Investigating the role of spatial parameters in determining the capacity of the railway in GIS (Case Study: Iran)

Subject Areas :

Bahram Moradi Solooshi ¹ (Ph.D of Remote Sensing and GIS, The Railway of the islamic republic of iran, Iran.)
Samira Boloori ² (Ph.d of Remote Sensing and GIS, The railway of the islamic republic of Iran, Iran)
Mohammad Sadegh Zangeneh ³ (Department of Rs & Gis, Dezful branch, Islamic Azad university, Dezful, Iran.)
Akram Keramat ⁴ (Department of Rs & Gis, Dezful branch, Islamic Azad university, Dezful, Iran.)

Received: 2024-01-13 Accepted : 2024-05-26

Keywords: Capacity, Railway, Spatial Parameters, GIS, ,

Abstract :

Railway transport is considered a mature industry in the developed world. Railways in many countries are still struggling to become more commercially efficient and sustainable. This method of transportation is considered safe, efficient and environmentally friendly. By providing reliable and affordable services, this industry causes economic growth and plays an important role in human life. This research, through the linear regression, determines the capacity of the railway in a case study in Iran for the selected routes and pinpoints the critical blocks to discuss the effect of spatial parameters in determining the capacity of the railway network. Through the existing 2017-related data, the capacity forecast of 2018 was done in GIS environment, and then via the RMSE, R^2, and MAE statistical parameters, the accuracy of the capacity forecast for the extant data of 2018 was performed. The results showed that the capacity of utilizing the selected routes was 82% for cargo trains, 56% for passenger trains on the road, 62% on the way back and 79% on the combined routes. Also, the accuracy prediction of cargo trains was 35% better than that of passenger trains. In the passenger route, the passenger trains were more accurate (approximately 45%). Similarly, in the cargo route, the capacity of cargo trains was of higher accuracy (nearly 45%).

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