冯晓联, 李利, 白彩军, 江黎丽. 基于解释结构模型-组合赋权对出租汽车驾驶员的职业健康风险分析J. 职业卫生与应急救援, 2025, 43(6): 704-711. DOI: 10.16369/j.oher.issn.1007-1326.2025.250081
引用本文: 冯晓联, 李利, 白彩军, 江黎丽. 基于解释结构模型-组合赋权对出租汽车驾驶员的职业健康风险分析J. 职业卫生与应急救援, 2025, 43(6): 704-711. DOI: 10.16369/j.oher.issn.1007-1326.2025.250081
FENG Xiaolian, LI Li, BAI Caijun, JIANG Lili. Analysis of occupational health risks for taxi drivers based on ISM-combined weightingJ. Occupational Health and Emergency Rescue, 2025, 43(6): 704-711. DOI: 10.16369/j.oher.issn.1007-1326.2025.250081
Citation: FENG Xiaolian, LI Li, BAI Caijun, JIANG Lili. Analysis of occupational health risks for taxi drivers based on ISM-combined weightingJ. Occupational Health and Emergency Rescue, 2025, 43(6): 704-711. DOI: 10.16369/j.oher.issn.1007-1326.2025.250081

基于解释结构模型-组合赋权对出租汽车驾驶员的职业健康风险分析

Analysis of occupational health risks for taxi drivers based on ISM-combined weighting

  • 摘要:
    目的 探讨出租汽车驾驶员职业健康的影响因素,针对关键影响因素提出科学有效的干预措施。
    方法 通过问卷调查和相关文献查阅,初步识别驾驶员的职业健康风险;使用德尔菲法咨询有关专家,构建出租汽车驾驶员职业健康风险评价指标体系。通过解释结构模型(ISM)对各因素进行分级,再通过层次分析(AHP)法确定各指标的主观权重,采用基于准则间相关性的客观赋权(CRITIC)法确定客观权重,并根据乘数合成归一法计算各指标的综合权重,分析出关键影响因素。
    结果 构建的出租汽车驾驶员职业健康风险评价指标体系包含5个一级指标(组合权重):人的因素(43.07%)、物的因素(32.82%)、环境因素(15.21%)、工作因素(3.35%)、组织管理因素(5.53%),下属包括学历(0.81%)、车况(20.15%)、路况(2.83%)、工作时长(0.32%)、安全检查(0.93%)等30个二级指标。影响出租汽车驾驶员职业健康的因素划分为3个层级:驾龄(10.58%)、责任感(5.57%)、接触化学因素水平(3.78%)、社交能力(3.75%)、接触物理因素水平(3.69%)是关键直接影响因素;体育锻炼频率(12.78%)与个人体质(3.17%)为关键间接影响因素;车况(20.15%)为关键根本影响因素。
    结论 驾驶员职业健康由操作行为、生理暴露及心理适应等多个维度共同构成。建议从事前预防(车况改善)、事中调控(责任感强化、化学与物理因素管控、社交能力提升)到事后修复(体质与锻炼增强)三个维度系统介入,形成“车辆-环境-个人”联动的综合改善路径,以改善驾驶员的职业健康状况。

     

    Abstract:
    Objective To investigate the influencing factors on the occupational health of taxi drivers and to propose scientifically effective intervention measures targeting key determinants.
    Methods Occupational health risks of taxi drivers were initially identified through questionnaire surveys and literature review. The Delphi method was employed to consult experts and establish an occupational health risk evaluation index system for taxi drivers. The Interpretive Structural Modeling (ISM) was applied to stratify the influencing factors. The subjective weights of indicators were determined using the Analytic Hierarchy Process (AHP), while the objective weights were calculated using the Criteria Importance Through Intercriteria Correlation (CRITIC) method based on inter-criterion correlations. Comprehensive weights of each indicator were then obtained through multiplicative synthesis normalization. Finally, the critical influencing factors were identified through this analysis.
    Results The constructed occupational health risk evaluation system for taxi drivers comprised five primary indicators with combined weights: human factors (43.07%), material factors(32.82%), environmental factors(15.21%), work-related factors (3.35%), and organizational management factors(5.53%). These were further divided into 30 secondary indicators, including education level (0.81%), vehicle condition (20.15%), road condition (2.83%), working hours (0.32%), and safety inspection (0.93%). The influencing factors on the occupational health of taxi drivers were categorized into three hierarchical levels: direct key factors included driving experience(10.58%), sense of responsibility(5.57%), exposure to chemical agents(3.78%), social competence(3.75%), and exposure to physical agents(3.69%); indirect key factors included frequency of physical exercise(12.78%) and individual constitution(3.17%); and the fundamental key factor was vehicle condition(20.15%).
    Conclusions The occupational health of taxi drivers was determined by multiple dimensions, including operational behavior, physiological exposure, and psychological adaptation. A systematic intervention strategy is recommended, encompassing preventive measures (vehicle condition improvement), regulatory measures during work (enhancing responsibility, controlling chemical and physical exposures, and strengthening social competence), and restorative measures (improving physical fitness and exercise). This integrated "vehicle-environment-individual" pathway provides a comprehensive approach to improving the occupational health of taxi drivers.

     

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