Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers
Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that conside...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lee, Changsu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© Korean Society of Civil Engineers 2023 |
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| Übergeordnetes Werk: |
Enthalten in: KSCE journal of civil engineering - Seoul : Korean Soc. of Civil Engineers, 1997, 27(2023), 10 vom: 31. Juli, Seite 4085-4100 |
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| Übergeordnetes Werk: |
volume:27 ; year:2023 ; number:10 ; day:31 ; month:07 ; pages:4085-4100 |
| Links: |
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| DOI / URN: |
10.1007/s12205-023-1978-8 |
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| Katalog-ID: |
SPR053111796 |
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| 520 | |a Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. | ||
| 650 | 4 | |a Construction worker safety |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Utility function |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Evaluation model |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Kim, Minju |0 (orcid)0000-0002-9507-1965 |4 aut | |
| 700 | 1 | |a Ahn, Heejae |0 (orcid)0000-0001-9501-8390 |4 aut | |
| 700 | 1 | |a Yoo, Wi Sung |0 (orcid)0000-0001-9284-3918 |4 aut | |
| 700 | 1 | |a Cho, Hunhee |0 (orcid)0000-0002-2010-6641 |4 aut | |
| 700 | 1 | |a Choi, Youngho |4 aut | |
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10.1007/s12205-023-1978-8 doi (DE-627)SPR053111796 (SPR)s12205-023-1978-8-e DE-627 ger DE-627 rakwb eng Lee, Changsu verfasserin (orcid)0000-0003-4653-1694 aut Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society of Civil Engineers 2023 Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. Construction worker safety (dpeaa)DE-He213 Safety index (dpeaa)DE-He213 Analytic network process (dpeaa)DE-He213 Utility function (dpeaa)DE-He213 Evaluation model (dpeaa)DE-He213 Kim, Minju (orcid)0000-0002-9507-1965 aut Ahn, Heejae (orcid)0000-0001-9501-8390 aut Yoo, Wi Sung (orcid)0000-0001-9284-3918 aut Cho, Hunhee (orcid)0000-0002-2010-6641 aut Choi, Youngho aut Enthalten in KSCE journal of civil engineering Seoul : Korean Soc. of Civil Engineers, 1997 27(2023), 10 vom: 31. Juli, Seite 4085-4100 (DE-627)57517238X (DE-600)2446036-9 1976-3808 nnns volume:27 year:2023 number:10 day:31 month:07 pages:4085-4100 https://dx.doi.org/10.1007/s12205-023-1978-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 10 31 07 4085-4100 |
| spelling |
10.1007/s12205-023-1978-8 doi (DE-627)SPR053111796 (SPR)s12205-023-1978-8-e DE-627 ger DE-627 rakwb eng Lee, Changsu verfasserin (orcid)0000-0003-4653-1694 aut Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society of Civil Engineers 2023 Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. Construction worker safety (dpeaa)DE-He213 Safety index (dpeaa)DE-He213 Analytic network process (dpeaa)DE-He213 Utility function (dpeaa)DE-He213 Evaluation model (dpeaa)DE-He213 Kim, Minju (orcid)0000-0002-9507-1965 aut Ahn, Heejae (orcid)0000-0001-9501-8390 aut Yoo, Wi Sung (orcid)0000-0001-9284-3918 aut Cho, Hunhee (orcid)0000-0002-2010-6641 aut Choi, Youngho aut Enthalten in KSCE journal of civil engineering Seoul : Korean Soc. of Civil Engineers, 1997 27(2023), 10 vom: 31. Juli, Seite 4085-4100 (DE-627)57517238X (DE-600)2446036-9 1976-3808 nnns volume:27 year:2023 number:10 day:31 month:07 pages:4085-4100 https://dx.doi.org/10.1007/s12205-023-1978-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 10 31 07 4085-4100 |
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10.1007/s12205-023-1978-8 doi (DE-627)SPR053111796 (SPR)s12205-023-1978-8-e DE-627 ger DE-627 rakwb eng Lee, Changsu verfasserin (orcid)0000-0003-4653-1694 aut Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society of Civil Engineers 2023 Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. Construction worker safety (dpeaa)DE-He213 Safety index (dpeaa)DE-He213 Analytic network process (dpeaa)DE-He213 Utility function (dpeaa)DE-He213 Evaluation model (dpeaa)DE-He213 Kim, Minju (orcid)0000-0002-9507-1965 aut Ahn, Heejae (orcid)0000-0001-9501-8390 aut Yoo, Wi Sung (orcid)0000-0001-9284-3918 aut Cho, Hunhee (orcid)0000-0002-2010-6641 aut Choi, Youngho aut Enthalten in KSCE journal of civil engineering Seoul : Korean Soc. of Civil Engineers, 1997 27(2023), 10 vom: 31. Juli, Seite 4085-4100 (DE-627)57517238X (DE-600)2446036-9 1976-3808 nnns volume:27 year:2023 number:10 day:31 month:07 pages:4085-4100 https://dx.doi.org/10.1007/s12205-023-1978-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 10 31 07 4085-4100 |
