the causes of air crashes in pakistan; a research based project of business research method

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    The Causes of AirCrashes (Air Disasters)

    Occurred in the

    Territory of Pakistan.A Survey based project of Business Research Method

    Report

    On

    Aslam A., Khalid A., Sharjeel-ur-Rehman M., Batool Y., Khan G. N.

    5th semester, BS Aviation Management, Aviation department, Superior

    University, Lahore.

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    Business Research Method

    Course:

    BS (Hons.) in Aviation Management

    5TH

    Semester

    Course Instructor:

    Sir Nadeem Iqbal

    Submitted By:

    Arslan Khalid BAM-9222

    M.Sharjeel-ur-Rehman BAM-9225

    Arslan Aslam BAM-9234

    Yumna Batool BAM-9242

    Gulnawaz Khan BAM-9248

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    Report On

    The Causes of Air Crashes (Aircraft Disasters) Occurred

    In the Territory Of Pakistan

    Research Conducted By

    Khalid A., Sharjeel-ur-Rehman M., Aslam A., Batool Y., Khan G. N.

    Aviators, 5Th

    Semester, BS (Hons.)in Aviation Management,

    Aviation Department, College of Business and Management Sciences, Superior University,

    Lahore.

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    Contents Page no.

    Abstract..05

    Introduction.06

    Purpose Statement...........................................................................08

    Significance of the Research.08

    Objectives.....09

    Research questions and hypotheses...09

    Methodology

    Site and Sample..12

    Data Collection Method...12

    Data Analysis.....13

    Rliability.13

    Graphical representation of variables..13

    Correlations.21

    Regression36

    Conclusion...38

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    ABSTRACT

    This research based report is to find out the Causes of Air crashes occurred in Pakistan to

    bring the facts about the air crashes in front of common people. The study is quantitative in

    nature (Positivism paradigm). After reading the previous literature on a global scale, we focus

    on some causes of air crashes as independent variables like pilot errors, technical faults,

    organizational factors, safety and security issues and weather conditions, in our research and

    the dependent variable; air crashes, that is affected by independent variables. Hypotheses were

    also made to test the relationships of factors affecting the air crashes in Pakistan. Data for the

    research is collected from Lahore, Pakistan through self- administered questionnaires filled by

    the professionals including ATCOs, Pilots and CEOs of aviation organizations. Collected data was

    analyzed through SPSS (Statistical Package for Social Sciences) and the conclusion is experiment

    based.

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    Introduction

    Firstly an air crash is defined as serious air accidents (crash) means ; An aviation accident is

    defined in the Convention on International Civil Aviation Annex 13 as an occurrence associated

    with the operation of an aircraft which takes place between the time any person boards the

    aircraft with the intention of flight and all such persons have disembarked, in which a person is

    fatally or seriously injured, the aircraft sustains damage or structural failure or the aircraft is

    missing or is completely inaccessible.

    Humans, by nature, make mistakes and 70% to 80 % crashes both in civil and military aviation

    are due to human error.(OHare, Wiggins, Batt, & Morrison, 1994; Wiegmann and Shappell,

    1999; Yacavone, 1993). The air crashes due to mechanical failure has been decreased since last

    40 years and human error has declined at much slower rate. (Shappell & Wiegmann, 1996).

    When a plane goes down, the initial concern is to find survivors and save lives. But immediately

    thereafter the investigators focus changes to assessing the cause. It is vital for investigators to

    find the reasons behind crashes so that similar disasters can be prevented. But the causes of

    airplane crashes today are rarely traced to just one problem, and they are not easy to

    determine amidst the chaos and wreckage of a downed airplane. Complex factors generally

    combine to bring down a plane. Bad weather, like thunderstorms or fog, can compound pilot

    error, while small mechanical problems can affect other aspects of a plane's ability to function.

    There are so many causes of air crashes like safety and security issues, organizational factors,

    bird strike, terrorism etc. (NTSB Classification)

    3 air crashes have been occurred during four months in 2010.

