion and Coo dina ion, The Mosby Company,
S Loius, MO.
Aziz, Z., Pena-Mo a, F., Chen, A., Lan z, T. 2009. Suppo ing u ban eme gency esponse and eco e y using
RFID-based building assessmen , Disas e P e en ion and Managemen , 18(1): 35-48.
Ba azze i, L., Ban i , F., B umana, R., Gusme oli, G., P e i ali, M., Schian a elli, G. 2015. Cloud- o-BIM- o-FEM:
S uc u al simula ion wi h accu a e his o ic BIM om lase scans. Simula ion Modelling P ac ice and Theo y,
57: 71-87.
Ba oudi, B., Rapp, R. 2016. Disas e es o a ion p ojec managemen : leade ship educa ion and me hods.
In e na ional Jou nal o Disas e Resilience in he Buil En i onmen , 7(5): 434-443.
Ba a , M., Oke, A. 2007. An eceden s o supply chain isibili y in e ail supply chains: a esou ce-based heo y
pe spec i e. Jou nal o Ope a ions Managemen , 25(6): 1217-1233.
BBC, Oc 13, 2011. Thailand Floods Dis up P oduc ion and Supply Chains. <h p://www.bbc.co.uk/news/
business-15285149> (20.10.14).
Boin, A., Kelle, P., Whyba k, D.C. 2010. Resilien supply chains o ex eme si ua ions: ou lining a new i eld o
s udy. In e na ional Jou nal o P oduc ion Economics, 126(1): 1-6.
Boshe , L., Dain y, A., Ca illo, P., Glass, J., P ice, A. 2008. A aining imp o ed esilience o loods: a p oac i e
mul i-s akeholde app oach, Disas e P e en ion and Managemen , 18(1): 9-22.
B own, C., Mike, M., Se ille, E. 2011. Disas e was e managemen : a e iew a icle, Was e Managemen , 31(1):
1085-1098.
Bu nside, J., Ca alho, L.L. 2016. A s akeholde app oach o building communi y esilience: awa eness o
implemen a ion. In e na ional Jou nal o Disas e Resilience in he Buil En i onmen , 7(1): 4-25.
Chen, L.M., Liu, Y.E., Yang, S.J.S. 2015. Robus supply chain s a egies o eco e ing om unan icipa ed
disas e s. T anspo a ion Resea ch Pa E, 77: 198-214.
Chen, L., Luo, H. 2014. A BIM-based cons uc ion quali y managemen model and i s applica ions. Au oma ion in
Cons uc ion, 46: 64-73.
Choi, J., Choi, J., Kim, I. 2014. De elopmen o BIM-based e acua ion egula ion checking sys em o high- ise
and complex buildings. Au oma ion in Cons uc ion, 46: 38-49.
Chong, H.Y., Lee, C.Y., Wang, X. 2017. A mixed e iew o he adop ion o Building In o ma ion Modelling (BIM)
o sus ainabili y. Jou nal o Cleane P oduc ion, 142: 4114-4126.
DOI 10.1515/ sbses-2017-0002
T ansac ions o he VSB - Technical uni e si y o Os a a
Sa e y Enginee ing Se ies
Vol. XII, No. 1, 2017
16
Dakhil, A., Alshawi, M. 2014. Clien ’s Role in Building Disas e Managemen h ough Building In o ma ion
Modelling. 4 h In e na ional Con e ence on Building Resilience, Building Resilience 2014, 8-10 Sep embe
2014, Sal o d Quays, Uni ed Kingdom. P ocedia Economics and Finance, 18: 47-54.
DFID (2011). De i ning Disas e Resilience: A DFID App oach Pape . DFID.
Eas man, C., Teicholz, P., Sacks, R., Lis on, K. 2008. BIM Handbook: A Guide o Building In o ma ion Modeling
o Owne s, manage s, designe s, enginee s, and con ac o s, John Wiley & Sons, Inc., Canada.
Eskew, M. 2004. Mi iga ing Supply Chain Risk. CEO, Ap il 25-26.
Fahimnia, B., Jabba zadeh, A. 2016. Ma ying supply chain sus ainabili y and esilience: A ma ch made in hea en.
T anspo a ion Resea ch Pa E, 91: 306-324.
Fa , E.R.P., Pi ooz a , P.A.E., Robinson, D. 2014. BIM as a gene ic con i gu a o o acili a ion o cus omisa ion
in he AEC indus y. Au oma ion in Cons uc ion, 45: 119-125.
GSDRC websi e Disas e esilience h p://www.gsd c.o g/ opic-guides/disas e - esilience/concep s/wha -is-
disas e - esilience/.
