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How accessible are polling locations in Canada? This article explores, for the first time in the Canadian context, the distance that voters may travel to get to their polling stations. It assembles a new set of data from the province of Ontario, mapping the distance between polling locations and a representative point in the polling division, using a variety of measures, including walking, driving and public transit times. It estimates the relationship between these distances and travel times and socio-demographic characteristics of each polling division, finding noteworthy relationships between these distances and the percentage of minority populations (both immigrant and Indigenous) in the polling division. This article also presents a potential negative, but nonlinear, relationship between distances and travel times and turnout, contributing to our understanding of how voters’ rational calculus of voting may be related to the locations of polling stations.

Responding to tornado disasters resides at a unique intersection of search and rescue operations: it has attributes of wilderness and maritime search and rescue operations and search and rescue operations in the aftermath of earthquakes and hurricanes. This paper presents a method of attempting to leverage historical data to more efficiently identify the extent of the area damaged by a tornado. To assist in building and understanding the historical data, we also develop a method to generate tornado areas that react similarly to the limited historical data set. The paper successfully demonstrates the method of creating artificial tornado instances that can be used as a testing sandbox for the further development of tools when responding to tornado-type disasters. These artificial instances perform similarly in some important metrics to the historical database of tornado instances that we produced. This paper also shows that the use of historical tornado trends has an impact on the response method outlined in this article, typically reducing the standard deviation of the time it takes to fully identify the extent of the damage.

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