    The beech craft plane crashed in Karachi was due to engine failure. (Butt C.M.A. 2010) A bird

    strike is the likely cause for the crash of a Russian-made Il-76 cargo plane in Pakistan that killed

    all eight crewmembers on board. (Tamazashvili D. director of the Georgian airline 2010)

    Approximately 80% of air crashes occurs during landing and takeoff. Mid air disaster are very

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    rare. Pilot error is supposed to be a major cause of air crashes. Terrorist activity like bomb

    blasts is a major cause of air crashes, e.g. Lockerbie disaster in 1988. Mid-air collisions and

    structural failures are rare but they do happen.A survey of1,843 plane crashes between 1950 and

    2006 determined the causes of the accidents ;Pilot Error 53% Mechanical Failure 21%

    Weather 11% Other Human Error (e.g. lack of communication, improper maintenance etc) 8%

    Sabotage and Terrorism 6% Other Causes 1%. 72 0f 75 air accidents are due to pilot factors such

    as poor judgment , divided attention and failure to make correct judgments and organizational

    structure or the system itself , of which the pilot and the other aircrew are only a part, plays an

    equal role for air crashes.(Bureau of Air Safety Investigation, (BASI)1996.)

    Air crashes occurred are due to pilot error whether pilot error related to weather and it is

    related to mechanical failure, Sabotage includes explosive devices, shoot downs and hijackingsmay be a cause of air crashes. (PlaneCrashInfo.com database)

    A major airline disaster was in 2006, when a 27-year-old Fokker plane crashed into a wheat field

    in Multan two minutes after taking off. The same year, Pakistan International Airlines

    discontinued use of Fokker planes. The reason was safety issues. (The Associated Press, 2006).

    A passenger jet Air Blue A320 crashed into the hills overlooking Pakistan's capital amid poor

    weather Wednesday, killing all 152 people on board and blazing a path of devastation strewn

    with body parts and twisted metal wreckage. The Pakistan Airline Pilot Association

    said the plane appeared to have strayed off course, possibly because of the poor weather.

    Our research will be beneficial not only for Pakistani but all the people will be aware of it. This

    research will determine the facts about the air crashes in Pakistani context and no research has

    been conducted before on air crashes in Pakistani context except the inquiry team of Civil

    Aviation Authority of Pakistan and media news. Many investigations and researches had been

    conducted on air crashes that occurred in foreign countries but no research has been done onair crashes happened in Pakistan. When an air disaster occurs in Pakistan, foreign investigations

    team demands black box for investigation and they investigates properly (they decode the cock

    pit voice recorders and find out facts) but we (people) dont get the realities about air crashes

    Actually General Aviation is both too diverse and its accident reports too limited in content, The

    organizations behind each General Aviation operation are limited to few people, and flight data

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    are rarely recorded that may allow an analysis of the communication and actions prior to an

    accident. This research will bring facts about air crashes. This study aims to find out the causes

    of air disasters occurred in the territory of Pakistan.

    Purpose Statement

    The purpose of this survey based study is to determine the Causes of Air crashes that

    happened in the territory of Pakistan. The aim of this study is evaluate how many air crashes

    happened due to pilot errors, Technical faults, safety and security issues, organizational factors

    etc. To find out the most frequent cause of air crashes occurred in Pakistan, is also the purpose

    of this research.

    Significance of the Study

    Independent media culture is to be found in Pakistan; Pakistanis consult media to be aware of

    the environment. When an air disaster happens in Pakistan, and there is a question mark in the

    minds of the people; why and how did it happen, what was the reason behind it, media focuses

    on sayings of some officials that draw out the causes of an air disaster for answering the

    people. Investigation team or inquiry team of CAAP (Civil Aviation Authority of Pakistan)

    investigates the happenings very consciously and report the authority but people did not find

    the facts about air crashes; what actually was reason behind an air crash. Only very small

    number of people knew the true facts about air crashes and they dont appear in the media.

    Some persons with strong aviation background define the causes with their own opinions but

    there is doubt in them.

