2019 Volume 13 Pages 238-257
A significant association of individual and neighborhood level characteristics with the variation in travel time is anticipated. In this research, distinct indices are formulated with variables specific to socioeconomic conditions, automobile accessibility, sustainability transport, and proximity to facilities. The detailed case from Mumbai, India is taken for the research, and we hypothesize: (a) high travel time with lower socioeconomic condition as those individuals tend to choose cheaper mode options which are slow; (b) individuals with higher mobility tend to travel longer; (c) availability of better sustainable transportation system induces usage; and (d) proximity to facilities reduces travel time. The findings can help policymakers and urban planners, not only from India but the cities of Global South, to develop effective strategies to promote mixed land use and sustainable transport. The method has proven to be a helpful tool to explore the impact of individual-specific multiple characteristics on travel behavior.