Gunes, A. E., Ko el, J. P. 2000. Using GIS in eme gency managemen ope a ions. Jou nal o U ban Planning and
De elopmen , 126: 136-149.
Haigh, R., Ama a unga, D., Ke aminiyage, K. 2006. An explo a ion o he cons uc ion indus y’s ole in disas e
p epa edness, esponse and eco e y, P oceedings o he Annual In e na ional Resea ch Con e ence o he
Royal Ins i u ion o Cha e ed Su eyo s (RICS COBRA 2006), The RICS and The Ba le School, Uni e si y
College London, London.
Haigh, R., Ama a unga, D. 2010. An in eg a i e e iew o he buil en i onmen discipline's ole in he de elopmen
o socie y's esilience o disas e s. In e na ional Jou nal o Disas e Resilience in he Buil En i onmen , 1(1):
11-24.
Ha din, B. 2009. BIM and cons uc ion managemen : p o en ools, me hods, and wo k l ows. 1s edi ion Wiley
Publish, Inc., Canada.
In e na ional Fede a ion o Red C oss and Red C escen Socie ies h p://www.i c.o g/en/wha -we-do/disas e -
managemen /abou -disas e s/de i ni ion-o -haza d/.
I iza y, J., P. Ka an, E.P., Jalaei, F. 2013. In eg a ing BIM and GIS o imp o e he isual moni o ing o cons uc ion
supply chain managemen . Au oma ion in Cons uc ion, 31: 241-254.
Isikdag, U., Unde wood, J., Aouad, G. 2008. An in es iga ion in o he applicabili y o building in o ma ion models
in geospa ial en i onmen in suppo o si e selec ion and i e esponse managemen p ocesses, Ad anced
Enginee ing In o ma ics, 22(4): l504-l519.
I ano , D. Sokolo , B., Dolgui, A. 2014. The Ripple e ec in supply chains: ade-o ‘e i ciency- l exibili y-
esilience’ in dis up ion managemen . In e na ional Jou nal o P oduc ion Resea ch, 52(7): 2154-2172.
Jia, G., Zhu, C. 2012. A S udy on Eme gency Supply Chain and Risk Based on U gen Relie Se ice in Disas e s.
Sys ems Enginee ing P ocedia, 5: 313-325.
Jigyasu, R. 2002. F om Ma a hwada o Guja a - eme ging challenges in pos -ea hquake ehabili a ion o
sus ainable eco-de elopmen in Sou h Asia. P oceedings o he Fi s In e na ional Con e ence on Pos -disas e
Recons uc ion: Imp o ing Pos -disas e Recons uc ion in De eloping Coun ies, 23-25 May, Uni e si e de
Mon eal, Mon eal, Canada.
Jigyasu, R. 2004. Sus ainable pos -disas e econs uc ion h ough in eg a ed isk managemen . P oceedings o he
Second In e na ional Con e ence on Pos -disas e Recons uc ion, Co en y Uni e si y, Co en y, UK.
Join UNEP/OCHA En i onmen Uni (JEU) 2010. Disas e Was e Managemen Guidelines, Join UNEP/OCHA
En i onmen Uni , Gene a.
Jü ne , U., Maklan, S. 2011. Supply chain esilience in he global i nancial c isis: an empi ical s udy. Supply Chain
Managemen : An In e na ional Jou nal, 16(4), 246-259.
Kamalahmadi, M., Pa as , M.M. 2017. An assessmen o supply chain dis up ion mi iga ion s a egies. In e na ional
Jou nal o P oduc ion Economics, 184: 210-230.
Ka unasena, G. 2011. Chap e 14: sus ainable pos -disas e was e managemen : C&D was e. in Ama a unga,
D. and Haigh, R. (Eds), Pos Disas e Recons uc ion o he Buil En i onmen : Rebuilding and Resilience,
Wiley-Blackwell, Ox o d, 251-267.
DOI 10.1515/ sbses-2017-0002
T ansac ions o he VSB - Technical uni e si y o Os a a
Sa e y Enginee ing Se ies
Vol. XII, No. 1, 2017
17
Ka unasena, G., Ama a unga, D., Haigh, R., Lill, I. (2009). Pos disas e was e managemen s a egies in de eloping
coun ies: case o S i Lanka. In e na ional Jou nal o S a egic P ope y Managemen , 13(2): 171-190.
Ka unasena, G., Ama a unga, D. 2016. Capaci y building o pos disas e cons uc ion and demoli ion was e
managemen A case o S i Lanka. Disas e P e en ion and Managemen , 25(2): 137-153.
Kou mpanis, B., Papadopoulos, A., Mous akas, K., S ylianou, M., Ha alambous, K.J., Lolijodou, M. 2008.
P elimina y s udy o he managemen o C&D was e. Was e Managemen & Resea ch, 26(3): 267-275.