    Our research will be helpful to bring the reality in front of Pakistanis. It will also be helpful for

    aviators and non aviators because research on air crashes has not been conducted in Pakistan

    before except CAA Inquiry team. People focus on independent media so they didnt get the

    realities and our research will provide the facts.

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    Objectives of the Research

    To determine the causes of air disasters happened in Pakistan.

    To indentify the opinions of Pilots, ATCOs, CEOs of aviation industries about the air

    crashes in Pakistan. To compare the present study in Pakistan from study world wide about air crashes.

    To make people aware with facts and figures about air disasters occurred in Pakistan.

    Research Questions and Hypotheses

    Research Questions

    Main Question

    What are the causes of air crashesoccurred in the territory of Pakistan?

    Sub Questions

    What are the opinions of professionals from aviation sector about the air crashes in

    Pakistan?

    Which factor like pilot errors, organizational factors, weather conditions, affects more

    for being cause of air crashes in Pakistan?

    What are acceptable causes of air crashes according to people in Pakistani context?

    How much safety and security issues affects on air crashes?

    How air crashes can be reduced?

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    Hypothesis

    Theoretical framework

    Independent variables Dependent variable

    1. H0= There is no relationship between pilot error and air crashes occurred in Pakistan.

    H1= There is a relationship between pilot error and air crashes occurred in Pakistan.

    The correlation shows the value less than 0.05 between pilot error and air crashes soH1

    is accepted andH0is rejected, referred as figure1.1, on page # 25.

    Weather

    conditions

    Technical

    errors

    Safety and

    security issues

    Organizational

    factors

    Pilot

    errors

    Air crashes

    occurrence in

    Pakistan

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    2. H0= There is no relationship between technical faults and air crashes occurred.

    H1= There is a relationship between technical faults and air crashes occurred.

    The correlation between technical faults and air crashes shows the value less than 0.05

    soH1 is accepted andH0 is rejected, referred as figure1.2, on page # 29.

    3. H0= There is no relationship between weather and air crashes occurred in Pakistan.

    H1= There is a relationship between weather and air crashes occurred in Pakistan.

    The correlation between weather and air crashes shows the value less than 0.05 so H1

    is accepted andH0 is rejected, referred as figure1.3, on page # 32.

    4. H0= There is no relationship between organizational factors and air crashes occurred in

    Pakistan.

    H1= There is a relationship between organizational factors and air crashes occurred in

    Pakistan.

    The correlation between organizational factors and air crashes shows the value less than

    0.05 soH1is accepted andH0 is rejected, referred as figure1.4, on page # 34.

    5. H0= There is no relationship between safety and security issues and air crashes in

    Pakistan.

    H1= There is a relationship between safety and security issues and air crashes in

    Pakistan.

    The correlation between safety and security issues and air crashes shows the value

    greater than 0.05 so H1 is rejected andH0is accepted, referred as figure1.5, on page #

    35.

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    Methodology of the Study

    Site and Sample

    Data for this research is collected from Lahore, Pakistan. Our population is aviation

    organizations and the samples for data collection are: Hybrid Aviation and Lahore Flying Club

    at Walton aerodrome Lahore, Allama Iqbal International airport (CAA of Pakistan) and Scaled

    Aviation Industries (pvt.) Limited at Walton aerodrome. The data was collected from the

    employees of aviation sector including both males and females. All these people are

    professionals; ATCOs (air traffic control officers), Pilots, CEOs of aviation organizations. There

    were senior air traffic controllers (SATCOs), assistant air traffic control officers (AATCOs), CEOs

    of aviation organizations, pilots including Commercial and Cadet Pilots and PAF retired pilots for

    data collection.

    We chose simple random, convenience sampling techniques (non probability) and snow ball

    sampling technique. (Probability)

    Methods of Data Collection

    This research is quantitative in nature, so a questionnaire was developed and took respondents

    views/opinions on self administered questionnaires. Close ended questions were asked in the

    questionnaire. Every variable (whether independent or dependent) has 3 to 6 questions, total

    we have 28 questions in the questionnaire to measure the variables.

    The number of total filled questionnaires is 28.

