Construction fatalities are undesired events for everyone involved in the respective industry. Beyond the personal drama, a high level of construction injuries and fatalities will make this sector look dangerous, with multiple implications. Endangered or scared workers will ask for bigger wages, work safety and health authorities will roll out new procedures and finally, the construction projects will develop slower, affecting the entire national economy. Preventing construction fatalities and injuries should be an objective for everyone involved in this sector. However, like in medicine, a symptom, and an event cannot be prevented without knowing the causes and the probabilities behind them. Falls are the most common causes of construction fatalities. In 2014, falls counted for 39,9% of the construction fatalities (The Census of Fatal Occupational Injuries, 2015). The inspections conducted in the next year by the Occupational and Safety and Health Administration (2015), concluded that most of the construction fatalities happened because constrXXXXXX XXXXXXX, engineers XXX XXXX managers violated the XXXX XXXXXXXXXX XXXXXXXXX (29 CFR 1926.501). Hazard XXXXXXXXXXXXX comes XX the XXXXXX XXXXX and XXXX is an XXXXX XXXX XXXXXXX the entire working sector. Faulty XXXXXXXXX are XXX XXXXX reason for construction fatalities caused XX XXXXX (O.S.X.A, 2015). Ladders come in next XX a more XXXXXXXXXXX tool XXX XXXXXXX above the XXXXXX. The XXXX indicates that in XXX last XXXXX, work safety has improved. Numbers show that in XXXX, 1038 construction XXXXXXX XXXXXXXX a fatal XXXXXXXX while in XXXX, 902 XXXXXXX XXXX XXXXXXXX. XXXXXXX, the best XXXX was XXXX XXXX XXXX XXX fatal injuries (Bureau of Labor Statistics, 2016). A XXXXXX rationale XXXXX XXXX that something XXX done XXXXX in 2010 and XXXXX then, XXXXXXXXX are XXXXX on a XXXXXXX XXXXX. XXXXXX jumping XX such XXXXXXXXXXX, it XX relevant to see the overall XXXXX of XXXXXXXX in XXX construction sector. According XX the U.S XXXXXX of Labor (XXXX), XXXX and 2010 XXXXXXXX the top XXXXXXX activity. XXX year XX XXXX XXX XXX top XXXX XXXX XXXX 900.000 XXXXXX construction workers XXXXX in XXXX-XXXX the XXXXXXX XXXXXXX under XXX.000. Economic XXXXXX are XXXX XXXXXXXXX with XXX XXXX and XXXXXXXXX of the XXXXXXXXXXXX XXXXXXX but XXXXX XX XXXXXXX XXXXXXXXX that works safety specialists should XXXXXXXX: XXXXXXXXXX. XXXXXXX XXXXXXXXXX XXXX XXX main topic XX the paper, it XX XXXX XX XXX that constructions XXXXXXX in a XXXXX connection XXXX XXXXXXXXXX. XXX XXXXXXX, most of XXX XXXXXXXXX constructed in XXX middle ages XXXX small or XXXX a XXXXXXX height from the XXXXX. XXXXXXXX XXXXXXXXX bigger XXXX a XXXXXXXXX, a XXXXXX or a XXXX was a huge project XXXX sometimes XXXXXXXX multiple XXXXXXXXXXX in getting the XXXXXXX done. XXXX XXX development of XXX construction materials and construction techniques, XXXX sector XXXXXX a XXXX XXXXXXX one, XXXXXX connected to XXXXXXXXXXX. XX our days, the first XXXXXXXXX for implementing an innovation XX XXXXXX. Those XXXXX it XXXXXX not risk XXXXX XXXXXXXX safety. XXXX XXXX, there are innovations developed especially XXX improving XXXX safety in constructions or XXXXX labor-XXXXXXXXX areas. Using XXX proximity sensors are such an XXXXXXX. First implemented in XXX XXXXXX sector, proximity sensors XXXXXXX XX reduce the XXXXXX XX XXXXXX XXXXXXXXXX where they were implemented XXXXXXXX XXXX XXXXX XXXX safety XXXXXXXX (Bissert, & DuCarme, 2016). XXXXXXXXX XXXXXXX XXX XXX used XXXX XXX alerting XXX XXXXXX XXXXX a dangerous XXXX but they also XXXX together XXXX XXX XXXXXXXX XX XXXXXXXXX a safe XXXXXXXXXXX. For instance, if a worker would enter a zone XXXX a high danger to fall, XXX proximity XXXXXXX will alert XXX software connected to XXX pieces of XXXXXXXXX XX XXXXXXXXX the working parameters so they XXXX not XXXXXXXXXX or XXXXXXX XXXX XXXXXXXX or fatalities. XXXXXXXXX XXXXXXX XXX XX XXXX XXXXXXXXX with XXXXXXXXX and lift equipment, XXXXXXXXXX a worker on going higher than he/she XXXXXX. Each XXXXXX XXXXXXX XXXX XXXX an action plan if a XXXX XXXXXX could XXX be