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TRANSPORTATION SYSTEMS ANALYSIS IN MONTRÉAL-NORD
ALIREZA AZADI AHMAD ABADI 40013878MOHAMAD BOLBOL 27591071HOSSEIN KHODAVERDIPOUSARBANDI 40003814WONYEEL HWANGBO 27684886MARZIEH OSTADSHARIF MEMAR 40012648 INSTRUCTOR: PHD. TIM SPURR URBAN TRANSPORTATION PLANNING CIVI 6411 WINTER2016
OUTLINEIntroductionData CollectionData Analysis by Excel (Demand)o Regression Modelo OD Tableo Mode ShareData Analysis by QGIS (Supply)o Bus lineso Trip analysis in Morning peako Trip analysis in Afternoon peakConclusionReferences 2
http://www.venturaxllc.com/transportation/
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INTRODUCTION• 5.1% population of Montreal• 3% of Montreal area.• Demanding problems: - Low income - Difficulty in getting to spaces of inclusion by transit
The population 83,868Number of households in the survey area 34985Number of census tract in the area 18Average income in the study area 43846People belong to the responding households 3368Number of households responding to the survey 1475The sampling rate of this survey 0.42Number of trips made by the surveyed households 7659The average household size 2.4The average number of vehicles per household 0.97Total trips are made during the morning peak period 45680Total trips are made during the Afternoon peak period 56977
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DATA ANALYSIS BY EXCEL
Regression StatisticsMultiple R 0.974242708R Square 0.949148854
Adjusted R Square 0.948674718
Standard Error 323.6603926Observations 434
CoefficientsStandard
Error t Stat P-value
Intercept 115.258346115.8425115
87.27525717
41.65744E
-12 Fulltime worker 4.198475755
0.262780007
15.97715062
2.01268E-45
Part time worker
-5.163515046 1.20838664
-4.27306532
22.37711E
-05Sum of
Students 0.9546422190.34026209
92.80560844
80.005250
642
Sum of Retired 1.0715437140.25413668
54.21640706
23.02927E
-05
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• Four independent variables considered to analyze a regression model.
• The highest R²• Coefficient • T-Stat• P-value• Standard Error
DATA ANALYSIS (cont’d)
Regression StatisticsMultiple R 0.973131301R Square 0.946984529
• The capacity of transportation infrastructures and modes, generally over a geographically defined transport system and for a specific period of time.• Supply is expressed in terms of infrastructures (capacity),
services (frequency) and networks (coverage)• Applying QGIS to GTFS files in order to demonstrate supply
• Analyzing and comparing the demand and supply in the study area shows that the number of trips by cars during the morning and af-ternoon peak are considerable and needs improvement in the pub-lic transit.• According to study ‘The Transportation Systems Analysis in Mon-
treal North’, there should be several improvement ways in this zone-congestion during peak-time.• STM bus Improvement: Decreasing the impedance function of STM
like access time, travel time, and vehicle time in our sector, particu-larly in the mentioned areas which are critical in the morning and afternoon peak period.• Metro Improvement:Providing metro system in the area would im-
prove transit.
REFRENCES• Retrieved from AMT: https://amt.qc.ca/en• Retrieved from STM: http://www.stm.info/en• Retrieved from Statistics Canada: http://www.statcan.gc.ca/start-debut-eng.html• Retrieved from Wikipedia: https://en.wikipedia.org/wiki/Montr%C3%A9al-Nord• . Retrieved from MTQ: https://www.mtq.gouv.qc.ca/en/Pages/default.aspx• Retrieved from CMM: http://cmm.qc.ca/accueil/• Retrieved from Google Map: www.googlemap.com• Retrieved from QGIS: http://www.qgis.org/en/site/• Spurr, T. Urban Transportation Planning Lecture.