Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport

It is well established that the transport sector not an equalitarian sector. To develop a sustainable society, more and safe system for both users employees needed. This work prioritizes needs barriers previously identified as relevant among four different scenarios (railways, autonomous vehicles (AVs), bicycle-sharing services (BSSs), employment). The aim of this paper to prioritize factors affecting women in these with help survey followed by application mathematical computational algorithms based on analytic hierarchy process (AHP) methodology. identification higher influence fair participation will planners, bike-sharing owners, decision-makers, companies, regulatory professionals measures could plausibly increase proportion BSSs, rail public transport, AVs, society. results indicated safety security were most challenging railways. Weather, topography, family responsibilities shown have high use BSSs. In case vehicles, simultaneity trust technology are main opportunities acceptance such vehicles. Finally, employment, caring parenting had largest effect. Some differences priorities found profiles women.