Evidence map›Paper›PMID 42672016›Full record

ArticlePloS one2026

Women's workplace transitions in saudi arabia following the driving reform: An ordered logit analysis.

Ghada Alturif, Wafaa Saleh

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ghada AlturifDepartment of Social Work, College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Wafaa SalehTransport Research Institute, School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-6552-2318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe removal of the driving ban for women in Saudi Arabia in 2018 represented a landmark socio-economic reform under Vision 2030, with important implications for women's mobility and career trajectories. However, limited empirical evidence exists on the relationship between this reform and women's employment-related mobility, particularly workplace transitions, using applied modelling approaches and multi-level analytical frameworks.

aimThis study applies an ordered logit modelling approach to examine the association between women's driving rights and employment-related mobility, specifically assessing the likelihood of workplace transitions among Saudi women. The analysis is structured using the Social Ecological Model (SEM) to capture the multi-level factors shaping women's mobility and workplace transitions. METHODOLOGY: This quantitative survey study utilised primary data collected from 890 Saudi women across diverse regions, socioeconomic groups, and employment categories. Official secondary data from national statistical and policy sources were used to contextualise and interpret the findings at the institutional and policy levels rather than being directly incorporated into the econometric model. Descriptive statistics, including means, standard deviations, and cross-tabulations, were used to characterise patterns of workplace mobility. An ordered logit model was then employed to estimate the likelihood of workplace transitions. The final model identified licence ownership, age, income, and marital status as significant predictors.

resultsPossessing a driver's licence was positively associated with workplace transitions and more than doubled the odds of employment-related mobility (β = 0.80, OR = 2.23, 95% CI: 1.66-2.99, p < 0.001). Younger age and higher income were associated with a greater likelihood of workplace transitions, whereas married women reported lower levels of employment-related mobility. At the policy level, women widely perceived Vision 2030 reforms as facilitating greater autonomy, empowerment, and workplace mobility.

conclusionsThe findings suggest that driving access is positively associated with greater workplace mobility and labour market flexibility among Saudi women. However, these associations vary across age groups, marital status, and income levels. By focusing on workplace transitions rather than labour market entry, this study provides an applied modelling framework for examining how mobility reforms relate to employment-related mobility and career opportunities, offering transferable insights for other socio-economic contexts undergoing gender and mobility transformations.

Indexed as

Automobile DrivingEmploymentWorkplaceAdultFemaleHumansLogistic ModelsMiddle AgedSaudi ArabiaSocioeconomic FactorsWomen's Rights

Identifiers

PMID42672016
PMCPMC13529003

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.