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Comparing Mode Shares For Non-Residential Destinations In Urban And Suburban Environments, Tasnia Subrin
Comparing Mode Shares For Non-Residential Destinations In Urban And Suburban Environments, Tasnia Subrin
Student Research Symposium
To ensure facility for multimodal transportation is one of the most important concerns in today’s transportation sector, with initiatives being taken to make multimodal transportation popular. The built environment variables have a strong relationship with transportation mode choice, but whether that relationship holds true in urban and suburban neighborhoods in the same manner has not been considered. Using data for three non-residential land uses, this research explores whether the built environment variables in suburban areas influences mode share like it does in urban areas. We used survey data conducted at the establishments regarding respondents’ travel characteristics from a previous study, …
Factors Affecting Big Data Technology Adoption, Nayem Rahman
Factors Affecting Big Data Technology Adoption, Nayem Rahman
Student Research Symposium
With the advancement of computer science, hardware and software engineering, and computing power, and later with the advent of the internet, social networking tools and other sources such as sensors data growth has increased significantly. These data are called big data which are mostly unstructured, generated in large volumes, data need to be captured in near real-time. To handle big data a completely new set of tools and technologies are being emerged. I have studied big data literature to identify the factors that might influence big data adoption. I was able to list quite a few factors or attributes that …
Online Dissemination Of Official Information - The 2014 Carlton Complex Wildfires, Apoorva Chauhan
Online Dissemination Of Official Information - The 2014 Carlton Complex Wildfires, Apoorva Chauhan
Student Research Symposium
Using the 2014 Carlton Complex wildfires as a case study, we explore how emergency responders and the news media shared official information online during this crisis event. We first identified the local emergency response and news media agencies for this event and then collected data from each agency’s Facebook account, Twitter account, and website. The data show that most of the online information about this event came from the local agencies handling the event. The data also show that in most cases, event updates were first reported online by the local news media of the affected cities and communities. We …