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10.1007/s12205-023-1978-8 doi (DE-627)SPR053111796 (SPR)s12205-023-1978-8-e DE-627 ger DE-627 rakwb eng Lee, Changsu verfasserin (orcid)0000-0003-4653-1694 aut Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society of Civil Engineers 2023 Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. Construction worker safety (dpeaa)DE-He213 Safety index (dpeaa)DE-He213 Analytic network process (dpeaa)DE-He213 Utility function (dpeaa)DE-He213 Evaluation model (dpeaa)DE-He213 Kim, Minju (orcid)0000-0002-9507-1965 aut Ahn, Heejae (orcid)0000-0001-9501-8390 aut Yoo, Wi Sung (orcid)0000-0001-9284-3918 aut Cho, Hunhee (orcid)0000-0002-2010-6641 aut Choi, Youngho aut Enthalten in KSCE journal of civil engineering Seoul : Korean Soc. of Civil Engineers, 1997 27(2023), 10 vom: 31. Juli, Seite 4085-4100 (DE-627)57517238X (DE-600)2446036-9 1976-3808 nnns volume:27 year:2023 number:10 day:31 month:07 pages:4085-4100 https://dx.doi.org/10.1007/s12205-023-1978-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 10 31 07 4085-4100 |
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10.1007/s12205-023-1978-8 doi (DE-627)SPR053111796 (SPR)s12205-023-1978-8-e DE-627 ger DE-627 rakwb eng Lee, Changsu verfasserin (orcid)0000-0003-4653-1694 aut Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society of Civil Engineers 2023 Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. Construction worker safety (dpeaa)DE-He213 Safety index (dpeaa)DE-He213 Analytic network process (dpeaa)DE-He213 Utility function (dpeaa)DE-He213 Evaluation model (dpeaa)DE-He213 Kim, Minju (orcid)0000-0002-9507-1965 aut Ahn, Heejae (orcid)0000-0001-9501-8390 aut Yoo, Wi Sung (orcid)0000-0001-9284-3918 aut Cho, Hunhee (orcid)0000-0002-2010-6641 aut Choi, Youngho aut Enthalten in KSCE journal of civil engineering Seoul : Korean Soc. of Civil Engineers, 1997 27(2023), 10 vom: 31. Juli, Seite 4085-4100 (DE-627)57517238X (DE-600)2446036-9 1976-3808 nnns volume:27 year:2023 number:10 day:31 month:07 pages:4085-4100 https://dx.doi.org/10.1007/s12205-023-1978-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 10 31 07 4085-4100 |
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However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. 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Lee, Changsu |
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developing a field-oriented analytical safety assessment model for construction workers |
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Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers |
| abstract |
Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. © Korean Society of Civil Engineers 2023 |
| abstractGer |
Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. © Korean Society of Civil Engineers 2023 |
| abstract_unstemmed |
Abstract Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety. However, the construction industry still has higher casualty rates than other industries, and a preemptive safety management system that considers the safety risk factors at the construction site is deemed a necessity. Therefore, this study proposed a model that can quantitatively evaluate the safety of construction workers. A total of 18 safety risk factors consisting of three groups was derived from disaster-case data through a literature review, and was consulted to experts based on a survey to verify the suitability. Based on the results from the survey, 13 safety risk factors were selected, and the weights for each factor were derived. Moreover, an Analytic Network Process was used to derive the weights. Afterwards, a safety risk scale for each factor was derived based on the utility function from the accident case data provided by Korea Occupational Safety and Health Agency and opinions provided by expert. Finally, a safety assessment index for construction workers was proposed by combining the derived weights and safety risk scales. Accordingly, this study facilitates identifying construction workers with a high probability of suffering accidents in advance. Therefore, this study can contribute to preventing accidents at the construction site by supporting customized safety management for workers in hazardous environments. © Korean Society of Civil Engineers 2023 |
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Developing a Field-oriented Analytical Safety Assessment Model for Construction Workers |
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https://dx.doi.org/10.1007/s12205-023-1978-8 |
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Kim, Minju Ahn, Heejae Yoo, Wi Sung Cho, Hunhee Choi, Youngho |
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Kim, Minju Ahn, Heejae Yoo, Wi Sung Cho, Hunhee Choi, Youngho |
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| doi_str |
10.1007/s12205-023-1978-8 |
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2024-07-03T17:08:47.968Z |
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| score |
7.4004526 |