Lee, H. 2004. The iple-A supply chain. Ha a d Bus. Re ., 102-112 Oc obe .
Le ei L, Shuming T. 2008. An a i i cial eme gency logis ics planning sys em o se e e disas e s. In elligen
T anspo a ion Sys ems, (7): 8689.
Li, N., Bece ik-Ge be , B., K ishnamacha i, B., Soibelman, L. 2014. A BIM cen e ed indoo localiza ion algo i hm
o suppo building i e eme gency esponse ope a ions. Au oma ion in Cons uc ion, 42: 78-89.
Lill, I., Pe e a, P. 2017. Economic impac o disas e s and he ole o disas e esilience. In e na ional Jou nal o
Disas e Resilience in he Buil En i onmen , 8 (1).
Liu, Z., Osmani, M., Demian, P., Baldwin, A. 2015. A BIM-aided cons uc ion was e minimisa ion amewo k.
Au oma ion in Cons uc ion, 59: 1-23.
Liu, Z., Osmani, M., Demian, P., Baldwin, A. 2011. The po en ial usage o BIM o aid cons uc ion was e
minimalisa ion. P oceedings o he CIB W78-W102 2011: In e na ional Con e ence, 26 h-28 h Oc obe 2011,
Sophia An ipolis, F ance, pape 53.
Liu, Y., Yin, K., Chen, L., Wang, W., Liu, Y. 2016. A communi y-based disas e isk educ ion sys em in Wanzhou,
China. In e na ional Jou nal o Disas e Risk Reduc ion, 19: 379-389.
Liza alde, G., Bouche , M. 2004. Lea ning om pos -disas e econs uc ion o p e-disas e planning. P oceedings
o he Second In e na ional Con e ence on Pos -disas e Recons uc ion: Planning o Recons uc ion, 22-23
Ap il, Co en y Uni e si y, Co en y, UK.
Lu, N., Thomas, K. 2010. Implemen a ion o building in o ma ion modeling (BIM) in modula cons uc ion:
bene i s and challenges, cons uc ion esea ch cong ess 2010: inno a ion o eshaping cons uc ion p ac ice,
P oceedings o he 2010 Cons uc ion Resea ch Cong ess, 1136-1145.
Lu, W., Webs e , C., Chen, K., Zhang, X., Chen, X. 2017. Compu a ional Building In o ma ion Modelling o
cons uc ion was e managemen : Mo ing om he o ic o eali y. Renewable and Sus ainable Ene gy Re iews,
68: 587-595.
Mandal, S., Sa a hy, R., Ko asiga, V.R., Bha acha ya, S., Das ida , S.G. 2016. Achie ing supply chain esilience
The con ibu ion o logis ics and supply chain capabili ies. In e na ional Jou nal o Disas e Resilience in he
Buil En i onmen , 7(5): 544 - 562.
Mie inen, R., Paa ola, S. 2014. Beyond he BIM u opia: App oaches o he de elopmen and implemen a ion o
building in o ma ion modeling. Au oma ion in Cons uc ion, 43: 84-91.
Mile i, D. 1999. Disas e s by Design: A Reassessmen o Na u al Haza ds in he Uni ed S a es. Joseph Hen y
P ess, Washing on, DC.
Papadopoulos, T., Gunaseka an, A., Dubey, R, Al ay, N., Childe, S.J., Fosso-Wamba, S. 2017. The ole o Big
Da a in explaining disas e esilience in supply chains o sus ainabili y. Jou nal o Cleane P oduc ion, 142:
1108-1118.
Pooyan, A., G i i s, F.H., Law ence, C. 2009. Building in o ma ion model: he ole and need o he cons uc o s,
Building a Sus ainable Fu u e. P oceedings o he 2009 Cons uc ion Resea ch Cong ess, 467-476.
Qua an elli, E.L. 1995. Wha is a disas e ? In e na ional Jou nal o Mass Eme gencies and Disas e s, 13(3): 221-9.
Qua an elli, D.R. 2008. A b ie no e on disas e es o a ion. Recons uc ion And Reco e y: A Compa a i e No e
Using Pos ea hquake Obse a ions, Uni e si y o Delawa e Disas e Resea chCen e P elimina yPape #359,
Delwa .
Richey, R.G. 2009. The supply chain c isis and disas e py amid. In e na ional Jou nal o Physical Dis ibu ion
and Logis ics Managemen , 39(7), 619-628.
Rüppel, U., Scha z, K. 2011. Designing a BIM-based se ious game o i e sa e y e acua ion simula ions. Ad anced
Enginee ing In o ma ics, 25, 600-611.
DOI 10.1515/ sbses-2017-0002