A STUDY ON TRAVEL BEHAVIOR OF INFORMAL WORKERS IN MAPUTO, MOZAMBIQUE

Abstract

Informal sector employs a significant proportion of the population in developing countries and the number is likely to
continue increasing due to problems such as poverty and urban population growth. The nature of the activities in this sector
creates complex travel patterns with implications in the temporal and spatial trip distribution, traffic congestion, and
environmental concerns. Using person-trip data, this paper attempts to investigate the travel behavior of the people engaged in the
informal sector or informal workers in Maputo by applying logistic regression model. Findings indicate car ownership, household
size, age, gender, occupation status, and residence location as the main determinants influencing travel behavior of informal
workers in Maputo. These findings are expected to contribute to understanding the daily mobility of informal workers not only in
Maputo but also in other developing cities with the similar socio-economic background.