Torrao, Guilhermina and Wong, Shun Ha Sylvia (2025). Women Perceptions in Transient Environments and the Need for AI to Drive Safer Travel: An Inclusive Mobility Study in India. IN: Transport Transitions: Advancing Sustainable and Inclusive Mobility. McNally, Ciaran; Carroll, Paraic; Martinez-Pastor, Beatriz; Ghosh, Bidisha; Efthymiou, Marina and Valantasis-Kanellos, Nikolaos (eds) Lecture Notes in Mobility . Springer, Cham.
Abstract
Women of all ages face higher risks than men when travelling and during public transport waiting times. This risk is higher for women living in India than their counterparts residing in the Western world. The primary objective of this study was to understand women’s perception of safety while travelling in India and how it affects their travel behaviour. A mobility survey was designed to cover various aspects of travel, such as travel experience, built environment characteristics, and their impact on women’s safety perception. The subjective data was examined to explore the link between safety perception, built environment, and changes in travel behaviour. Respondents consider that security and safety are the top two factors influencing women’s travel mode in their everyday journeys in India. The present study also found that over 80% of women are likely to change their travel behaviour after experiencing fear, anxiety, or danger during their everyday journeys. These findings have important implications for policy and best practice regarding safer and more gender-inclusive transport provision.
| Publication DOI: | https://doi.org/10.1007/978-3-031-88974-5_76 |
|---|---|
| Divisions: | College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management College of Engineering & Physical Sciences College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Software Engineering & Cybersecurity Aston University (General) |
| Funding Information: | This work was part of the project titled “Industry-inspired Transnational Education in Artificial Intelligence / Machine Learning” (Project ID 877629610) under the British Council funded Going Global Partnerships Programme. This British Council project is |
| Additional Information: | Copyright © The Author(s) 2026. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
| Uncontrolled Keywords: | safety,travel behaviour,Women,Control and Systems Engineering,Automotive Engineering,Transportation,Energy (miscellaneous) |
| ISBN: | 9783031889738, 9783031889745 |
| Last Modified: | 01 Dec 2025 08:02 |
| Date Deposited: | 27 Nov 2025 11:22 |
| Full Text Link: | |
| Related URLs: |
https://link.sp ... -031-88974-5_76
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Chapter |
| Published Date: | 2025-09-03 |
| Published Online Date: | 2025-09-02 |
| Accepted Date: | 2025-09-01 |
| Authors: |
Torrao, Guilhermina
(
0000-0001-5614-2209)
Wong, Shun Ha Sylvia (
0000-0002-0290-7242)
|
0000-0001-5614-2209