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Exploring the factors affecting women's intention to drive in Saudi Arabia

Al-Garawi, N; Kamargianni, M; (2022) Exploring the factors affecting women's intention to drive in Saudi Arabia. Travel Behaviour and Society , 26 pp. 121-133. 10.1016/j.tbs.2021.09.008.

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Abstract

Women's choice to drive is a topic that has not attracted much interest in the academic literature, due to the fact that this is every citizens’ right around the world. Saudi Arabia was the only country left, where women were not allowed to drive. In September 2017, a royal decree was issued, which reinstated the right for women to drive (activated in June 2018). This research aims to identify the key characteristics of women that affect their choice to drive, in order to seek policy inspirations for encouraging more women to drive. To our knowledge, this is the first research, exploring such a sensitive topic. An advanced behavioural econometric model, integrated choice and latent variable (ICLV) model, is developed to take into account both directly observable and unobservable characteristics of women to yield broader insights. Specifically, two latent variables, “Current mobility satisfaction” and “Driving importance for women”, are studied, and the policy opportunities attached on them are explored. The data come from the national project SHE Drives KSA, and the sample used for analysis consists of 10,508 women from all over the Kingdom. The model estimation results show that younger and single women, those who have studied abroad and are employed, and those who live in provinces that are more affluent and have more economic opportunities are more willing to drive.

Type: Article
Title: Exploring the factors affecting women's intention to drive in Saudi Arabia
DOI: 10.1016/j.tbs.2021.09.008
Publisher version: https://doi.org/10.1016/j.tbs.2021.09.008
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Women, Driving intention, ICLV model, Latent variables, Saudi Arabia
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10137605
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