Evaluating the Efficiency of the Baghdad-Kirkuk Road Using Quantitative Methods

Abstract

The study and analysis of road networks and their density has become one of the most important modern trends in transport geography, relying on quantitative methods in the spatial analysis of transport networks. A number of theories and studies have emerged that have given accurate results, in addition to other methods such as prediction. This is one of the important criteria for providing a picture of the service provided by the road network to the residents of the area. The higher the score, the more adequate the road network, and conversely, the lower the score, the more areas are deprived of this service. Regarding the road network in the study area, it was found that the road density relative to the area was moderate compared to the global average. However, the road density relative to the population was very low compared to the average. Through the analysis of the degree of connectivity, the Beta index value was (2.10), indicating the presence of more than one integrated network and complete connectivity. The Gamma index value was (0.77), indicating a fully integrated network, while the Alpha index value was (1.38), indicating maximum connectivity between multiple networks. The overall curve index for the districts was (109.7%). Comparing the curve index values ​​for all districts with the road efficiency classification, we see that the road is highly efficient, indicating that curves do not negatively impact the road's ability to avoid natural obstacles, but rather have a positive impact.