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    Data Analysis Procedures

    Reliability of the Data

    Scale: ALL VARIABLES

    Case Processing Summary

    N %

    Cases Valid 22 78.6

    Excludeda

    6 21.4

    Total 28 100.0

    Reliability Statistics

    Cronbach's

    Alpha N of Items

    .775 34

    Frequency Distribution and Bar charts of Nominal and Ordinal

    Variables

    Gender (nominal) variable

    FrequenciesStatistics

    Gender

    N Valid 28

    Missing 0

    Gender

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid Male 27 96.4 96.4 96.4

    Female 1 3.6 3.6 100.0

    Total 28 100.0 100.0

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    Interactive Graph (Gender)

    In above bar chart graph, the vertical column of male side is showing the numbders of

    males who filled questionnaire who are 27 and other column shows number of females

    which is only 1 as shown in the tables above.

    Designation (Nominal) variable

    FrequenciesStatistics

    Designation

    N Valid 27

    Missing 1

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    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid ATCO 10 35.7 37.0 37.0

    CEO 2 7.1 7.4 44.4

    Pilots 13 46.4 48.1 92.6

    Retd. PAF Pilots 2 7.1 7.4 100.0

    Total 27 96.4 100.0

    Missing 56 1 3.6

    Total 28 100.0

    Interactive Graph

    In the graph and table above, shows that designations and their number from which we

    collect data. Most of the data was collected from pilots wich were 13 and we also

    collected data from ATCOs which were 10. PAF retired pilots and CEOs of aviationindustries are equal in quantity (2).

    Designation

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    Five Figure Summary of Variable (Scale) and their Histograms

    Organization (Scale) Variable

    Frequencies Interactive Graph

    The above table shows the five figure summary of scale variable named Organization.In

    the table, we calculate/describe five figure summary which includes mean value, mode,

    median, minimum value and maximum value which values are 2.19, 1a, 2.00,1 and 5

    respectively and the histogram above describes the peak value or curve shape for the

    organizations which indicates that maximum value that are in between 1 to 4.75 and

    above 5 are lower values of organizations like other aviation organizations.

    Statistics

    Organization

    N Valid 27

    Missing 1

    Mean 2.19

    Median 2.00

    Mode 1a

    Minimum 1

    Maximum5

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    Pilot Error (Scale variable)

    Frequencies Interactive Graph

    In above table, shows the five figures summary of Pilot error. Mean value of pilot error

    variable 2.41, median 2.40, mode, maximum 3, minimum 1 are shown in the above

    table. The histogram shows high and low values for pilot error such as from 2 to 3.3 are

    agreed that pilot error is a reason for air crashes in Pakistan an values less than 2 are

    disagreed and above 4 are those that are strongly agreed.

    Statistics

    Piloterror

    N Valid 28

    Missing 0

    Mean 2.41

    Median 2.40

    Mode 2a

    Minimum 1

    Maximum 3

    Percentiles 25 2.20

    50 2.40

    75 2.80

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    Organizational Factors Variable

    Frequencies Interactive Graph

    Safety and Security Issues Variable

    Frequencies Interactive Graph

    Statistics

    Organizationalfactors

    N Valid 28

    Missing 0

    Mean 1.9768

    Median 1.9167

    Mode 1.67a

    Minimum 1.17

    Maximum 3.17

    Percentiles 25 1.6667

    50 1.9167

    75 2.2292

    Statistics

    Safetyandsecurityissues

    N Valid 28

    Missing 0

    Mean 2.12

    Median 2.25

    Mode 2

    Minimum 1

    Maximum 4

    Percentiles 25 1.75

    50 2.25

    75 2.50

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    Air Crashes Variable

    Frequencies Interactive GraphStatistics

    Aircrashes

    N Valid 28

    Missing 0

    Mean 2.46

    Median 2.33

    Mode 2

    Minimum 1

    Maximum 4

    Percentiles 25 2.00

    50 2.33

    75 2.67

    In all above histograms and their tables, five figures summary of scale variables are

    given in tables and their high (peak) and low values of variables are shown like from1.5

    to 3.5 are the values of agreed people and minimum numbers of people that are not

    agreed less than 1.5 are not agreed with the causes of air crashes in Pakistan and above

    3.5 shows that there is strongly agree ness with air crashes.The adequate vertical curve

    shows that data is distributed equally.

