Ryerson University

Institute of Housing and Mobility

Type d'organisation:

Milieu universitaire

Institution/faculté/département à l’origine de sa fondation:

Ted Rogers School of Management, Faculty of Business, Ryerson University

Année de création:

2007

Objectifs/pôle d’intérêt/mandat/mission:

To serve as a hub for researchers interested in exploring market-based solutions for issues around housing and transportation, while minimizing the environmental impact of growth and development.

Associés/partenaires/autres disciplines :

CMHC, RealNet Canada, The Logistics Institute, McGill University, and University of Toronto, Transport Canada, Infrastructure Canada, Caliper Corporation, Canadian Courier & Logistics Association, The Globe and Mail

Agences/organismes de financement:

A seed grant from the Ted Rogers School of Management

Langue:

English

Domaines de spécialisation:

Housing market analysis, urban transportation, public transit, microeconomic behavior of builders, urban systems analysis, freight and logistics, community diversity and housing markets

Autres activités:

Hosting research seminars, industry networking breakfasts, and workshops

Chercheurs et leurs domaines de recherche:

Director: Prof. Murtaza Haider

Collaborators: Prof. Sandeep Kumar & Prof. Najam Saqib (Ryerson), Dr. Ray Tomalty, Prof. Madhav Badami & Prof. Raphael Fischler (McGill), Prof. Matt Roorda (U of T), Dr. Zachary Patterson (EPFL, Switzerland)

Graduate Research Assistant: Sean Nix, Bilal Farooq, Christian Kreling, Lindsay Lalonde, Derick Spenard

Undergraduate: Christopher Livett

Fields of research: Urban transportation, housing affordability and market analysis, smart growth, new urbanism, transport-land use interactions, public transit planning, transport infrastructure investment, diverse communities, air transportation and markets, freight and seaport analysis, spatial analysis and applied econometrics

Programmes offerts:

Non degree granting institute. Offers certificate in spatial analysis, statistical modeling and econometrics, demand forecasting, and GIS