In public sector, the decision making of construction permitting can have direct impacts on the ongoing urban development. The efficiency and predictability of the review process is critical for municipalities to provide timely and accurate results to the public. As the review process is managed digitally with process data available, using data analytics to develop predictive models can result in improvement of efficiency and predictability.
Destructive effects of Green House Oas (OHO) emissions on the environment such as climate change and global warming are some oftoday's major concerns. According to the "Environmental Protection Agency" (EPA) U.S 2010, construction is the third highest source ofOHO emission between other industrial sections. Underground utility construction projects are considered as one of the major areas of the construction projects. Also Underground infrastructure is aging across North America; hence rehabilitation or new installation of pipelines and facilities has become inevitable.
Traffic accident data aggregation relates with boundary issues is OTS's first project with University of Calgary. Several years of collision data, traffic network and neighborhood will be collected from OTS. This project contains implicit knowledge to improve the data aggregation method which has significant impact of data sharing on neighborhood boundaries. The first part of this study will focus on literature review and practicing existing methods to identify key factors and issues influencing the collision data aggregation on neighborhood boundaries.
Constructed wetland is a critical water infrastructure in major Canadian cities like the city of Edmonton, which treats wastewater including storm water by reducing the suspended solids and the related contaminants before entering into receiving waterbody. The design and evaluating the performance of a constructed wetland requires accurate prediction of flow fields and particle pollutants settling behaviours.
The purpose of this project is to study the policies used to relocate ambulances in the City of Edmonton. The main goal of this internship is to improve the performance while minimizing the effects on ambulance crews’ workload. With this purpose in mind, the first step is to put in place a software simulation as a test bed to evaluate new solutions proposed (with the added advantage of being useful to evaluate changes in other areas). The second step will be to develop new models useful to analyze and improve on the ambulance relocation policies in use.
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