Microsoft Word - ETASR_V12_N5_pp9229-9232


Engineering, Technology & Applied Science Research Vol. 12, No. 5, 2022, 9229-9232 9229 
 

www.etasr.com Abdullah & Hatem: Assessing Critical Criteria for Historical Archeological Buildings in Iraq 

 

Assessing Critical Criteria for Historical 

Archeological Buildings in Iraq 
 

Oday Hammoody Abdullah 

Department of Civil Engineering 

University of Baghdad 

Baghdad, Iraq 

10984@uotechnology.edu.iq 

Wadhah Amer Hatem 

Baquba Technical Institute 

Middle Technical University 

Baghdad, Iraq 

wadhah1970wadhah@gmail.com 
 

Received: 18 June 2022 | Revised: 13 July 2022 | Accepted: 14 July 2022 

 

Abstract-This research was conducted to identify and evaluate 

the relative importance of the criteria in an archaeological 

building. Open and closed questionnaires were used and 

interviews with experts and specialists from many ministries and 

governorates were conducted to identify the most important 

criteria. The aim determines what factors influence historic 

archaeological building success, and which criteria should be 

used to determine the best response. The data were analyzed with 

the SPSS V25 program using the Relative Importance Index 

(RII) method to determine the relative importance of the 

considered 15 variables. RII allows the identification of the most 

important criteria based on responses from participants, and it is 

a useful tool for prioritizing indicators rated on Likert-type 

scales. The data were analyzed using a formula from a previous 

study's relative index analysis method. Providing information or 

a database of historic old buildings ranked first with RII = 92%, 

and providing information on the changes taking place in old 

buildings ranked second with RII = 88%. 

Keywords-construction projects; historic archaeological 

buildings; relative importance index 

I. INTRODUCTION  

Architectural and art historians, historical geographers, and 
local historians are among those who study the environment of 
historical archaeological buildings [1]. Archaeological 
discoveries of buried structures are frequently dismissed in 
favor of artifacts recovered from buried deposits associated 
with them [2]. The original architectural and structural system 
of approximately 25% of structures changes by restoration [3]. 
As a result, in some historical archaeology overviews, the study 
of buildings is virtually invisible. Instead, surveys of vernacular 
architecture studies are being conducted [4]. Others, aware of 
the importance of more integrated archaeology of buildings, 
find such perspectives strangely limited, whether in 
interpretations of Neolithic Europe or descriptions of 
mediaeval Britain [5]. Archaeologists around the world have 
used a variety of methods to focus their research and cultural 
resource management efforts on building remains that have 
survived above or below ground as wall foundations, floor 
surfaces, or post holes over the past 40 years, despite the 
general lack of attention paid to the study of buildings in the 
mainstream historical archaeology literature. Some of this 

material is reviewed in [6]. We argue that built structures are an 
important part of the material remains of the past 500 years and 
that their study should be integrated with the study of sites, 
artifacts, and landscapes. To quantify the relative importance 
indices of an exhaustive list of the criteria of historical 
archaeological building in Malaysia, the Relative Importance 
Index (RII) technique was used in [7]. The paper is divided into 
five sections based on the importance of historical, 
archaeological building factors. In this study, the RII technique 
was used to rank historical and archaeological building criteria 
[8]. The survey's findings revealed that ignorance of planning 
and building regulations, insufficient housing schemes, 
unrealistic zoning, and the location of land are important 
factors that influence unauthorized building sitting [9]. Data 
from previous related studies were analyzed using a formula 
for the relative index analysis method for historical/ 
archaeological buildings. The results revealed that site 
maintenance ranked first (RII = 0.836), warranty clauses in 
contract specifications to incorporate construction quality 
ranked second (RII = 0.830), and construction personnel 
training ranked third (RII = 0.826) [10]. The RII of the main 
criteria in descending order in [11] is: Experience & Past 
Performance (EP), Financial Stability (FS), Personnel 
Capabilities (PC), Equipment Capabilities (EC), Managerial 
Capabilities (MC), Health & Safety (HS), Past Relationships 
(RR), and Geographic Location of contractor (GL) [11]. 

II. IDENTIFYING IMPORTANT CRITERIA FOR HISTORICAL 
ARCHEOLOGICAL BUILDINGS 

Because different criteria apply to different areas, different 
authors considered different criteria for historical buildings. 
Previous research has identified a number of critical standards 
for historical and archaeological constructions (see Table I). 

