Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework
Abstract
:1. Introduction
1.1. Background
1.2. Research Contribution
2. Materials and Methods
2.1. Dataset
2.2. Methods
3. Discussion
3.1. Analysis of Freight Transportation Mode Choice Factors
3.2. Comparing Atlantic Provinces
3.2.1. Nova Scotia
3.2.2. New Brunswick
3.2.3. Newfoundland and Labrador
3.2.4. Prince Edward Island
3.3. Relationship between Product Type and Transportation Mode
3.4. Analysis of Freight Based on the Product Type
3.5. Simple and Multiple Linear Regression Analysis
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Year | Total Number of Shipments | Total TonneKm | Total Shipment Value | Total Revenue Earned by Carriers |
---|---|---|---|---|
2011 | 1,253,482 | 7,047,863,934 | CAD 28,031,035,422 | CAD 666,859,119 |
2012 | 1,245,306 | 6,689,204,634 | CAD 31,780,643,580 | CAD 687,348,190 |
2013 | 1,272,170 | 7,142,635,806 | CAD 30,324,182,403 | CAD 696,063,403 |
2014 | 1,273,006 | 6,667,215,334 | CAD 27,955,593,227 | CAD 675,826,517 |
2015 | 1,223,374 | 6,988,450,358 | CAD 28,427,268,761 | CAD 631,229,644 |
2016 | 1,295,798 | 7,202,189,787 | CAD 32,498,050,364 | CAD 718,559,814 |
Year | Total Number of Shipments | Total TonneKm | Total Shipment Value | Total Revenue Earned by Carriers |
---|---|---|---|---|
2011 | 1,234,620 | 7,515,101,458 | CAD 36,430,490,469 | CAD 640,167,051 |
2012 | 1,298,787 | 10,631,655,193 | CAD 35,109,593,370 | CAD 826,373,068 |
2013 | 1,228,205 | 11,004,461,194 | CAD 32,382,113,308 | CAD 832,571,179 |
2014 | 1,306,707 | 12,197,146,309 | CAD 32,156,352,025 | CAD 942,739,350 |
2015 | 1,298,803 | 13,227,500,230 | CAD 37,642,259,953 | CAD 963,812,314 |
2016 | 1,315,961 | 13,711,836,472 | CAD 37,602,132,494 | CAD 940,842,139 |
Year | Total Number of Shipments | Total TonneKm | Total Shipment Value | Total Revenue Earned by Carriers |
---|---|---|---|---|
2011 | 591,526 | 3,489,099,196 | CAD 17,735,759,898 | CAD 451,043,471 |
2012 | 701,395 | 3,611,128,539 | CAD 16,761,951,282 | CAD 495,442,219 |
2013 | 880,072 | 2,623,420,883 | CAD 9,273,539,031 | CAD 421,056,463 |
2014 | 649,701 | 3,720,469,944 | CAD 12,316,758,786 | CAD 535,362,614 |
2015 | 597,303 | 3,067,894,755 | CAD 9,521,704,507 | CAD 467,525,016 |
2016 | 577,610 | 3,592,056,138 | CAD 11,776,422,595 | CAD 405,310,459 |
Year | Total Number of Shipments | Total TonneKm | Total Shipment Value | Total Revenue Earned by Carriers |
---|---|---|---|---|
2011 | 148,638 | 405,460,885 | CAD 2,535,132,534 | CAD 54,494,308 |
2012 | 141,950 | 441,455,616 | CAD 3,347,252,745 | CAD 61,442,118 |
2013 | 146,927 | 261,411,418 | CAD 2,845,936,534 | CAD 44,070,637 |
2014 | 168,967 | 341,713,525 | CAD 3,151,889,070 | CAD 60,807,620 |
2015 | 196,585 | 389,635,337 | CAD 4,337,280,456 | CAD 59,685,575 |
2016 | 169,878 | 535,876,762 | CAD 3,972,637,034 | CAD 68,011,597 |
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Yousefi, J.; Ashtab, S.; Yasaei, A.; George, A.; Mukarram, A.; Sandhu, S.S. Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework. Logistics 2023, 7, 29. https://doi.org/10.3390/logistics7020029
Yousefi J, Ashtab S, Yasaei A, George A, Mukarram A, Sandhu SS. Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework. Logistics. 2023; 7(2):29. https://doi.org/10.3390/logistics7020029
Chicago/Turabian StyleYousefi, Jamileh, Sahand Ashtab, Amirali Yasaei, Allu George, Ali Mukarram, and Satinderpal Singh Sandhu. 2023. "Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework" Logistics 7, no. 2: 29. https://doi.org/10.3390/logistics7020029