Murtaza Haider is an associate professor of Real Estate Management at the Ted Rogers School of Management, Ryerson University, in Toronto. He is also the research director of the Urban Analytics Institute and an adjunct professor of engineering at McGill University in Montreal.
Murtaza Haider is the author of Getting Started with Data Science: Making Sense of Data with Analytics (ISBN 9780133991024), which was published by IBM Press in 2016. Professor Haider specializes in applying analytics and statistical models to find solutions for socio-economic challenges. His research interests include business analytics, data science, forecasting housing market dynamics, transport/infrastructure/urban planning, and human development in Canada and South Asia.
Dr. Haider is a columnist with Canada’s leading financial newspaper, The Financial Post. He is also an avid blogger and writes for Dawn newspaper and Huffington Post. He has also written for The Globe and Mail, The Toronto Star, and The Montreal Gazette. Murtaza Haider is regularly interviewed by media including CBC, City TV, and Global.
Murtaza Haider holds a Masters in transport engineering and planning and a Ph.D. in Urban Systems Analysis (Civil Engineering) from the University of Toronto.
Areas of Expertise (3)
Geoide’s Innovative Idea Award
Morrison Hershfield Teaching Excellence Award (U of T)
Voted by the students and the faculty as the best teaching assistant (2000)
Best Doctoral Research Paper (Jim Davey) Award
Canadian Transportation Research Forum (CTRF) (2000)
Transportation Association of Canada (TAC) Scholarship
Best Master’s Research Paper (Albert Stevens) Award
Canadian Transportation Research Forum (CTRF) (1999)
University of Toronto: Ph.D.
University of Toronto: M.A.Sc.
Selected Media Appearances (2)
Five things you should know before you start your work day on Jan. 25
Financial Post online
A capacity-constrained city with a perennial shortage of affordable housing and limited transport capacity, Toronto may be courting trouble by pursuing Amazon’s HQ2, write Murtaza Haider and Stephen Moranis. (...)
Toronto makes short list for new Amazon headquarters
City News online
Ryerson University’s Murtaza Haider says there are some major issues the city should consider before inviting the commerce giant into the GTA, especially the strain it would place on the city’s resources and the effect it would have on the housing market. Watch below.
Selected Articles (4)
Essam Dabbour, Said Easa, Murtaza Haider
This study attempts to identify significant factors that affect the severity of drivers’ injuries when colliding with trains at railroad-grade crossings by analyzing the individual-specific heterogeneity related to those factors over a period of 15 years. Both fixed-parameter and random-parameter ordered regression models were used to analyze records of all vehicle-train collisions that occurred in the United States from January 1, 2001 to December 31, 2015. For fixed-parameter ordered models, both probit and negative log–log link functions were used. The latter function accounts for the fact that lower injury severity levels are more probable than higher ones. Separate models were developed for heavy and light-duty vehicles. Higher train and vehicle speeds, female, and young drivers (below the age of 21 years) were found to be consistently associated with higher severity of drivers’ injuries for both heavy and light-duty vehicles. Furthermore, favorable weather, light-duty trucks (including pickup trucks, panel trucks, mini-vans, vans, and sports-utility vehicles), and senior drivers (above the age of 65 years) were found be consistently associated with higher severity of drivers’ injuries for light-duty vehicles only. All other factors (e.g. air temperature, the type of warning devices, darkness conditions, and highway pavement type) were found to be temporally unstable, which may explain the conflicting findings of previous studies related to those factors.
Murtaza Haider, Liam Donaldson
This report reviews alternative sources of revenue to support new infrastructure and other development projects for which municipal funds are not readily available. We review two such instruments: Tax Increment Financing (TIF) and Land Value Capture (LVC). We found more frequent use of TIF than LVC. TIF has largely been used to fund small-scale projects, often not exceeding one or two hundred million dollars in capital costs. We could find only two TIF implementations that aimed to generate over a billion dollars in TIF revenue, and those projects fell short of meeting the revenue targets. The evidence for TIF efficacy is mixed and depends, to some extent, on the type of methods used in the analysis. Some studies found the TIF districts reported higher rates of development and greater real estate price appreciation than comparable non-TIF districts. Other studies reached different conclusions. Three key elements were repeatedly found to contribute to TIF success. (1) Mixed land use developments often met their intended TIF objectives. (2) The timing of TIF implementation mattered; TIFs initiated during recessions met with limited success. (3) Smaller TIFs were more successful in meeting revenue targets than larger ones. We simulate a 30-year TIF implementation along the Sheppard East corridor in Toronto, the route for the Sheppard subway line that started operations in 2002, and offer insights for local and higher tiers of government interested in implementing TIF. Our analysis of the Sheppard East corridor found that the net present value of the simulated TIF revenue covered only a small portion of the capital costs of extending the subway line.
Murtaza Haider, Amar Anwar, Cynthia Holmes
The City of Toronto implemented a land transfer tax on real estate transactions in February 2008. We explore the impact of the tax on housing sales in the City of Toronto and the rest of the Greater Toronto Area (GTA). Previous research has shown that housing sales declined in Toronto once the City imposed the land transfer tax. This study, however, concludes that the negative impact of the tax on housing sales was statistically insignificant. Our approach differs from earlier studies in three ways. First, we highlight other influences on housing sales, in particular, the impact of the Great Recession, which overlapped with the imposition of the land transfer tax in Toronto, and the tightening of mortgage regulations in Canada that prevented lenders from issuing subprime mortgages. Second, we analyze the sale of both freehold and condominium properties in the GTA; previous research restricted analysis to freehold properties. Third, we take a regional perspective by contrasting any decline in...
Haider, L. Donaldson, M. Nourinejad
The Toronto City Council is currently reviewing regulatory frameworks that govern the operations of taxicabs and limousines in the city. This report argues that the scope of the Council’s review should be expanded to determine the possible adverse impacts of increased motorization, namely traffic congestion and tailpipe emissions, which would result from taxicab deregulation.