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    Correlations between Variables with Scatter plot (graph) and tests

    applications

    Pilot Error and Technical Faults

    Interactive Graph

    This graph shows a correlation between pilot error and technical faults and a linear and

    quadratic relations were applied and by seeing the difference between the values given

    in the graph like, 0.172-0.11=0.062 which is greater than 0.05 and spearmans test is

    applied on it which details are shown below in the table.

    Nonparametric CorrelationsCorrelations

    Piloterror Technicalfaults

    Spearman's rho Piloterror Correlation Coefficient 1.000 .174

    Sig. (2-tailed) . .377

    N 28 28

    Technicalfaults Correlation Coefficient .174 1.000

    Sig. (2-tailed) .377 .

    N 28 28

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    Pilot Error andWeather Conditions

    Interactive Graph

    The above graph explains the correlation of pilot error and weather conditions and the

    values of linear and quadratic relations are 0.003-0.002=0.001 which is less than 0.05 so

    Pearsons test was applied on it which is shown in the table below.Less than 0.05

    represents that H0 is rejected and H1 is accepted which means that there is a

    relationship between the pilot error and weather conditions.

    CorrelationsCorrelations

    Piloterror

    Weathercondition

    s

    Piloterror Pearson Correlation 1 .048

    Sig. (2-tailed) .809

    N 28 28

    Weatherconditions Pearson Correlation .048 1

    Sig. (2-tailed) .809

    N 28 28

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    Pilot Error and Safety and Security issue

    Interactive Graph

    CorrelationsCorrelations

    Piloterror

    Safetyandsecurity

    issues

    Piloterror Pearson Correlation 1 .369

    Sig. (2-tailed) .053

    N 28 28

    Safetyandsecurityissues Pearson Correlation .369 1

    Sig. (2-tailed) .053

    N 28 28

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    Pilot Error and Air Crashes

    Interactive Graph

    This graph shows a correlation between pilot error and air crashes and a linear and

    quadratic relations were applied and by seeing the difference between the values given

    in the graph 0.073-0.014=0.059 which is greater than 0.05 and spearmans test is

    applied on it which details are shown below in the table. The value greather than 0.05

    represents that H0 is accepted H1 is rejected which means that there is no relationship

    between air crashes and pilot error in Pakistan.

    Nonparametric CorrelationsCorrelations

    Piloterror Aircrashes

    Spearman's rho Piloterror Correlation Coefficient 1.000 .021

    Sig. (2-tailed) . .916

    N 28 28

    Aircrashes Correlation Coefficient .021 1.000

    Sig. (2-tailed) .916 .

    N 28 28

    Figure 1.1

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    Technical Faults andWeather Conditions

    Interactive Graph

    Correlations

    Correlations

    Technicalfaults

    Weathercondition

    s

    Technicalfaults Pearson Correlation 1 .197

    Sig. (2-tailed) .315

    N 28 28

    Weatherconditions Pearson Correlation .197 1

    Sig. (2-tailed) .315

    N 28 28

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    Technical Faults and Organizational Factors

    Interactive Graph

    Correlations

    Correlations

    Technicalfaults

    Organizationalfac

    tors

    Technicalfaults Pearson Correlation 1 .348

    Sig. (2-tailed) .070

    N 28 28

    Organizationalfactors Pearson Correlation .348 1

    Sig. (2-tailed) .070

    N 28 28

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    Technical Faults and Safety and Security Issues

    Interactive Graph

    CorrelationsCorrelations

    Technicalfaults

    Safetyandsecurity

    issues

    Technicalfaults Pearson Correlation 1 .549**

    Sig. (2-tailed) .003

    N 28 28

    Safetyandsecurityissues Pearson Correlation .549**

    1

    Sig. (2-tailed) .003

    N 28 28

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    Technical Factors and Air Crashes

    Interactive Graph

    This graph shows a correlation between technical faults and air crashes and a linear and

    quadratic relations were applied and by seeing the difference between the values given

    in the graph 0.095-0.087=

    0.008 which is less than 0.05 and pearsons test is applied on itwhich details are shown below in the table. The value less than 0.05 represents that H0

    is rejected and H1 is accepted which means that there is a relationship between air

    crashes and technical faults in Pakistan.