III. RESEARCH OBJECTIVES 

The research objectives are: 

• To determine the factors that should be examined and taken 
into account when recommending a historical or 
archaeological structure. 

• Criteria ranking according to their RII values. 

Corresponding author: Oday Hammoody Abdullah               



Engineering, Technology & Applied Science Research Vol. 12, No. 5, 2022, 9229-9232 9230 
 

www.etasr.com Abdullah & Hatem: Assessing Critical Criteria for Historical Archeological Buildings in Iraq 

 

TABLE I.  IDENTIFIED CRITERIA FROM PREVIOUS STUDIES 

No. Criterion Symbol Ref. 

1 

Providing information or a database of 

historical old buildings 
C01 

[10] 

There are differences and intersections between 

architectural, construction, electrical and other 

disciplines 

C02 

Existence of complete plans as a reality for the 

old buildings 
C03 

2 

Having a regular maintenance system C04 

[11] Providing a schedule to determine the times of 

processing materials for maintenance 
C05 

3 

Existence of a facility management system C06 

[12] 

Availability of specialized staff using BIM 

technology 
C07 

There is coordination between the members of 

the team that design the architectural, 

construction, electrical, and other 

specializations 

C08 

4 

Presence of information on the changes taking 

place in old buildings, including additions and 

removals through time 

C09 

[13] 
Existence of a facility management system C10 

Availability of specialized staff using BIM 

technology in the department 
C11 

5 

Provides 3D models of old buildings C12 

[14] 

There is documentation of information on 

ancient buildings 
C13 

Damage and lost items are controlled on site C14 

There is continuous work to improve the quality 

of the design 
C15 

 

IV. RESEARCH METHODOLOGY 

The following points describe briefly the methodology of 
the current research: 

• Obtaining the necessary information and data during 
theoretical and field research on the study topic and using 
the research map to locate the historical/archaeological 
structure criteria. 

• Using an open questionnaire to collect data from a group of 
experts to identify the criteria. 

• Determining the criteria and selecting the study sample by 
using a closed questionnaire to collect data from the open 
questionnaire.  

• Ranking the criteria with the RII method from higher to 
lower importance on the given scale, i.e. 1-very low, 2-low, 
3-medium, 4-high, and 5-very high.  

V. PILOT STUDY FOR THE CLOSED QUESTIONNAIRE FORM 

A pilot study can be used to validate and evaluate closed 
questionnaires. Risk is vital to contractors, clients, and 
consultants within the construction industry; however, the 
problems of risk assessment are complex and poorly 
understood in practice [15]. A questionnaire run that includes 
testing of question formulation is known as a pilot study, in 
which the effectiveness of various data collection methods is 
assessed by identifying and testing the most challenging 
inquiries [16]. In this phase, the questions are checked for 
clarity and any issues that may arise are discovered. An 
assessment group with at least 15 years of experience was used 

for this pilot study's closed questionnaire distribution. 
Evaluation and assessment of the validity of the closed 
questionnaire form was carried out by experts, who confirmed 
the validity and suitability of the sections of the closed 
questionnaire form. All suggestions and comments were 
collected and rated, and all suggestions and proposed changes 
were discussed [17]. 

VI. CLOSED QUESTIONNAIRE FORM DISTRIBUTION 

Closed questionnaires were handed out to a selected group 
of participants. Fifty survey forms were collected out of 60 sent 
forms and some samples were excluded due to lack of data and 
information. In the end, 45 closed questionnaire forms were 
considered and analyzed. 

VII. QUANTITATIVE ANALYSIS DATA 

Quantitative data were gathered and analyzed using a 
statistical program (IBM/SPSS V25). The factors were 
calculated for ranking using the RII technique. RII was used to 
rank the importance of each recommendation provided by the 
respondents [18]. The RII of the criteria is calculated by [19]: 

RII =  � ∑��∗
 �    (1) 
where RII ranges from 0 to 1, W is the weight given to the 
factors by the responders, ranging from 1 to 5 (1 is less 
important and 5 is highly important), A is the total number of 
responses for that factor or option, and Z is the highest weight 
(in this case, 5). 

VIII. RELIABILITY AND VALIDITY TESTS 

Validity and reliability consider the most important method 
conditions for research tool design. Therefore, validity and 
reliability of the closed questionnaire forms must be provided 
before any statistical analyses data. The value of Reliability can 
be founded by finding the value of (Cronbach's Alpha, α) [20]. 

