Abstract

Influencing factors of runway incursion risk and their interaction mechanism based on DEMATEL-ISM

Highlights

  • Safety incidents caused by runway incursion in airports have been increasingly frequent in recent years

  • According to the International Civil Aviation Organization (ICAO), runway incursion refers to any occurrence at an aerodrome involving the incorrect presence of an aircraft, vehicle, or person on the protected area of a surface designated for the landing and take-off of aircraft

  • The influencing factors of runway incursion and their interaction mechanism were discussed in this study

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Summary

Introduction

Safety incidents caused by runway incursion in airports have been increasingly frequent in recent years. Kim and Yang et al [11] determined the weights of the influencing factors of runway incursion in the Gimpo International Airport in Korea through the analytic hierarchy process (AHP) They assessed the possibility and harmfulness of runway incursion risks through the fault tree analysis and found that human mistakes can influence runway incursion risk significantly. To sum up, existing studies on runway incursion give significant attention to direct causes, such as the operation error and deviation of frontline staffs, including pilots, air traffic controllers, and ground officials, whereas the management and psychological factors of employees are hardly discussed. The influencing factors of runway incursion cover human, aircraft, environment, and management, including subject (pilot, air traffic controllers, and ground vehicle drivers) errors, organization safety management, safety environmental factors, and safety facilities. They were further screened according to a questionnaire survey, and the final influencing factor set was determined

Influencing factor model of runway incursion
Direct impact matrix
Determination of centrality and cause
Reachable matrix
Hierarchical ISM
Employee individuals
Operational management
Operating conditions
Safety culture
Calculate centrality and cause
ISM analysis
Findings
Conclusions

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