| Literature DB >> 26120405 |
Ghulam Heidar Teymuri1, Marzieh Sadeghian2, Mehdi Kangavari1, Mehdi Asghari3, Elham Madrese4, Marzieh Abbasinia5, Iman Ahmadnezhad6, Yavar Gholizadeh7.
Abstract
BACKGROUND: One of the significant dangers that threaten people's lives is the increased risk of accidents. Annually, more than 1.3 million people die around the world as a result of accidents, and it has been estimated that approximately 300 deaths occur daily due to traffic accidents in the world with more than 50% of that number being people who were not even passengers in the cars. The aim of this study was to examine traffic accidents in Tehran and forecast the number of future accidents using a time-series model.Entities:
Keywords: Accidents; Forecasting; Humans
Year: 2013 PMID: 26120405 PMCID: PMC4477752 DOI: 10.14661/2013.698-705
Source DB: PubMed Journal: Electron Physician ISSN: 2008-5842
Rate of accidents in the city of Tehran in 2010 and 2011 and the mean number of accidents for different days of different months
| Month | Mean of daily accidents | Number of Accidents | |
|---|---|---|---|
| Year 2010 | Year 2011 | ||
| April | 142.79 | 4095.00 | 4758.00 |
| May | 186.24 | 5636.00 | 5911.00 |
| June | 195.27 | 6051.00 | 6056.00 |
| July | 190.63 | 5862.00 | 5957.00 |
| August | 200.63 | 6220.00 | 6219.00 |
| September | 202.05 | 6166.00 | 6361.00 |
| October | 217.02 | 6574.00 | 6447.00 |
| November | 181.15 | 5974.00 | 4895.00 |
| December | 165.33 | 5085.00 | 4835.00 |
| January | 151.28 | 4564.00 | 4513.00 |
| February | 147.90 | 4431.00 | 4443.00 |
| March | 222.64 | 7604.00 | 5309.00 |
Figure 1.Number of accidents expected in April 2012 with a significance level of 95%
Forecasting the number of accidents in Tehran for April 2012
| Day | Upper limit | Lower limit | Mean | Day | Upper limit | Lower limit | Mean |
|---|---|---|---|---|---|---|---|
| 1 | 559.6836 | 109.4746 | 247.5301 | 16 | 379.0106 | 72.83548 | 166.1488 |
| 2 | 241.4187 | 46.97795 | 106.4958 | 17 | 328.2081 | 63.06909 | 143.8742 |
| 3 | 255.0412 | 49.54075 | 112.4052 | 18 | 271.4835 | 52.16664 | 119.0058 |
| 4 | 229.0386 | 44.37207 | 100.8113 | 19 | 459.2483 | 88.24369 | 201.3101 |
| 5 | 270.4625 | 52.28436 | 118.9158 | 20 | 380.3422 | 73.08039 | 166.72 |
| 6 | 227.6957 | 43.94595 | 100.0315 | 21 | 420.2699 | 80.75091 | 184.2205 |
| 7 | 55.7479 | 10.7467 | 24.47664 | 22 | 442.6183 | 85.04392 | 194.0155 |
| 8 | 220.637 | 42.4956 | 96.83028 | 23 | 343.5201 | 66.00277 | 150.5765 |
| 9 | 285.0267 | 54.86183 | 125.0483 | 24 | 449.7419 | 86.41128 | 197.1364 |
| 10 | 272.8489 | 52.49285 | 119.6771 | 25 | 421.2739 | 80.94118 | 184.6575 |
| 11 | 271.4782 | 52.21081 | 119.055 | 26 | 429.9785 | 82.61334 | 188.4727 |
| 12 | 264.0852 | 50.77586 | 115.7979 | 27 | 389.9269 | 74.91788 | 170.9166 |
| 13 | 265.4913 | 51.03651 | 116.4034 | 28 | 399.1469 | 76.68919 | 174.9579 |
| 14 | 401.73 | 77.2154 | 176.1242 | 29 | 458.3042 | 88.05513 | 200.8881 |
| 15 | 320.6406 | 61.62307 | 140.5662 | 30 | 479.2945 | 92.08796 | 210.0887 |