    CorrelationsCorrelations

    Technicalfaults Aircrashes

    Technicalfaults Pearson Correlation 1 .295

    Sig. (2-tailed) .128

    N 28 28

    Aircrashes Pearson Correlation .295 1

    Sig. (2-tailed) .128

    N 28 28

    Figure1.2

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    Weather Conditions and Organizational Factors

    Interactive Graph

    CorrelationsCorrelations

    Weathercondition

    s

    Organizationalfac

    tors

    Weatherconditions Pearson Correlation 1 .367

    Sig. (2-tailed) .055

    N 28 28

    Organizationalfactors Pearson Correlation .367 1

    Sig. (2-tailed) .055

    N 28 28

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    Weather Conditions and Safety and Security Issues

    Interactive Graph

    CorrelationsCorrelations

    Weathercondition

    s

    Safetyandsecurity

    issues

    Weatherconditions Pearson Correlation 1 .105

    Sig. (2-tailed) .594

    N 28 28

    Safetyandsecurityissues Pearson Correlation .105 1

    Sig. (2-tailed) .594

    N 28 28

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    Weather Conditions and Air Crashes

    Interactive Graph

    This graph shows a correlation between weather conditions and air crashes and a linear

    and quadratic relations were applied and by seeing the difference between the values

    given in the graph 0.207-.0201=0.006 which is less than 0.05 and pearsons test is

    applied on it which details are shown below in the table. The value less than 0.05

    represents that H0 is rejected and H1 is accepted which means that there is a

    relationship between weather conditions and air crashes in Pakistan.

    Correlations

    Correlations

    Weathercondition

    s Aircrashes

    Weatherconditions Pearson Correlation 1 .448*

    Sig. (2-tailed) .017

    N 28 28

    Aircrashes Pearson Correlation .448*

    1

    Sig. (2-tailed) .017

    N 28 28

    Figure 1.3

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    Organizational Factors and Safety and Security Issues

    Interactive Graph

    Correlations

    CorrelationsOrganizationalfac

    tors

    Safetyandsecurity

    issues

    Organizationalfactors Pearson Correlation 1 .187

    Sig. (2-tailed) .341

    N 28 28

    Safetyandsecurityissues Pearson Correlation .187 1

    Sig. (2-tailed) .341

    N 28 28

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    Organizational Factors and Air Crashes

    Interactive Graph

    This graph shows a correlation between organizational factors and air crashes and a

    linear and quadratic relations were applied and by seeing the difference between the

    values given in the graph 0.005-0.024=0.019 which is less than 0.05 and pearsons test is

    applied on it which details are shown below in the table. The value less than 0.05

    represents that H0 is rejected and H1 is accepted which means that there is a

    relationship between organizational factors and air crashes in Pakistan.

    CorrelationsCorrelations

    Organizationalfac

    tors Aircrashes

    Organizationalfactors Pearson Correlation 1 .068

    Sig. (2-tailed) .729

    N 28 28

    Aircrashes Pearson Correlation .068 1

    Sig. (2-tailed) .729

    N 28 28

    Figure 1.4

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    Safety and Security Issues and Air Crashes

    Interactive Graph

    This graph shows a correlation between safety and security issues and air crashes and a

    linear and quadratic relations were applied and by seeing the difference between the

    values given in the graph 0.077-0.006=0.071 which is greater than 0.05 andspearmans

    test is applied on it which details are shown below in the table. The value greater than

    0.05 represents that H0 is accepted and H1 is rejected which means that there is no

    relationship between safety and security issues and air crashes in Pakistan.

