Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3656766.3656770acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbarConference Proceedingsconference-collections
research-article

Decoding Elevator Accidents: Insights from Trajectory Intersection Theory

Published: 01 June 2024 Publication History

Abstract

Elevator-related accidents, though infrequent, can have severe consequences. To comprehend and mitigate the underlying causes, this research delves deep into the realm of the Trajectory Intersection Theory. By systematically analyzing national safety bulletins concerning special equipment over the past decade, we discerned patterns and trends in elevator mishaps. Further investigation into 20 emblematic elevator accident reports shed light on the predominant causative factors. The Trajectory Intersection Theory provided a robust framework, enabling the formulation of a comprehensive model that addresses both human and materialistic determinants. This model, spanning the entire lifecycle of an elevator, offers invaluable insights into the phases of transitional operation, break-in, stability, and decline. Drawing from these analyses, we chart a strategic pathway for proactive elevator risk management, centering on accident prevention.

References

[1]
National Market Supervision Administration. Announcement on the Safety Status of Special Equipment in China for 2022 [EB/OL]. 2023. https://www.samr.gov.cn/samrgkml/nsjg/tzsbj/202303/t20230316_353874.html.Sam Anzaroot and Andrew McCallum. 2013. UMass Citation Field Extraction Dataset. Retrieved May 27, 2019 from http://www.iesl.cs.umass.edu/data/data-umasscitationfield
[2]
Chen G., Li G., Wang X., Research on Fuzzy Comprehensive Evaluation of Elevator System Risk Based on Failure Rate Correction [J]. China Safety Science Journal, 2014, 24(02):59-64.
[3]
Stephens, B. R., Tutaj, M. J., Cox, E. R., & Kivler, M. A Case Study of a 5-Year-Old's Elevator Mishap: Conspicuity, Cognitive Capability, and Parental Supervision[J]. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2019, 63(1): 563-567.Jon M. Kleinberg. 1999. Authoritative sources in a hyperlinked environment. J. ACM 46, 5 (September 1999), 604–632. https://doi.org/10.1145/324133.324140
[4]
Patrick L. P. R., Chao P. L., Zhi G., Personality factors and safety attitudes predict safety behaviour and accidents in elevator workers [J]. International Journal of Occupational Safety and Ergonomics, 2020, 26(4):719-727.
[5]
Zarikas V., Loupis M., Papanikolaou N., Statistical survey of elevator accidents in Greece [J]. Safety Science, 2013, 59:93-103.
[6]
Chen Z., Wang Z., Zhang G., Research on Elevator Fault Diagnosis and Prediction Based on Big Data [J]. Mechanical and Electrical Engineering, 2019, 36(01):90-94.
[7]
Mishra M. K., Huhtala K. Elevator Fault Detection Using Profile Extraction and Deep Autoencoder Feature Extraction for Acceleration and Magnetic Signals[J]. Applied Sciences, 2019, 9(15): 2990.Prokop, Emily. 2018. The Story Behind. Mango Publishing Group. Florida, USA.
[8]
Hou J., Qiu R. Xue J., Elevator Fault Prediction Based on Knowledge Graph Embedding and Completion [J]. Computer Engineering and Design, 2022, 43(01):224-230.
[9]
Li Z., Chai Z., Zhao C. Elevator Abnormal Vibration Fault Diagnosis Based on Multi-Channel Convolution [J]. Control Engineering, 2023, 30(03):427-433.
[10]
Fan Y., Lu M., Li Z., Pei J. Review of Accident Causation Theory Based on Hazard Attributes [J]. China Safety Science Journal, 2014, 24(11):139-145.
[11]
Li M., Yao Z. Division of Elevator Lifecycle Stages and Management Improvement [J]. China Elevator, 2021, 32(12):13-15.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
November 2023
1156 pages
ISBN:9798400716478
DOI:10.1145/3656766
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2024

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICBAR 2023

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 11
    Total Downloads
  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)2
Reflects downloads up to 09 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media