Demographic Analysis of Occupational Safety in the Construction Sector: Strategies and Insights for Risk Reduction

被引:3
作者
Bilim, Atiye [1 ]
机构
[1] Konya Tech Univ, Dept Occupat Hlth & Safety Program, TR-42250 Konya, Turkiye
关键词
demographic analyses; incapacity for work; lost workday; construction work accident; ACCIDENT SEVERITY; INJURIES; INDUSTRY; WORKERS; BEHAVIOR; SITES; TURKEY; HEALTH;
D O I
10.3390/buildings15040528
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The construction sector is among the most dangerous industries, recognized for its significant rate of accidents with even more serious consequences, especially in developing countries. In addition to threatening the health and living conditions of workers, occupational accidents also negatively impact work productivity and sustainability. In this context, a country-by-country analysis of occupational accidents in the sector is critical to understand local demographic differences better and determine the impact of workplace safety practices. In parallel with the growing economy, the construction sector in T & uuml;rkiye creates a large employment area and stands out as one of the sectors where occupational accidents occur most frequently. This study aims to analyze the interactions of occupational accidents and incapacity with demographic factors in the construction sector in T & uuml;rkiye. This study analyzes the demographic factors, including age, gender, marital status, education, and work experience, of workers involved in occupational accidents within the construction industry between 2018 and 2022. As a result, it is found that young (18-27 years), male, single, and less experienced (1-10 years) workers are more prone to occupational accidents while increasing age and education level increases the risk of incapacity caused by occupational accidents. As experience increases, the probability of occupational accidents decreases; however, the recovery period is longer for workers who are exposed to heavy working conditions for a long time. The results show that the probability and severity of occupational accidents differ according to demographic characteristics. Therefore, high-risk workers should be identified, and occupational safety policies should be restructured based on this data. This study provides an important guide for policy changes and practical applications for demographically oriented restructuring of occupational safety measures in the construction industry.
引用
收藏
页数:21
相关论文
共 107 条
[1]   Occupational accidents and injuries in construction industry in Jeddah city [J].
Abukhashabah, Emad ;
Summan, Ahmed ;
Balkhyour, Mansour .
SAUDI JOURNAL OF BIOLOGICAL SCIENCES, 2020, 27 (08) :1993-1998
[2]   Work-life balance in the construction industry: a bibliometric and narrative review [J].
Adah, Christiana Ada ;
Aghimien, Douglas Omoregie ;
Oshodi, Olalekan .
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2025, 32 (01) :38-58
[3]   Causes of Accident a Construction Sites in Bangladesh [J].
Ahmed, Shakil .
ORGANIZATION TECHNOLOGY AND MANAGEMENT IN CONSTRUCTION, 2019, 11 (01) :1933-1951
[4]   Identifying Factors that Contribute to Severity of Construction Injuries using Logistic Regression Model [J].
Akboga Kale, Ozge ;
Baradan, Selim .
TEKNIK DERGI, 2020, 31 (02) :9919-9940
[5]   Construction Sector Contribution to Economic Stability: Malaysian GDP Distribution [J].
Alaloul, Wesam Salah ;
Musarat, Muhammad Ali ;
Rabbani, Muhammad Babar Ali ;
Iqbal, Qaiser ;
Maqsoom, Ahsen ;
Farooq, Waqas .
SUSTAINABILITY, 2021, 13 (09)
[6]   Assessment of accident severity in the construction industry using the Bayesian theorem [J].
Alizadeh, Seyed Shamseddin ;
Mortazavi, Seyed Bagher ;
Sepehri, Mohammad Mehdi .
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2015, 21 (04) :551-557
[7]   Pattern extraction for high-risk accidents in the construction industry: a data-mining approach [J].
Amiri, Mehran ;
Ardeshir, Abdollah ;
Zarandi, Mohammad Hossein Fazel ;
Soltanaghaei, Elahe .
INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION, 2016, 23 (03) :264-276
[8]   Identifying Risk Factors from MSHA Accidents and Injury Data Using Logistic Regression [J].
Amoako, Richard ;
Buaba, Judith ;
Brickey, Andrea .
MINING METALLURGY & EXPLORATION, 2021, 38 (01) :509-527
[9]  
[Anonymous], 2024, SSI Sosyal Guvenlik Kurumu
[10]  
[Anonymous], 2006, SSI Law. 1.5.5510. Social Insurance and General Health Insurance Law