Anger while driving in Mexico City.

Ana María Hernández-Hernández,Jesús M Siqueiros-García,Carlos Gershenson,Eduardo Robles-Belmont,Sergio A Useche

doi:10.1371/journal.pone.0223048

Abstract

This study aims to analyze the level of anger developed by drivers in Mexico City and also understand the behavior that those drivers use to express that anger, using four different survey methods. The first focuses on personal information, the second Driving Anger Expression Inventory (DAX), the third refers to a shorten version of Driving Anger Scale (DAS) and the fourth being the Dula Dangerous Driving Index (DDDI). These have previously been applied and validated in several different countries. The questionnaires were filled out online by 626 drivers. Using the data collected through the online platform, it was possible to identify the kind of reactions volunteers displayed while driving. Also, it was possible to identify that people in Mexico City developed anger depending on their driving area. Our analyses shows that in the Adaptive/Constructive Expression subscale, males and females show a significant difference in their mean score, with women express their anger in a more constructive way than males.

Highlights

In the last three decades, traffic and human mobility in big cities have been topics of increasing interest for the social [1,2,3,4] and computer science [5,6,7,8]
We introduce the results of five different analyses, one based on gender, a second analysis based on the age of the participants, the third focused on driving time, a fourth analysis was made taking into account whether people drive more because of work requirements, and a fifth analysis was made based on the distance from home to the work place
The analysis showed that in the case of the Use of Vehicle for Aggressive Expression (UVAE) subscale, the only item with a negative correlation was “I follow right behind the other driver for a long time” and we decided to remove the question for the analyses

Summary

Introduction

In the last three decades, traffic and human mobility in big cities have been topics of increasing interest for the social [1,2,3,4] and computer science [5,6,7,8] These topics have been researched to understand the way that people move in the city through street networks [9,10,11,12] or public transportation networks [13,14,15], and to understand people’s behavior as they commute [16, 17].

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Discussion

Conclusion