首页> 外文期刊>Transportation Research >The relationship between transport disadvantage and employability: Predicting long-term unemployment based on job seekers' access to suitable job openings in Flanders, Belgium
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The relationship between transport disadvantage and employability: Predicting long-term unemployment based on job seekers' access to suitable job openings in Flanders, Belgium

机译:运输劣势与雇用之间的关系:根据求职者进入比利时法兰德斯的合适招聘人口的长期失业

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摘要

In no research domain has the application of accessibility been so vital as in the area of linking disadvantaged individuals to job opportunities. The inability to reach locations of employment and, therefore, partake in paid labor is considered to have severe consequences on an individual's economic security and quality of life as well as society's general level of welfare. Unfortunately, existing studies on job accessibility primarily apply aggregate measures that aim to link the population group of active, employed workers to pre-existing job locations. As a result, they fail to capture the person-specific labor-market opportunities for those individuals who are actually unemployed as well as the degree to which accessibility to opportunities is related to actual employment rates. The proposed paper answers this limitation by constructing a predictive model for long-term unemployment for job seekers in Flanders, Belgium, dependent on their access by private and public transport to job openings that correspond to their individual preferences and competences. In addition to accessibility, the predictive capacity was determined for various socio-demographics such as age, gender, migration background, educational background and preferred job type. The proposed regression model shows that job accessibility is negatively related to long-term unemployment. In addition, various inequities in long-term unemployment exist for the selected case study. Especially job seekers with a migration background and with higher age (55 years or older) have significantly higher probabilities of remaining unemployed. A conditional inference regression tree indicates that the most disadvantaged groups have a two to three times higher probability of being long-term unemployed. Moreover, higher accessibility levels prove to only benefit those who already are in a more advantaged position. These findings have important ramifications for policies focusing on improving employment rates, as they allow to specifically address those areas of research where major gains can be made.
机译:在没有研究领域的情况下,可以应用可访问性如此至关重要,如将弱势个人与就业机会联系在一起。无法达到就业地点,因此,在有偿劳动中占据的地方被认为对个人经济安全和生活质量以及社会一般福利水平具有严重后果。不幸的是,现有就业可行性研究主要采用旨在将人口群体与雇用工人联系起来的总体措施的总体措施。因此,他们未能捕捉到实际失业的人的特定人的劳动力市场机会以及机会无障碍与实际就业率有关的程度。拟议论文通过为比利时队长的求职者进行长期失业的预测模型来回答这一限制,从而依赖于私人和公共交通到与个人偏好和能力相对应的招聘人口。除了可访问性之外,针对年龄,性别,迁移背景,教育背景和首选工作类型等各种社会人口统计学确定预测能力。拟议的回归模型表明,工作可访问性与长期失业率负相关。此外,所选案例研究存在长期失业率的各种不公平。特别是与迁移背景和更高年龄(55岁或以上)的求职者具有明显更高的失业率。条件推断回归树表明,最弱势群体具有两到三倍的长期失业率的可能性。此外,较高的可访问性水平证明只是使那些已经处于更优缺点的人。这些调查结果对关注改善就业率的政策具有重要的影响,因为它们允许专门解决可以进行重大收益的研究领域。

著录项

  • 来源
    《Transportation Research》 |2019年第7期|268-279|共12页
  • 作者单位

    Univ Ghent Dept Ind Engn Ctr Mobil & Spatial Planning Valentin Vaerwyckweg 1 B-9000 Ghent Belgium|Univ Ghent Dept Geog Res Grp Cartog & GIS Krijgslaan 281 S8 B-9000 Ghent Belgium;

    Vrije Univ Brussel Dept Geog Cosmopolis Ctr Urban Res Pl Laan 2 Room F4-55 B-1050 Brussels Belgium;

    Univ Ghent Dept Ind Engn Ctr Mobil & Spatial Planning Valentin Vaerwyckweg 1 B-9000 Ghent Belgium|Univ Ghent Dept Geog Res Grp Cartog & GIS Krijgslaan 281 S8 B-9000 Ghent Belgium;

    Univ Ghent Dept Geog Res Grp Cartog & GIS Krijgslaan 281 S8 B-9000 Ghent Belgium;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Unemployment; Job accessibility; Social equity; Transport disadvantage;

    机译:失业;工作可行性;社会公平;运输缺点;

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