    Nonparametric CorrelationsCorrelations

    Safetyandsecurity

    issues Aircrashes

    Spearman's rho Safetyandsecurityissues Correlation Coefficient 1.000 .204

    Sig. (2-tailed) . .299

    N 28 28

    Aircrashes Correlation Coefficient .204 1.000

    Sig. (2-tailed) .299 .

    N 28 28

    Figure 1.5

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    Regression

    Variables Entered/Removedb

    Model Variables Entered

    Variables

    Removed Method

    1 Safetyandsecurity

    issues,

    Weathercondition

    s, Piloterror,

    Organizationalfac

    tors,

    Technicalfaultsa

    . Enter

    a. All requested variables entered.

    b. Dependent Variable: Aircrashes

    Model Summary

    Model R R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    1 .543a

    .295 .135 .529

    a. Predictors: (Constant), Safetyandsecurityissues, Weatherconditions,

    Piloterror, Organizationalfactors, Technicalfaults

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 2.577 5 .515 1.839 .147a

    Residual 6.165 22 .280

    Total 8.742 27

    a. Predictors: (Constant), Safetyandsecurityissues, Weatherconditions, Piloterror,

    Organizationalfactors, Technicalfaults

    b. Dependent Variable: Aircrashes

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    Coefficientsa

    Model

    Unstandardized Coefficients

    Standardized

    Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 1.685 .623 2.705 .013

    Piloterror .118 .212 .112 .555 .585

    Technicalfaults .296 .208 .322 1.423 .169

    Weatherconditions .366 .149 .477 2.459 .022

    Organizationalfactors -.305 .282 -.225 -1.081 .291

    Safetyandsecurityissues -.132 .199 -.146 -.662 .515

    a. Dependent Variable: Aircrashes

    We have theformula as shown below;

    y= a + bx1 + cx2 + dx3 +ex4..

    y= Dependent Variable; Air Crashes

    a= Constant

    b, c, d= Slope cooeficient

    x1,x2,x3= Independent variable

    According to the above formula, we have;

    Air crashes = Constant + a (Pilot Error) + b (Technical Faults) + c (Weather

    Conditions) + d (Organizational Factors) +e (Safety and Security Issues)

    Air crashes = 1.685 + 0.118x1+ 0.296x2+ 0.366x3 + ( 0.305) x4 + ( 0.132) x5

    Our research regression shows that the independent variables that we have used in this

    research have 13.5% impact on air crashes (dependent variable) as shown above model

    summary table.

    In this quantitative research, conduction of research is taken as a limitation of this

    research; we have researched limited to the Pakistan relative to our topic anyone who

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    can do conduct his research on The causes of Air crashes outside the Pakistan, is a

    delimitation of this research.

    Conclusion

    Experiments and surveys show that the air crashes that have been occurred in the

    territory of Pakistan are due to pilot errors, weather conditions, technical faults and

    organizational factors and there is no relationship between safety and security issues

    and air crashes that have been happened in Pakistan.We test the hypotheses and

    concluded that safety and security issues dont become cause of air crashes in Pakistan,

    mostly people disagreed with this to be reason for air crashes. We concluded that

    according to our research 50% people are agreed with that air crashes are unavoidable,

    32.1% are disagreed with that statemnet and 17.84% answered neutral. 46.42% peolple

    said that the rate of air crashes is not increasing in Pakistan with the passage of time,

    14.2% dont know about it and 39.2% targeted population are agreed with increasing

    the rate of air crashesin Paskistan.

    93% persons said that the ratio of air crashes in Pakistan can be reduced by identifying

    hazards and controlling incidents, this can be accomplished by adopting SMS (Safety

    Management Strategies) from ICAO document of safety SMS (Safety Management

    Manual). ICAO has demended the Safety Manual from all Contracting states upto 2012.

    SOPs (Standard Operating Procedures) should be followed almost in every operation

    related to aviation. There should be proper management system in the airlines existing

    in Pakistan that is not only necessary for safe conduct of flight but it should be useful for

    the airline.