دانلود مقاله توسعه و به کارگیری نوعی ابزار شناسایی خطای انسانی
ترجمه نشده

دانلود مقاله توسعه و به کارگیری نوعی ابزار شناسایی خطای انسانی

عنوان فارسی مقاله: توسعه و به کارگیری نوعی ابزار شناسایی خطای انسانی به منظور کنترل ترافیک هوایی
عنوان انگلیسی مقاله: Development and application of a human error identification tool for air traffic control
مجله/کنفرانس: Applied Ergonomics
رشته های تحصیلی مرتبط: مهندسی هوافضا، علوم و فنون هوایی
گرایش های تحصیلی مرتبط: هوانوردی، مراقبت پرواز
کلمات کلیدی فارسی: خطای انسانی، کنترل ترافیک هوایی، شناسایی خطاهای انسانی، تجزیه و تحلیل حادثه
کلمات کلیدی انگلیسی: Human error, Air traffic control, Human error identification, Incident analysis
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/S0003-6870(02)00010-8
دانشگاه: Det Norske Veritas (DNV), Highbank House, Exchange Street, Stockport, Cheshire SK3 0ET, UK
صفحات مقاله انگلیسی: 18
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2002
ایمپکت فاکتور: 2.670 در سال 2017
شاخص H_index: 76 در سال 2019
شاخص SJR: 1.071 در سال 2019
شناسه ISSN: 0003-6870
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E11896
فهرست مطالب (انگلیسی)

Abstract

1. Why air traffic control needs a human error identification tool

2. The ‘Janus’ perspective

3. Theoretical architecture and practical framework

4. Context

5. Error production

6. Representation and use of TRACEr

7. TRACEr applications

8. The study: reduced separation in unregulated airspace

9. A note on validation issues

10. Conclusion

Acknowledgments

References

بخشی از مقاله (انگلیسی)

Abstract

This paper outlines a human error identification (HEI) technique called TRACEr—technique for the retrospective and predictive analysis of cognitive errors in air traffic control (ATC). The paper firstly considers the need for an HEI tool in ATC, and key requirements for the technique are noted. The technique, which comprises a number of inter-related taxonomies, based around a simple cognitive framework, is then described. A study concerning a real-world application of TRACEr is outlined—the evaluation of several options for reduced separation minima in unregulated UK airspace. In this study, TRACEr was used predictively and retrospectively, looking forward to pre-empt potential problems and looking back to learn from experience. The paper concludes that TRACEr is a valuable aid to design, development and operations in UK ATC, and has indeed been used as a basis for further applications in ATC both in Europe and the USA.

Why air traffic control needs a human error identification tool

Air transport is seeing increasing growth year by year, with passenger air transport, in particular, becoming more affordable and feasible for both short journeys and long haul flights. This has resulted in a growth in air traffic movements by 6–7% per year in the UK, which is ultimately reflected in an increase in workload for air traffic controllers. Thankfully, there have been few midair collisions in controlled airspace in the world’s aviation history. Indeed, Richard Profit, Group Director Safety Regulation, UK Civil Aviation Authority, has stated that the fatal accident record for UK public transport operations generally is four times better than the world average, with a flight safety record among the best in the world (Profit, 2001).