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Integrating Social Media In The Development Of A Special Event Population Dynamics Model, Kelly Michelle Sims
Integrating Social Media In The Development Of A Special Event Population Dynamics Model, Kelly Michelle Sims
Masters Theses
With society’s increasing participation in social media, scientists now have access to new sources of data that reflect our daily activities in space and in time. Such data are plentiful and, more notably, at an unprecedented granular level. The ability for users to capture and express their geolocation through their phones’ global positioning system (GPS) or through a particular location’s hashtag or Facebook Page provides a great opportunity for modeling spatiotemporal population dynamics. High resolution population models and databases for episodic special events can be extremely useful for enhancing emergency management and response. This research assesses the feasibility of improving …
Assessing Survivability Of The Beijing Subway System, Yan Li
Assessing Survivability Of The Beijing Subway System, Yan Li
Masters Theses
The assessment of survivability is a common topic in critical network infrastructure research. In order to examine the critical components whose disruptions can cause huge system degradation, many measures have been approached to depict the characteristics of network systems. Serving more than ten million passengers a day, the Beijing subway system, which ranks third in the world for its length and annual ridership, raises survivability issues in the face of potential disruptions of network components along with its constantly increasing complexity. In this research, we provide an accessibility-based survivability measure with which to explore how potential outages of network components …