avoided. X XXXXX XXX methodic XXXXXXXXXXXX XXXXX XXXXXXX it from turning XXXX a fatality. XXXX if XXX fall protection XXXXXXXXX XXXXXX XXX XXXXXXXXX the employee from XXXXXXX to XXX ground, safety responsible must note that XXXXXXXXXX trauma is XXXX a dangerous enemy. A XXXXXXXXXX trauma XXXXX that XXX XXXXX XX XXXXXXXXXX XXXX XXXXXXX XXXX through the body XXXXXXX of XXX XXXXXXX equipment. Unfortunately, there XX XX way of predicting XXX XXXXXXX XX a XXXXXXXXXX trauma XXXXXXX the XXXXXXX behind it are diverse and they XX XXXX XXXXXXXXXXX to pre-existing XXXXX conditions (Cherri, Argudin, XXXX). XX a XXXX XXXXXXXX, the XXXXXX procedures XXXXXX XXXXXX three basic rules (Cherri, Argudin, XXXX). XXX first XXX is to keep XXXXXXXXXX XXXXXX. In XXXX XXXXXXX, those helping XXX XXXXXX should XXXX what they XXXX to XX, without XXXXXX questions or thinking too much XXXXX it. The XXXXXX rule is XX XXXX things XXXX. No XXX XXXXXX be injured while XXXXXXX XXX victim. This XX why XXX third XXXX is XXXX XXXXXXXX and it XXXX XXXX the XXXXXXXXXXXX XXXXXX XXX XXX XXXXX or XXXXXX. Like it was XXXXXXXXX XXXXXXXXXX in this XXXXX, prevention is XXX best. XXX measures for preventing XXXX fatalities can XX from using XXX appropriate protection XXXXXXXXX XX XXXXXXXXXXXX XXXXX XXXX procedures and limitations for XXXXXXXX. In a real XXXXXXXXXXXX XXXX XXXXX things move fast, such parameters XXXXXX XXXX and XXXX XX XXX XXXXXX XXXXXXX XXXX his XXXX XX keeping XXXX under XXXXXXX, XXXXXXXXX XXXXXXXXXXX XXXXXX XXX occur. XXXXX these variables, work conditions, XXX work location, XXX XXXXXXXXXXXXX conditions are XXX top contributors to fatal accidents in constructions (Thakur, Sawhney,XXXXXXXXXXX, 2011). The best corrective XXXXXXXX are XX always adapt XXX procedures XXX XXXXXXXX XX the XXXXXXXX XXXXXXXXXXXX. A safety manager cannot stop XXX rain, move the XXXXXXXXXXXX site or increase XXXXXXXX. The XXXX XXXX XX XXXX with this method, almost XX% XX the XXXXXXXXX XXXXXXXXX are XXXXXXXXX (XXXXXX, Sawhney,Balestrassi, 2011). XXXX means XXXX flexibility is XXX key XXXX XXX such XXXXXXX. XX the same XXXX, flexibility should XXXX XXXXXXXXXX and not interpretable procedures. The XXXXXXXXXX should stay XXXXXX.XX conclusion, construction XXXXXXXXXX XXX XX XXXXXXX XXX the XXXX XXXXXXXXXX measures are the XXXXXX ones. The XXXXXX ones XXX those focusing XX adapting XX the existing XXXXXXXXXXX. While a number XX XXXXXXX XXXXXX each year, XXX economic evolution XXXXXX XXXXXX XX considered. XXXXXX will XXXXX if they XXXX XXX XXXXXXXXX XXX constructors XXXX invest in XXXXXX measures XX XXXX have XXX XXXXXX for it.
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Bissert, P. T., XXXX, X. L., &XXX; DuCarme, X. X. (XXXX). Proximity XXXXXXXXX XXXXX.XXXXXXXXXXXX Safety, XX(6), XX-XX. Retrieved from XXXXX://libraryresources.XXXXXXXXXXXXXXXX.XXX/login?url=http://search.XXXXXXXX.XXX.libraryresources.columbiasouthern.edu/XXXXXXX/XXXXXXXXXX?accountid=XXXXX
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Bureau of XXXXX XXXXXXXXXX, XXXX, Databases, XXXXXX XXX XXXXXXXXXXX by XXXXXXX, Fatal occupational injuries XX XXXXXXXX characteristics, XXXX-2014, XXXXXXXXX from XXXX://www.bls.XXX/iif/XXXXX/cfoi/XXXXXXXXXX.pdf
Cherri, S., &XXX; Argudin, X. (2016). Fall rescue XXXXX &XXX; XXXXXXX object XXXXXXXXXX: XXXX XXXXX safety XXXXXXX XXXXXX know. XXXXXXXXXXXX Safety, 61(5), 38-41. XXXXXXXXX XXXX XXXXX://libraryresources.XXXXXXXXXXXXXXXX.edu/XXXXX?XXX=XXXX://search.XXXXXXXX.XXX.libraryresources.XXXXXXXXXXXXXXXX.XXX/XXXXXXX/1789356514?XXXXXXXXX=33337
Occupational XXXXXX &XXX; Health XXXXXXXXXXXXXX [OSHA]. (2016). XXXXXXXXX from https://www.XXXX.gov/XXXXXXXX/commonstats.XXXX
XXXXXX, X. A., XXXXXXX, X., &XXX; XXXXXXXXXXX, X. X. (XXXX). Assessment XX XXXXXXXXXXXX XXXXXXXXXX to predict XXXXX factors XX neural XXXXXXX analysis.XXX Annual XXXXXXXXXX.Proceedings , X-X. Retrieved XXXX https://XXXXXXXXXXXXXXXX.columbiasouthern.edu/XXXXX?url=XXXX://XXXXXX.XXXXXXXX.com.XXXXXXXXXXXXXXXX.XXXXXXXXXXXXXXXX.edu/docview/1190331558?accountid=XXXXX
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