Many potential first-time homebuyers in Canada cannot afford to buy a property due to severely inflated real estate prices. By providing the most convenient access to the best information and transparency during the purchase process to all participants, we aim to make real estate transactions fairer for ordinary people. A central guide during the purchase process could be an accurate house price estimate by machine learning. In this proposal, I want to outline research towards developing an accurate and reliable regression scheme for real estate pricing.
Toronto has been experiencing a housing affordability crisis for almost two decades and the house prices continue to increase. The increasing unaffordability causes many problems in the city including increasing social inequality and difficulty of accessing affordable housing essentially for newcomers and racialized communities. This project aims at focusing on the discussion of “missing middle” and attempting to analyze what type of redevelopment is necessary in order to create an affordable housing system in Toronto.
The overall goal of this project is to approach the concept of “smart buildings” from a novel perspective by creating a new building automation and controls technology that unifies smart buildings with data centres, with a focus on interaction between digital models and human operators. Data centres pose unique agility, reliability, security, and efficiency requirements which represent an as-yet unexplored perspective for building automation.
Housing is becoming increasingly unaffordable in Canadian cities and tenants are struggling. Financialized landlords and other investment companies are depleting the affordable rental stock in the private market much faster than new social rental units are being created. One solution is for tenants to have the opportunity to collectively purchase their own buildings when landlords decide to sell. Tenants could convert buildings to limited-equity housing cooperatives leased from a land trust for the long term.
This research is intended to assess Blueprint Residential Property Management Company's current organizational structure, business processes, system infrastructures, policies, leadership skills, and employees to determine areas of change and realignment to move the organization to a leading-edge service company. The research is also intended to factor in opportunities that need to be tapped into due to the impact of the global COVID-19 pandemic and recent Bill-20 legislation passed by the Government of Alberta.
Union: Sustainable Development Co-operative (Union Co-operative) seeks to democratize city-building by empowering its members to collectively buy, upgrade, and manage commercial and residential properties to improve the environmental, social, and economic health of Waterloo Region. This project will support the evolution of the Co-operative’s model, the development of affordable housing for refugees, and create templates that can be implemented by other communities seeking to establish affordable rents and community control of property.
The BC Real Estate Association aims to develop the localized flood vulnerability index (LOFVI). The intention is to increase awareness of new floodplain maps among governments, realtors and consumers through the final report and assess the impact of senior government funding programs. The first step will be to update and prepare an inventory of floodplain maps across the province of BC, which will provide important information that communities need for land use decisions alongside helping property buyers make informed decisions.
Start-ups face several challenges throughout in their attempts to position themselves as goods or services providers. In fact, they can fail at different growth stages. Particularly, they terminate operations before their value propositions advance to solidified business models.
The current pandemic is changing how people work, and creating a new way to think about home. From setting up a kitchen office, to being able to drop a lengthy commute, people across Canada are interacting with their living space in new ways. First time homebuyers (FTHB) have a unique opportunity to re-evaluate what is important to them when house-hunting, but the ways in which the real estate industry communicate with prospective buyers is slow to change. This project asks Millennial FTHB directly about what they look for in a first home, and how they find that information.
Thermal energy storage (TES) systems are suitable to bridge the existing mismatch between demand and supply. In current study, borehole thermal energy storage (BTES) is selected due to its advantages. The performance of the BTES can be affected by several factors in different patterns including design, operation, and geological and material properties.