Individual, household, and urban form determinants of trip chaining of non-work travel in M′exico City

This project studies the driving factors of non-work travel trip chaining in the Me ' xico City Metropolitan Area (MCMA). It has been argued that urban traveling is increasingly becoming more intricate given that travelers pursue more than one activity in their daily travel. Unlike commuting, non-work travel has been less studied, the literature being even scarcer if we consider the Latin American context as well. Non-work travel is represented by travel to study and other variety of destinations. Thus, using the 2017 Household Origin-Destination Survey (HODS17), this paper analyzes separately the groups of Students and the rest of travelers called Others in terms of patterns of trip chaining among three modes choices: Transit, Car, and Mixed transportation. Two regression models were applied to study the determinants of 1) number of stops in the daily travel (trip chaining) and 2) tour categories in increasing degree of complexity. A descriptive analysis identified that Car users and Mixed transportation had the highest shares of complex tours together with those in the Others group. The associations found between some socioeconomic variables (gender, age, and household size) with trip chaining and tour complexity were different among Students and Others, and discussed in relation to the existing literature. Moreover, most urban form variables supported the hypothesis that dense and diverse urban environments are associated with more trip chaining and tour complexity. These results were discussed in light of the implications to understand the transport disadvantage condition of peripheral low-income neighborhoods typical of big cities in the developing context.

Automated summary

This study examines the driving factors of non-work travel trip chaining in the Mexico City Metropolitan Area and analyzes the travel patterns of students and other travelers using the 2017 Household Origin-Destination Survey data. The findings suggest that car users, mixed transportation users, and others have the most complex travel patterns, and urban dense and diverse environments are associated with increased trip chaining and tour complexity.