1) Reliability of Closed Questionnaire  

The term "reliability" refers to the measurement of true 
results and the stability and equality checks. Reliability is a 
necessary, but not sufficient factor in determining the viability 
of a tool for measuring historical building criteria. 

2) Validity of Closed Questionnaire 

More than any single statistical tool, it is necessary to 
establish a relationship between the assessment and the 
behavior it is meant to measure in order to determine its 
validity. It is critical that the test be valid to use and interpret 
the results correctly. Validity is equal to the square root of the 
coefficient of reliability [21]: 

V = √��     (6) 
where V is the validity and � the reliability. 

IX. STATISTICAL ANALYSIS  

The top test criteria were determined using the SPSS V25 
statistical program. The results are provided in the form of 
tables to make them more understandable and straightforward. 
Following the distribution and collection of completed 



Engineering, Technology & Applied Science Research Vol. 12, No. 5, 2022, 9229-9232 9231 
 

www.etasr.com Abdullah & Hatem: Assessing Critical Criteria for Historical Archeological Buildings in Iraq 

 

questionnaire forms, the next step was to determine a specific 
method for statistical and measurement purposes to complete 
the calculations and data analysis.  

1) Reliability  

Most the social science research situations use the 
Cronbach’s alpha. If it is more than 0.7, then the consistency 
index shows high reliability and it would be acceptable [18]. 
Table II shows the closed questionnaire's reliability for each 
criterion. 

TABLE II.  CRONBACH'S ALPHA FOR THE CLOSED QUESTIONNAIRE 

No. Criterion Cronbach's Alpha {����} 

1 

C01 0.920 

C02 0.810 

C03 0.780 

2 
C04 0.800 

C05 0.70 

3 

C06 0.77 

C07 0.87 

C08 0.88 

4 

C09 0.90 

C10 0.65 

C11 0.95 

5 

C12 0.88 

C13 0.75 

C14 0.77 

C15 0.70 

 

2) Validity  

Table III shows the validity of each criterion for the 
historical archaeological building in the closed questionnaire. 

TABLE III.  VALIDITY 

No. Criterion ���� Validity coefficient 

1 

C01 0.920 0.959 

C02 0.810 0.900 

C03 0.780 0.883 

2 
C04 0.800 0.894 

C05 0.700 0.836 

3 

C06 0.770 0.877 

C07 0.870 0.932 

C08 0.880 0.938 

4 

C09 0.900 0.948 

C10 0.680 0.824 

C11 0.950 0.974 

5 

C12 0.880 0.938 

C13 0.750 0.866 

C14 0.770 0.877 

C15 0.700 0.836 

 

X. ANALYSIS OF THE CLOSED QUESTIONNAIRE FORMS 

The first stage of a closed questionnaire is a description of 
the sample members' general experience. The second stage is 
an assessment of the criteria. Respondents were asked to mark 
(spot) the criteria of historical archaeological buildings that 
they thought were important in a closed questionnaire and RIIs 
were calculated. The analysis and discussion of the results will 
be according to the parts mentioned, so each axis will be 
analyzed and discussed separately. 

A. Part Οne: (Personal Information) 

Part one includes the personal information in closed 
questionnaire forms. 

1) Scientific Qualifications 

Table IV shows the frequency distribution of respondents 
according to their scientific qualification. 

TABLE IV.  SCIENTIFIC QUALIFICATIONS 

Scientific qualification Frequency Percentage 

BSc 23 51.00% 

MSc 12 27.00% 

PhD 10 22.22% 

Total 45 100.00% 

 

2) Engineering Specialization 

Table V shows the engineering specialization of the 
respondents. 

TABLE V.  ENGINEERING SPECIALIZATION 

Engineering specialization Frequency Percentage 

Civil 24 53.33% 

Electricity 6 13.33% 

Architectural 5 11.11% 

Mechanical 4 8.89% 

Environment 3 6.67% 

Chemical 3 6.67% 

Total 45 100.00% 

 

3) Actual Experience 

Table VI shows the experience of the respondents. 

TABLE VI.  EXPERIENCE 

Actual experience Frequency Percentage 

(15-20) 15 33.33% 

(21-25) 5 11.11% 

(26-30) 11 24.45% 

More than 30 14 31.11% 

Total 45 100.00% 

 

4) Labor Sector 

The respondents' distribution according to the labor sector 
is shown in Table VII. 

