Healthy Transportation Choices with IoT and Smart Nudging

Abstract

Modern technology has provided people with ease of living but at the same time has given birth to the problems of equally modern nature. For instance, high reliance on private transportation has resulted in unintended consequences such as high level of air pollution and congestion in urban cities. Another main disadvantage that is often overlooked is related to the rise of several noncommunicable diseases that are caused due to excessive dependence on cars and lack of physical activity. This thesis is entirely dedicated to encounter serious hazards of lack of physical activity by choosing unhealthy transportation choices. The interaction between people and the computers has become ubiquitous over the span of years. People interact in digital environment for a number of reasons. From checking weather conditions to running multinational trading businesses, computer driven digital automation has taken over what has always remained a manual handiwork. Cognizant of the potency of computer driven services and its authority, we propose applying nudge theory to encourage users to choose healthy options when it comes to any type of mobility. The first step involves researching about collecting, storing and performing analysis on data from different resources and then suggesting different techniques to manipulate it in order to perform an effective nudge.