Instructor Information |
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Name: |
Murtaza Haider, Ph.D. |
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Email: |
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| Office location: |
Macdonald Harrington Building, Room 403
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| Office hours: |
Wednesday, 10:05 to 12:25 pm |
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| Phone: |
514.398.4079 |
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Biography: |
Professor Haider holds a joint appointment with the School of Urban Planning and the Department of Civil Engineering at McGill University where he teaches travel demand forecasting, land development and urban infrastructure investments. Professor Haider’s researches integrated transportation-land use modeling, real estate market dynamics, and equity concerns in mobility. He is a member of the Transportation Research Board’s Transportation and Land Development committee. He is also a member of the Canadian Transport Research Forum. A graduate of Engineering University in Peshawar, he later earned a Masters in transportation engineering and planning, and a Ph.D. in urban systems analysis from the University of Toronto. He also obtained a certificate in magazine journalism from Ryerson University. As a former journalist, he has written extensively on development issues in South Asia. |
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Course Information |
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| Course title: | Urban Transportation Planning | |||||||||||||||||||||||||||||||||||||||||||||
| Course number: | CIVE540 | |||||||||||||||||||||||||||||||||||||||||||||
| Prerequisite: | CIVE319: Transportation Engineering or permission from the instructor | |||||||||||||||||||||||||||||||||||||||||||||
| Course discipline: | Civil Engineering | |||||||||||||||||||||||||||||||||||||||||||||
| Course description: | The course is listed with
the following description in the McGill University's academic calendar:
The course is based on the following inter-linked themes:
A case study approach will be adopted for this course. The instructor will present results from a series of research projects in transport planning, which will demonstrate the application of travel demand forecasting tools. In addition, travel behaviour analysis of select North American cities in a GIS environment will also be presented. |
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| Course date: | September 7, 2005 to December 01, 2005 | |||||||||||||||||||||||||||||||||||||||||||||
| Location: | Adams 5 | |||||||||||||||||||||||||||||||||||||||||||||
| Meeting days: |
Lectures: Wednesdays, 12:35 to 3:25 pm Tutorials: Thursdays, 1:35 to 2:25 pm |
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Course Objectives |
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This course intends to prepare students for the following:
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Assignments and Evaluation |
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| For undergraduate students |
The undergraduate engineering students will follow an
empirical route solving numerical assignments and with a mid-term
examination.
* Students have to submit all assignments to get a passing grade. A 3%/day penalty will be imposed for late submissions for assignments and term papers. |
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| For graduate students |
Graduate students will
follow an analytical path and therefore evaluation will
be based on two short essays and a term paper.
A 3%/day penalty will be imposed for late submissions for essays and term papers. |
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Academic Integrity |
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| Students registered in the course are expected to abide by the Code of Student Conduct and Disciplinary Procedures as explained in the Handbook of Student Rights and Responsibilities of McGill University. In addition, students are expected to adhere to the code of ethics adopted by the Faculty of Engineering titled, "The Blueprint". Students are also encouraged to review the academic integrity guidelines and obligations as outlined on the McGill Integrity website (http://www.mcgill.ca/integrity). | ||||||||||||||||||||||||||||||||||||||||||||||
Reading Material |
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| Readings: | A course pack will be available from the McGill University Book Store. | |||||||||||||||||||||||||||||||||||||||||||||
| Software: |
This is an intense course designed around the state-of-the-art travel
demand-modelling suite, TransCAD (http://www.caliper.com/tcovu.htm).
The Greater Montréal Area will serve as a laboratory for this course. Using
data from the latest Origin-Destination survey (1998) for the Greater
Montréal Area, students will provide solutions to the real-life problems
presented in assignments and term paper/s. For those students who are interested in developing new assignment algorithms or testing the performance of existing algorithms, I recommend the use of Maple, which is available from Maplesoft (http://www.maplesoft.com). In addition, the handouts for gravity models and other trip distribution models are in Maple format, which could be used to solve trip distribution models. |
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Lecture Schedule |
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Tutorial Schedule |
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