Accident precursors and near misses on construction sites: An investigative tool to derive information from accident databases

Wu, Weiwei; Gibb, Alistair G.F.; Li, Qiming

doi:10.1016/j.ssci.2010.04.009

Cited by 87 publications

(49 citation statements)

References 43 publications

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“…In total, 4640 cases are analyzed using the proposed methods of Wu et al (2010a). The results show that the number of accidents that are related to identity information account for 77.8%.…”

Section: Results Of Case Studymentioning

confidence: 99%

“…Though focusing on precursors and near miss-accidents on construction sites has been recognized as one of the important ways to improve safety on construction sites, its potentials have not been fully realized (Wu et al, 2010a). Recent research outcomes have shown that the information of identity about on-site staff, machine and material is highly related to accident precursors and near-miss accidents on construction sites (Wu et al, 2010b).…”

Section: Introductionmentioning

confidence: 99%

“…Darbra and Casal (2004) indicates that useful information can be provided by the historical analysis of the accidents about the most frequent accidents, their origins and causes. At the same time, this analysis can also provide rich information about the precursors of accidents (Wu et al, 2010a;Phimister and Bier, 2004). In order to conduct an integrated analysis of automatic identification requirement about the identity information regarding on-site staff, machine and …”

Section: Introductionmentioning

confidence: 99%

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Design and implementation of an identification system in construction site safety for proactive accident prevention

Yang

Chew

et al. 2012

Accident Analysis & Prevention

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Citation: YANG, H. ... et al, 2012. Design and implementation of an identification system in construction site safety for proactive accident prevention. Accident Analysis and Prevention, 48, Additional Information:• This is the author's version of a work that was accepted for publication in the journal Accident Analysis & Prevention. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Abstract: Identifying accident precursors using real-time identity information has great potential to improve safety performance in construction industry, which is still suffering from day to day records of accident fatality and injury. Based on the requirements analysis for identifying precursor and the discussion of enabling technology solutions for acquiring and sharing real-time automatic identification information on construction site, this paper proposes an identification system design for proactive accident prevention to improve construction site safety. Firstly, a case study is conducted to analyze the automatic identification requirements for identifying accident precursors in construction site. Results show that it mainly consists of three aspects, namely access control, training and inspection information and operation authority. The system is then designed to fulfill these requirements based on ZigBee enabled Wireless Sensor Network (WSN), RadioFrequency Identification (RFID) technology and an integrated ZigBee RFID sensor network structure. At the same time, an information database is also designed and implemented, which includes 15 tables, 54 queries and several reports and forms. In the end, a demonstration system based on the proposed system design is developed as a proof of concept prototype. The contributions of this study include the requirement analysis and technical design of a real-time identity information tracking solution for proactive accident prevention on construction sites. The technical solution proposed in this paper has a significant importance in improving safety performance on construction sites. Moreover, this study can serve as a reference design for future system integrations where more functions, such as environment monitoring and location tracking, can be added.

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“…In total, 4640 cases are analyzed using the proposed methods of Wu et al (2010a). The results show that the number of accidents that are related to identity information account for 77.8%.…”

Section: Results Of Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and implementation of an identification system in construction site safety for proactive accident prevention

Yang

Chew

et al. 2012

Accident Analysis & Prevention

Self Cite

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“…Although safety performance in the construction industry has improved in recent years, the accident and fatality rates in this industry are still among the highest across all sectors [1]. Indeed, the United States Bureau of Labor Statistics (BLS) reported that the construction sector had the largest number of fatal workplace injuries (805 out of 4,628 total fatalities) in 2012 [2].…”

Section: Introductionmentioning

confidence: 99%

A virtual blind spot identification system (VIBSIM) for construction projects

Kıvrak

Kia

2017

Scientia Iranica

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Abstract. The construction industry is recognized as one of the most hazardous industries. Visibility-related accidents are the cause of a signi cant portion of the total fatalities within the construction industry. Limited visibility due to construction equipment blind spots and a lack of visibility in construction areas such as slab openings are among the main causes of these fatalities. This study introduces the Virtual Blind Spot Identi cation System (VIBSIM), which was designed to identify and examine blind spots in construction equipment and construction sites. The VIBSIM consists of a three-dimensional point cloud model that uses 3ds Max software in conjunction with a V-Ray rendering motor. A real case is used to validate the applicability of the proposed system. The results indicate that the system can signi cantly improve safety applications for construction projects. Moreover, the system can aid construction managers in making decisions regarding better management of such safety applications for construction projects.

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“…Moreover, many organizations had attempted to develop programs to identify and benefit from accident precursors, which were defined as the conditions, events and sequences that preceded and led up to accidents [2]. However, the potentials of focusing on precursors on construction have not been fully realized [3] [4]. In the meantime, it has been shown that the information of location about workers, equipment and material is highly related to accident precursors on construction sites [5] [6].…”

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confidence: 99%

UWB-assisted real-time localization in wireless sensor networks

Yang

2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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Abstract-A safety monitoring and accident warning system for underground construction site has been designed in our previous work based on wireless sensor network. Real-time localization of mobile targets is crucial for tracking the related incidents. However, the current RSSI-based localization approach struggles to achieve the required performance. This is due to the limited ranging accuracy of RSSI devices. In this paper, we investigate various ways of improving the localization accuracy and propose our solution of a hybrid UWB-assisted approach. We argue that a hybrid UWB-assisted RSSI ranging has the best overall performance for our application. We show with both mathematical analysis and demonstration system that, instead of implementing a full UWB network, our approach can improve the accuracy to our desired level with only a small number of additional UWB anchor nodes.

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Accident precursors and near misses on construction sites: An investigative tool to derive information from accident databases

Cited by 87 publications

References 43 publications

Design and implementation of an identification system in construction site safety for proactive accident prevention

Design and implementation of an identification system in construction site safety for proactive accident prevention

A virtual blind spot identification system (VIBSIM) for construction projects

UWB-assisted real-time localization in wireless sensor networks

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