Rethinking Ridership Decline in Emerging Urban Waters: A Bayesian Nested Logit Model of Psychological Barriers
摘要
Sustainable transport is essential to combat climate change driven by the growing use of personal vehicles. Emerging nations, which host over 85% of the global population, can benefit from water transport due to existing infrastructure and cultural heritage, often requiring minimal investment. India, with more than 14,500 km of interconnected waterways, fits this profile. Even then, urban water transport in India has the lowest mode share. This study investigates the reasons behind its limited use. Unlike most research that focuses only on the features of transport alternatives, this study includes psychological barriers using a nested logit model with Bayesian logic. The findings show that viewing water transport as a low-status option reduced user loyalty by 31%. The anxiety stigma related to waterways resulted in a disutility of 25%. These approach sheds light to under-explored psychological influences and provides insights for researchers and policymakers working to improve sustainable urban water transport.