Application of a binary logistic model in the development of strategies to encourage sustainable transportation in medium-sized cities: case of study

Abstract

Demographically medium-sized ci es play a significant role in the economy and popula on spreading in growing countries. Their development and fast pace expansion reveal the need for an efficient, sustainable mobility plan. Once the transport mode used by the popula on affects the sustainability of urban trips, it is crucial to understand the influence that socioeconomic and daily trips characteris cs exert on the choice of transporta on modes. In this context, having as study scenery, the reality of Barreiras, a demographically medium-sized city located in Bahia State, this paper aims to iden fy and quan fy the impact of those characteris cs in the usage of transporta on by the corresponding popula on and, consequently, its effects in sustainable mobility. To do that, we exploited the associa on strength of inherent society characteris cs with the choice of transporta on mode, measured through a predic ve binary logis c regression model. We concluded that sta s cal modeling of variables that are inherent to inves gated medium-sized city popula on could assist the design of strategies to encourage the use of sustainable transporta on modes.