ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN

This article focuses on the critical importance of demand estimates for effective planning and decision-making in the railway freight transportation industry. Various departments within transportation companies, including marketing, production, distribution, and finance departments, heavily rely on...

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Main Authors: Madiyar SULTANBEK, Nazdana ADILOVA, Aleksander SŁADKOWSKI, Arnur KARIBAYEV
Format: Article
Language:English
Published: Silesian University of Technology 2023-09-01
Series:Transport Problems
Subjects:
Online Access:http://transportproblems.polsl.pl/pl/Archiwum/2023/zeszyt3/2023t18z3_07.pdf
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author Madiyar SULTANBEK
Nazdana ADILOVA
Aleksander SŁADKOWSKI
Arnur KARIBAYEV
author_facet Madiyar SULTANBEK
Nazdana ADILOVA
Aleksander SŁADKOWSKI
Arnur KARIBAYEV
author_sort Madiyar SULTANBEK
collection DOAJ
description This article focuses on the critical importance of demand estimates for effective planning and decision-making in the railway freight transportation industry. Various departments within transportation companies, including marketing, production, distribution, and finance departments, heavily rely on accurate demand forecasts to make informed decisions. Forecasting demand is a crucial aspect of managing business processes, and the methods for doing this can vary across different industries. The ultimate goal remains consistent—to obtain precise predictions of future demand by analyzing historical data and current environmental factors. In the context of transportation services, accurate demand forecasting is essential for successful operational planning and management of functional areas such as transportation operations, marketing, and finance. The current case study specifically examines the National Company Kazakhstan Temir Zholy (KTZ), a transport and logistics holding engaged in rail transportation in Kazakhstan. KTZ’s main sources of income are related to freight transportation. The volume of cargo transportation (in tons) and the freight turnover play a significant role in assessing demand and forecasting future revenues from freight traffic. Different techniques for demand forecasting are explored, including qualitative and quantitative methods. Qualitative methods rely on judgments and opinions, while quantitative methods utilize historical data or identify causal relationships between variables. Overall, the present study highlights the critical role of demand forecasting in the railway freight transportation industry and its impact on efficient planning and decision-making processes.
format Article
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institution Kabale University
issn 1896-0596
2300-861X
language English
publishDate 2023-09-01
publisher Silesian University of Technology
record_format Article
series Transport Problems
spelling doaj-art-0d068dfabef44ac293f0204ed3bd023f2025-01-16T15:11:42ZengSilesian University of TechnologyTransport Problems1896-05962300-861X2023-09-01183778810.20858/tp.2023.18.3.07ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTANMadiyar SULTANBEK0https://orcid.org/0000-0002-4408-3552Nazdana ADILOVA1https://orcid.org/0000-0002-8184-6993Aleksander SŁADKOWSKI2https://orcid.org/0000-0002-1041-4309Arnur KARIBAYEV3https://orcid.org/0009-0006-7296-3502Al-Farabi KazNUAl-Farabi KazNUSilesian University of TechnologyJSV “National company “Kazakhstan Temir Zholy”This article focuses on the critical importance of demand estimates for effective planning and decision-making in the railway freight transportation industry. Various departments within transportation companies, including marketing, production, distribution, and finance departments, heavily rely on accurate demand forecasts to make informed decisions. Forecasting demand is a crucial aspect of managing business processes, and the methods for doing this can vary across different industries. The ultimate goal remains consistent—to obtain precise predictions of future demand by analyzing historical data and current environmental factors. In the context of transportation services, accurate demand forecasting is essential for successful operational planning and management of functional areas such as transportation operations, marketing, and finance. The current case study specifically examines the National Company Kazakhstan Temir Zholy (KTZ), a transport and logistics holding engaged in rail transportation in Kazakhstan. KTZ’s main sources of income are related to freight transportation. The volume of cargo transportation (in tons) and the freight turnover play a significant role in assessing demand and forecasting future revenues from freight traffic. Different techniques for demand forecasting are explored, including qualitative and quantitative methods. Qualitative methods rely on judgments and opinions, while quantitative methods utilize historical data or identify causal relationships between variables. Overall, the present study highlights the critical role of demand forecasting in the railway freight transportation industry and its impact on efficient planning and decision-making processes.http://transportproblems.polsl.pl/pl/Archiwum/2023/zeszyt3/2023t18z3_07.pdfdemand estimationrailway freight transportationvolume and turnoverarimaforecast quality assessment
spellingShingle Madiyar SULTANBEK
Nazdana ADILOVA
Aleksander SŁADKOWSKI
Arnur KARIBAYEV
ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
Transport Problems
demand estimation
railway freight transportation
volume and turnover
arima
forecast quality assessment
title ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
title_full ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
title_fullStr ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
title_full_unstemmed ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
title_short ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN
title_sort estimating the demand for railway freight transportation a case study in kazakhstan
topic demand estimation
railway freight transportation
volume and turnover
arima
forecast quality assessment
url http://transportproblems.polsl.pl/pl/Archiwum/2023/zeszyt3/2023t18z3_07.pdf
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AT nazdanaadilova estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan
AT aleksandersładkowski estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan
AT arnurkaribayev estimatingthedemandforrailwayfreighttransportationacasestudyinkazakhstan