Sharif Digital Repository

For neurodegenerative diseases like Multiple Sclerosis, Alzheimer’s, or Parkinson’s disease early detection is required to slow progression and prevent disease onset. To do so, identifying early signs and symptoms of the disease as well as modifying lifestyle can play a crucial role. Nowadays, the increasing use of smart gadgets and sensors has paved the way for collecting behavioral data and therefore analyzing and extracting meaningful patterns. In this study, lifestyle and cognitive performance data have been collected via a platform called OptiMind. Previous studies have shown that the Integrated Cognitive Assessment (ICA) can identify patients with neurodegenerative disorders (such as... 

There is a specific focus in sustainable transportation to three domains of safety, air pollution, and energy consumption. All these three domains are affected by the vehicle type choice. An important factor to estimate the impact of vehicle type choice on safety, air pollution, and the energy consumption is self-selection, defined as the tendency of people to make their travel-related choices based on their abilities, needs, and preferences. Ignoring the self-selection effect may cause a bias in the estimation of the coefficients of affecting variables on the travel-related choice. The main objective of this thesis is to study the self-selection effect in vehicle type choice considering the... 

In the literature on transportation demand analysis, there is an ongoing debate among researchers regarding the causality of the relationship between the built environment and travel behavior. The central issue in this context is residential self-selection, which refers to individuals' tendency to choose their residential location based on their travel abilities, needs, and preferences. Ignoring this phenomenon leads to an overestimation of the true impact of built environment characteristics on travel behavior, resulting in inefficient policy-making based on such estimates. The objective of this research is to examine the effect of residential self-selection on travel mode choice,...