 Analyzing significant variables for choosing different modes by female travelersSharmin Nasrin and Jonathan Bunker Transport Policy, 2021, vol. 114, issue C, 312-329 Abstract: Bangladesh is one of the world's strongest emerging economies. This nation is working on improving women's empowerment, with more women entering meaningful employment, and socio-cultural constraints on women's mobility gradually decreasing over time. However, for women in Bangladesh, travel constraints are currently more significant than cultural constraints. Therefore, to sustain the nation's economic growth, challenges to women's mobility must be resolved by developing a gender-inclusive transport system. To achieve this, proper transport planning is necessary. The aim of this research is to understand the significant variables contributing to Bangladeshi women travellers' mode choices. The main contribution of this article is to present an analysis of women's travel issues according to a range of income classes. The methodological approach adopted for this research is the mixed method approach of quantitative (Artificial Neural Network Model (ANN)) and qualitative (workshop discussions) analysis. Keywords: Women; Developing countries; Gender; Public transport; Mobility; Artificial neural network model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:114:y:2021:i:c:p:312-329 Ordering information: This journal article can be ordered from DOI: 10.1016/j.tranpol.2021.10.017 Access Statistics for this article Transport Policy is currently edited by Y. Hayashi More articles in Transport Policy from Elsevier |
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