The initial motivation for this research was the incorporation of social influences into
evacuations. Research began with a literature review of evacuation research. Results …

Travel patterns can be impacted by abnormal events. Assessing the impacts has important
implications for relief operations and improving preparedness or planning for future events …

This thesis presents a novel trip identification algorithm that supports travel behavior
analysis based on mobile device location data. The proposed trip identification algorithm is …

This research study investigates the possible correlations between mobility, accessibility,
and crime rate. A rich mobile device location dataset including detailed anonymized location …

Many individuals' mobility can be characterized by strong patterns of regular movements
and is influenced by social relationships. Social networks are also often organized into …

In this dissertation, we have proposed solutions to long-standing challenges in data-driven
networked epidemic modeling. In the aftermath of the COVID-19 pandemic, and with several …

ABSTRACT 1 The high rate of urbanization and the ever-increasing number of vehicles on
roads require multiple efforts 2 in order to correctly identify and evaluate interventions to …

With the advent of new mobility services and technologies, the complexity of understanding
the mobility patterns has been gradually intensified. The availability of large datasets, in …

Many individuals' mobility can be characterized by strong patterns of regular movements
and is influenced by social relationships. Social networks are also often organized into …

This thesis was written in the midst of the COVID-19 pandemic as location datasets became
crucial sources of information to address the global health emergency. The subject of this …