TABLE VII.  LABOR SECTOR 

Labor sector Frequency Percentage 

Public 35 77.78% 

Private 10 22.22% 

Total 45 100.00% 

 

B. Part Two: Evaluation of the Criteria 

Part two includes the evaluation of the criteria for historical 
archaeological buildings from the respondents. Each question 
will be analyzed by RII to find the criteria ranking. Table VIII 
shows the analysis and ranking of the criteria from higher to 
lower importance. 



Engineering, Technology & Applied Science Research Vol. 12, No. 5, 2022, 9229-9232 9232 
 

www.etasr.com Abdullah & Hatem: Assessing Critical Criteria for Historical Archeological Buildings in Iraq 

 

TABLE VIII.  CRITERIA ANALYSIS AND RANGING BY RII FOR 
HISTORICAL ARCHAEOLOGICAL BUILDINGS 

Criterion 
Very 

high 
High Medium Low 

Very 

low 
Ranking 

C01 30 12 3 0 0 92% 

C09 26 15 3 1 0 88% 

C15 21 16 8 0 0 86% 

C10 21 14 8 2 0 84% 

C02 12 28 4 1 0 82% 

C03 8 30 7 0 0 80% 

C11 7 29 9 0 0 79% 

C08 15 15 10 5 0 78% 

C12 8 23 13 1 0 76% 

C06 8 21 15 1 0 75% 

C04 10 19 10 6 0 74% 

C07 7 17 20 1 0 73% 

C05 13 13 11 5 3 72% 

 

XI. CONCLUSION 

The development of a set of evaluation criteria for historical 
and archaeological structures is described in this paper. Based 
on a thorough literature review, fieldwork, and discussion with 
selected experts from many governorates, a total of 15 criteria 
were identified in this study. RII calculation and analysis was 
used to rank the criteria from the most to the least important. 
The researchers were able to compare the relative importance 
of the criteria as perceived by respondents using these rankings. 
The first criterion is the provision of information or a database 
of old historical buildings which received the 92% of the vote, 
indicating that this criterion is very important. Most of the 
criteria are construction activities, indicating that respondents 
agreed that historical and archaeological building criteria 
should be implemented. Ministries and local governments can 
use the findings of this study to develop historical and 
archaeological structures, as well as using it as a pilot study to 
get feedback from a group of experts. Experts were contacted 
to assess the questionnaire's validity and to confirm the 
suitability of the items for the research goals in order to 
identify any flaws in the questionnaire. 

ACKNOWLEDGEMENT 

This project is supported by the Ministry of Planning, Iraq, 
and the University of Baghdad.  

REFERENCES 

[1] E. Ziglio, Gazing into the Oracle: The Delphi Method and its Application 
to Social Policy and Public Health, 1st ed. London, UK: Jessica 
Kingsley, 1996. 

[2] O. P. Akadiri, "Development of a Multi-Criteria Approach for the 
Selection of Sustainable Materials for Building Projects," Ph.D. 
dissertation, University of Wolverhampton, Wolverhampton, UK, 2011. 

[3] H. I. Polat, "A Classification Study on the Development Stages of 
Construction Technologies in Turkey," Engineering, Technology & 
Applied Science Research, vol. 7, no. 5, pp. 1909–1913, Oct. 2017, 
https://doi.org/10.48084/etasr.1606. 

[4] S. Balubaid et al., "Assessment Index Tool for Green Highway in 
Malaysia," Jurnal Teknologi, vol. 77, no. 16, Nov. 2015, https://doi.org/ 
10.11113/jt.v77.6405. 

[5] J. M. Bryce, Developing Sustainable Transportation Infrastructure 
Exploring the Development and Implementation of a Green Highway 
Rating System. Washington, DC, USA: ASTM International, 2008. 

[6] A. L. Delbecq and A. V. D. Ven, Group techniques for program 
planning: A guide to nominal group and Delphi processes. Glenview, 
IL, USA: Scott, Foresman, 1975. 

[7] G. Fernández-Sánchez and F. Rodríguez-López, "A methodology to 
identify sustainability indicators in construction project management—
Application to infrastructure projects in Spain," Ecological Indicators, 
vol. 10, no. 6, pp. 1193–1201, Nov. 2010, https://doi.org/10.1016/ 
j.ecolind.2010.04.009. 

