Research outputs

Tracking impacts of light rail investment through a volatile housing market: Combining qualitative and quantitative methods to understand dynamic influences of demographic change and investment incentives
Combining household survey data, key informant interviews, and hedonic modelling to understand housing demand in a dynamically shifting market
Monitoring and modelling the causes and consequences of urban intensification in Waterloo Region

Saturday, November 11, 2017

Interpreting and Modelling the Housing Market from Individual Behaviours (PDF)

Presentation to the North American regional scientists Conference, Vancouver BC, November 10, 2017.

Interpreting and Modelling the Housing Market from Individual Behaviours

Reports

Monday, October 19, 2020

Cycling Infrastructure and Its Relationship to Residential Property Prices (PDF)

Dr. Brian Doucet, Dr. Dawn Parker, Emma McDougall, Yu Huang, and Devin Feng

There is a commonly-held myth that bike lanes will reduce local property values. This myth is part of an often vocal ‘bikelash’ – resistance to cycling infrastructure. However, as with many other issues pertaining to cycling, there is little evidence to support this claim. This report explicitly seeks to understand to what extent cycling infrastructure impacts residential property values. Our case study examines the cities of Kitchener, Waterloo and Cambridge, situated within the Region of Waterloo. All four local governments have been active in developing new cycling infrastructure, and they have also seen resistance to new infrastructure by some segments of the local community. While these cities do not have an abundance of separated cycling infrastructure, new bike lanes are added each year, and cycling is one of the most contentious local issues.

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Theses

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