[8] A. Griffith and K. Bhutto, "Better environmental performance: A 
framework for integrated management systems (IMS)," Management of 
Environmental Quality: An International Journal, vol. 20, no. 5, pp. 
566–580, Jan. 2009, https://doi.org/10.1108/14777830910981230. 

[9] R. E. Anderson, R. L. Tatham, W. C. Black, and J. F. Hair, Multivariate 
Data Analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall College 
Div, 1998. 

[10] K. Nikumbh and P. D. Aher, "A review paper - Study of green highway 
rating system," International Research Journal of Engineering and 
Technology, vol. 4, no. 5, pp. 2014–2018, 2017. 

[11] A. Khoso, N. Memon, S. Sohu, F. H. Siddiqui, and J. Khan, "Decision 
Criteria For Assessment Of Contractors In Prequalification Phase Of 
Public Projects," International Journal of Advanced Science and 
Technology, vol. 29, no. 11s, pp. 2624–2635, Jun. 2020. 

[12] S. R. Sahamir, R. Zakaria, G. Alqaifi, N. I. A. Abidin, and R. R. R. M. 
Rooshdi, "Investigation of Green Assessment Criteria and Sub-criteria 
for Public Hospital Building Development in Malaysia," Chemical 
Engineering Transactions, vol. 56, pp. 307–312, Mar. 2017, 
https://doi.org/10.3303/CET1756052. 

[13] M. Soderlund, "Sustainable Roadway Design - A Model For An 
Environmental Rating System," M.S. thesis, University of Washington, 
Washington DC, USA, 2007. 

[14] M. Loosemore and T. Uher, Essentials of Construction Project 
Management. NewSouth Publishing, 2003. 

[15] U. H. Issa, M. A. Farag, L. M. Abdelhafez, and S. A. Ahmed, "A Risk 
Allocation Model for Construction Projects in Yemen," Civil and 
Environmental Research, vol. 7, no. 3, pp. 78–88, 2015. 

[16] N. M. N. Saeed and A. S. Hasan, "The Effect of Total Quality 
Management on Construction Project Performance," Journal of Science 
and Technology, vol. 17, no. 2, pp. 11–30, 2012, https://doi.org/ 
10.20428/jst.v17i2.93. 

[17] J. D. Princy and S. Shanmugapriya, "A Probabilistic Fuzzy Logic 
Approach to Identify Productivity Factors in Indian Construction 
Projects," Journal of Construction Engineering and Project 
Management, vol. 7, no. 3, pp. 39–55, 2017, https://doi.org/10.6106/ 
JCEPM.2017.9.29.039. 

[18] J. N. Gatitu, C. K. Kabubo, and P. Ajwang, "Approaches on Mitigating 
Variation Orders in Road Construction Industry in Kenya: The Case of 
Kenya National Highways Authority (KeNHA)," Engineering, 
Technology & Applied Science Research, vol. 10, no. 5, pp. 6195–6199, 
Oct. 2020, https://doi.org/10.48084/etasr.3737. 

[19] R. A. Majeed and H. K. Breesam, "The criteria for selecting the landfill 
sites in Baghdad governorate," IOP Conference Series: Materials 
Science and Engineering, vol. 1090, no. 1, Nov. 2021, Art. no. 012013, 
https://doi.org/10.1088/1757-899X/1090/1/012013. 

[20] F. Magalhaes, Facing the Challenges of Informal Settlements in Urban 
Centers: The Re-urbanization of Manaus, Brazil. Washington DC, USA: 
Inter-American Development Bank. 

[21] R. A. Majeed and H. K. Breesam, "Application of SWARA Technique 
to Find Criteria Weights for Selecting Landfill Site in Baghdad 
Governorate," IOP Conference Series: Materials Science and 
Engineering, vol. 1090, no. 1, Nov. 2021, Art. no. 012045, 
https://doi.org/10.1088/1757-899X/1090/1/012045. 

[22] M. A. Akhund, H. U. Imad, N. A. Memon, F. Siddiqui, A. R. Khoso, and 
A. A. Panhwar, "Contributing Factors of Time Overrun in Public Sector 
Construction Projects," Engineering, Technology & Applied Science 
Research, vol. 8, no. 5, pp. 3369–3372, Oct. 2018, https://doi.org/ 
10.48084/etasr.2276.